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		<title>A Year-End Q &#038; A with the Minnesota COMM HSP Early Career Team</title>
		<link>https://commhsp.org/a-year-end-q-a-with-the-minnesota-comm-hsp-early-career-team/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=a-year-end-q-a-with-the-minnesota-comm-hsp-early-career-team</link>
		
		<dc:creator><![CDATA[commhsp]]></dc:creator>
		<pubDate>Tue, 23 Dec 2025 19:25:02 +0000</pubDate>
				<category><![CDATA[Uncategorized]]></category>
		<guid isPermaLink="false">https://commhsp.org/?p=1669</guid>

					<description><![CDATA[Over the past three years, the University of Minnesota COMM HSP team has engaged many early career researchers, including masters students, doctoral students, masters-level research coordinators, and a postdoctoral fellow. In this blog post, they reflect on their experience studying communication and health equity. The researchers interviewed here have engaged in a host of projects: [&#8230;]]]></description>
										<content:encoded><![CDATA[
<p>Over the past three years, the University of Minnesota COMM HSP team has engaged many early career researchers, including masters students, doctoral students, masters-level research coordinators, and a postdoctoral fellow. </p>



<span id="more-1669"></span>



<p>In this blog post, they reflect on their experience studying communication and health equity. The researchers interviewed here have engaged in a host of projects: analyzing the strategies <a href="https://www.milbank.org/quarterly/articles/strategies-for-and-barriers-to-communicating-about-health-equity-in-challenging-times-qualitative-interviews-with-public-health-communicators/" target="_blank" rel="noreferrer noopener">communicators use to discuss health equity in practice</a>; assessing news media coverage of topics including homelessness, <a href="https://commhsp.org/when-does-u-s-media-cover-native-american-people-preliminary-findings-from-an-analysis-of-2024-u-s-local-tv-news/" target="_blank" rel="noreferrer noopener">Native people</a>, Black youth mental health, and doulas; reviewing the <a href="https://link.springer.com/article/10.1186/s12889-025-23875-x" target="_blank" rel="noreferrer noopener">literature on news media coverage of the social safety net</a>; studying racialized and anti-trans messages in political campaign advertisements; partnering with community organizers to evaluate narrative strategy; investigating the <a href="https://read.dukeupress.edu/jhppl/article/49/3/403/383876/Polarized-Perspectives-on-Health-Equity-Results" target="_blank" rel="noreferrer noopener">politicization of public health</a>, and more. This blog post serves as a reminder that the Collaborative on Media and Messaging for Health and Social Policy is not just a research team, but has also been an opportunity to train the future research workforce to engage in innovative, rapidly responsive and community-engaged communication research to meet today’s challenges. Below, they share their voices.</p>



<h5 class="wp-block-heading"><strong>Q: The political landscape around health equity and communication has never been so fraught. How has this landscape impacted the research you’ve supported within COMM HSP?</strong></h5>



<p><strong>Kene:</strong> The current political landscape has served as fuel and motivation for my future work. In one current project, where I am analyzing news media coverage of doulas contextualized within the maternal health crisis, I feel even more of a responsibility to accurately capture and document the mechanisms of racism. Literature and critical theories tell us that remaining colorblind is detrimental to population health. While the current administration has brought unique challenges to the work, unfortunately many impacted communities have faced far worse. It is evident that the need for health equity work is even more dire, and we cannot give up because health equity is no longer “trendy.” As a self-identifying scholar-activist, I encourage other scholars and practitioners interested in health equity to remain critical, get creative, and keep doing the work – because it is needed.&nbsp;</p>



<p><strong>CeRon</strong>: My commitment to community-engaged and policy-relevant research was further shaped through my work with COMM HSP, particularly amid an increasingly polarized political landscape around health equity, media, and messaging. This work examines health disparities and inequities alongside the powerful role media and messaging play in shaping health and social policy across the life course. At a time when health equity research is often politicized or contested, this work has underscored the importance of using rigorous qualitative, quantitative, and mixed-methods approaches to document inequities and elevate evidence-based narratives. By identifying underrepresented groups most affected by structural and communicative barriers to care, this research informs strategies to reduce inequities among at-risk populations. For example, by examining how intersecting social positions (e.g., being Black and young) shape media representations of mental health experiences in local television news, this work highlights how political and media environments can either reinforce or challenge stigma. These findings have implications for improving inclusive and culturally responsive communication practices and for informing political initiatives aimed at dismantling institutional barriers that disproportionately impact marginalized communities. More broadly, this experience has reinforced my understanding that media and public opinion are not neutral forces; they shape policy priorities and other political determinants of health. As a result, my future work remains firmly grounded in community-based participatory research and in centering the voices and experiences of underrepresented communities, especially in politically fraught contexts where those voices are most at risk of being sidelined.</p>



<p><strong>Ben: </strong>Health equity work is political—a reality the current moment has brought into sharp relief. This is true for my current project which analyzes anti-trans narratives in political advertising from a health equity perspective. It is also true for the many interconnected fields of research that compose COMM HSP: racism, health communication, and community organizing, to name a few. As the longstanding material scarcities affecting this work intensify, I am grateful for the members of this team who have modeled the critical work I aspire to and support me in speaking my mind.&nbsp;</p>



<h5 class="wp-block-heading"><strong>Q: Moving forward, where should the field focus its energy to advance health equity through communication?</strong></h5>



<p><strong>Quin: </strong>The political moment we live in may have impacted funding, stability, and the overall vibes around health equity and communication research right now – but certainly not my dedication to the work. Regardless of what the government decides to say or do, the work will get done by passionate people who care deeply about health equity and how we talk about it. I’m still invested – even when others (be they funders, journals, or reporters) are moving along. That’s fine! The way I see it, one of academia’s weaknesses has become one of our strengths at this time: our inability to quickly mold ourselves and adapt to the current moment. I say this because it would be very easy to “give in” right now…to solely follow the money, to stop researching things we care about, to stop speaking out against injustice both related and unrelated to our areas of study. While funding is important, so are our principles. Those willing to stand resiliently and say that health equity is still necessary when it isn’t “in fashion” are communicating clearly where they stand – and that strength is something we will need once we maneuver out of this chaotic time in American politics. </p>



<p><strong>Yusra</strong>: As conditions continue intensifying around us, and more and more scholars, community organizers, and journalists find themselves navigating increasingly sharp terrain, I have been so inspired and heartened by our shared commitments to find our role in amplifying the stories of people on the ground who are leaning into their power to resist, refuse, and fight back. When I started my work as a research assistant with COMM HSP, one of my first projects centered around the work of a group of community organizers in Colorado, building a base of mostly immigrants to fight for access to health care. The first stage of this research involved interviews with community leaders from the base – ordinary people who had decided to devote their time and energy to struggling together against behemoth healthcare institutions and powerful political and economic forces who are compromising our access to affordable and dignified care. It can be so easy to fall into despair, looking at the political landscape, and wonder, “how are we going to get out of this?” As I think about my future work, I think about how research can serve as a tool to uplift and amplify the incredible work of community organizers building collective power to transform our conditions, and keep us rooted and anchored in a politics of imagination, not despair.</p>



<h5 class="wp-block-heading"><strong>Q: How will you bring the research methodologies you have used within COMM HSP into your future work?&nbsp;</strong></h5>



<p><strong>Kristina:</strong> Working with COMM HSP has taught me to understand communication about health and social policy holistically. Understanding the media environment using media content analysis, designing powerful narratives with community partners, and examining the effects of messages through experimental design are skills that will all be used in my future research. I am deeply appreciative of the diverse skills I have gained, and I look forward to advancing message strategies for health equity through my research.</p>



<p><strong>CeRon</strong>: The research methodologies I used within COMM HSP, particularly qualitative and quantitative approaches, will remain central to my future work examining health inequities in political and media contexts. I plan to continue pairing quantitative analyses that identify structural patterns with qualitative methods that center lived experiences, allowing for a more nuanced understanding of how communication and policy shape health outcomes. These approaches also reinforce my commitment to community-engaged research that produces evidence that is rigorous and directly relevant to the development of equitable health policies and practices.</p>



<p><strong>Yusra: </strong>Within COMM HSP, I have learned and practiced three methodologies that feel aligned with my core research topics: media content analysis, writing and administering surveys, and conducting focus groups/interviews. Most importantly, I have seen how bridging these methods — for example, drawing from focus groups with housing justice organizers to develop a message-testing survey — challenges us to develop more nuanced research questions and sharpens our ability to answer them, even though it may extend the timeline of our projects. Particularly in projects involving community partners, I have deeply appreciated a culture of moving at the speed of trust and rejecting urgency, enabling us to offer research that is responsive to the needs of our partners and their members on the ground.</p>



<h5 class="wp-block-heading"><strong>Q: </strong><a href="https://commhsp.org/about/#our-research" target="_blank" rel="noreferrer noopener"><strong>Engagement, Dissemination, and Implementation</strong></a><strong> are the key themes of the Minnesota “hub”. Do you have any tips for how to do dissemination effectively?</strong></h5>



<p><strong>Muna: </strong>To disseminate effectively, I focus on two core principles: accessibility and application. My priority is to translate our research, which examines communication strategies for health and racial equity, into formats that are immediately useful for key audiences like practitioners and journalists.</p>



<p>As the external communications coordinator, I deeply value making our findings accessible. This means developing clear, actionable outputs from complex studies –think tip sheets, easy-to-read briefs, and blog posts that highlight the &#8220;so what.&#8221;</p>



<p>Then, we share this information strategically. We distribute it through our <a href="https://commhsp.org/subscribe/" target="_blank" rel="noreferrer noopener">newsletters</a> and host webinars with collaborators that connect our insights directly to practitioners&#8217; work. This includes building relationships through <a href="https://commhsp.org/strengthening-local-journalisms-role-in-public-health-key-takeaways-from-our-march-5-panel/">local events</a> and direct outreach, ensuring our research becomes a tool for their community reporting.</p>



<p>We also actively share on platforms like LinkedIn and Bluesky. This allows us to reach a broader community interested in changing narratives to advance health and racial equity, sparking conversations and ensuring our work doesn’t get siloed in the research space, but actively informs real-world communication strategies.</p>



<h5 class="wp-block-heading"><strong>Q: Many of the researchers on the team have done content analysis work, developing coding instruments and applying them to media, mainly local television and political campaign ads. This is often very hard work, having to be systematic in watching and rewatching broadcast content, and the content itself is often negative – exposing some very difficult themes about how marginalized populations are socially constructed. Do you have any ideas on why this work is important?&nbsp;</strong></h5>



<p><strong>Chloe:</strong> Though the work can be difficult, content analysis in the health equity space is important because it forces us to slow down and sit with the narratives people are exposed to every day, even when those narratives are upsetting. Systematically examining media content allows us to identify recurring patterns in how marginalized populations are portrayed (e.g., who is blamed, who is left out, which harmful stereotypes are reinforced, etc.). Documenting and quantifying these patterns helps us build evidence to understand how media may be contributing to and upholding harmful social constructions. Without that evidence base, it’s difficult to develop effective counterstrategies or to imagine alternative narratives that might disrupt those patterns. Although the work can be emotionally taxing and laborious, I see it as valuable groundwork for change in that it helps us more clearly see one part of a much larger puzzle before trying to address it more broadly.</p>



<h5 class="wp-block-heading"><strong>Q: What advice do you have for other early career researchers who are interested in communication and health equity? What opportunities and challenges do you foresee for future research in this space?</strong></h5>



<p><strong>Muna: </strong>My advice and what I have learned from our COMMHSP work is to actively collaborate with community partners and communication practitioners from the start. This ensures that your research is relevant and can be translated into real-world action. I think a major opportunity is using digital media to challenge dominant narratives and center community voices. Conversely, a key challenge will be navigating the complex information ecosystem where misinformation can easily undermine evidence-based messages aimed at advancing equity.<br><strong>Yusra: </strong>There is a remarkable wealth of wisdom in this space — within journalism, academia, community organizing, and at their intersections. I have consistently found that everyone I have asked for support or mentorship has been willing, enthusiastic, and curious — whether that is political science faculty with rich knowledge about the journalistic landscape or communications organizers at local labor unions. I also find that more and more early-career researchers and graduate students are finding their research topic has something to do with communication, dominant narratives and counter-narratives; it is increasingly clear that no matter how much rigorous research we can get published to expand our academic understanding of housing deprivation, reproductive justice, food security, or otherwise, we often see an ever-growing uphill battle on the terrain of public discourse and public opinion. We are going to face immense challenges in the years ahead, but none of us are alone.</p>



<p><em>The University of Minnesota hub of COMM HSP has included the following early career researchers, staff, or students in the past year: Elizabeth Al, Marissa Evans, CeRon Ford, Chloe Gansen, Muna Hassan, Kristina Medero, Yusra Murad, Quin Mudry Nelson, Kene Orakwue, and Ben Weideman</em></p>



<p></p>



<p><em>This post was funded by the Robert Wood Johnson Foundation (Grant no. 79754). The views expressed here do not necessarily reflect the views of the foundation.</em></p>
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			</item>
		<item>
		<title>Public Opinion on Threats to Public Health and Science</title>
		<link>https://commhsp.org/public-opinion-on-threats-to-public-health-and-science/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=public-opinion-on-threats-to-public-health-and-science</link>
		
		<dc:creator><![CDATA[commhsp]]></dc:creator>
		<pubDate>Mon, 03 Nov 2025 18:08:54 +0000</pubDate>
				<category><![CDATA[hide]]></category>
		<guid isPermaLink="false">https://commhsp.org/?p=1602</guid>

					<description><![CDATA[Public Concern about Threats to Public Health and Science Remains Modest  Exhibit 1a: Any Reported Awareness of Key Actions Affecting Public Health and Science, by Partisanship (N=1,120) Since January 2025, have you heard anything about the following topics, whether from media sources and/or other people? Any reported awareness (March 2025) Any reported awareness (Sept 2025) [&#8230;]]]></description>
										<content:encoded><![CDATA[
<p></p>



<h5 class="wp-block-heading"><a href="https://www.milbank.org/quarterly/opinions/public-concern-about-threats-to-public-health-and-science-remains-modest/" target="_blank" rel="noreferrer noopener">Public Concern about Threats to Public Health and Science Remains Modest</a> </h5>



<span id="more-1602"></span>



<h5 class="wp-block-heading"><strong>Exhibit 1a: </strong>Any Reported Awareness of Key Actions Affecting Public Health and Science, by Partisanship (N=1,120)</h5>



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<tr>
<td style="text-align: left">Since January 2025, have you heard anything about the following topics, whether from media sources and/or other people?</td>
<td style="background-color: #EAECEC">Any reported awareness <br>(March 2025)</td>
<td style="background-color: #EAECEC">Any reported awareness <br>(Sept 2025)</td>
<td>Democrat</td>
<td>Independent</td>
<td>Republican</td>
<td><em>p</em></td>
</tr>

<tr>
<td style="text-align: left">Cutting the funds the federal government pays universities and other research institutions to help support overhead costs (known as “indirect costs”)</td>
<td style="background-color: #EAECEC">73.3%</td>
<td style="background-color: #EAECEC">61.2%</td>
<td>73.5%</td>
<td>50.1%</td>
<td>53.4%</td>
<td>.000</td>
</tr>


<tr>
<td style="text-align: left">Stopping ongoing collection of publicly available health and science data by the federal government <em>[In March: Removing]</em></td>
<td style="background-color: #EAECEC"><em>[58.8%]</em></td>
<td style="background-color: #EAECEC">39.5%</td>
<td>60.8%</td>
<td>22.3%</td>
<td>24.6%</td>
<td>.000</td>
</tr>

<tr>
<td style="text-align: left">Firing of scientists, health workers, and other civil servants </td>
<td style="background-color: #EAECEC">79.9%</td>
<td style="background-color: #EAECEC">63.4%</td>
<td>79.1%</td>
<td>45.9%</td>
<td>55.5%</td>
<td>.000</td>
</tr>

<tr>
<td style="text-align: left">Canceling of approved research grants on topics not aligned with presidential administration priorities</td>
<td style="background-color: #EAECEC">70.2%</td>
<td style="background-color: #EAECEC">54.7%</td>
<td>72.4%</td>
<td>36.2%</td>
<td>45.0%</td>
<td>.001</td>
</tr>

<tr>
<td style="text-align: left">Removing scientific experts from panels that make health recommendations (e.g., about vaccines, cancer screenings)</td>
<td style="background-color: #EAECEC">&#8212;</td>
<td style="background-color: #EAECEC">54.7%</td>
<td>71.7%</td>
<td>43.0%</td>
<td>41.5%</td>
<td>.000</td>
</tr>

<tr>
<td style="text-align: left">Proposing to cut the federal budget for scientific research</td>
<td style="background-color: #EAECEC">&#8212;</td>
<td style="background-color: #EAECEC">57.1%</td>
<td>74.0%</td>
<td>47.8%</td>
<td>42.7%</td>
<td>.000</td>
</tr>

<tr>
<td style="text-align: left">Increasing the federal government’s involvement in how universities in the United States/in your state operate*</td>
<td style="background-color: #EAECEC">&#8212;</td>
<td style="background-color: #EAECEC">53.9%</td>
<td>67.4%</td>
<td>43.1%</td>
<td>44.3%</td>
<td>.000</td>
</tr>

<tr>
<td style="text-align: left">Issuing federal vaccine recommendations that conflict with the recommendations of professional organizations (like the American Academy of Pediatrics)</td>
<td style="background-color: #EAECEC">&#8212;</td>
<td style="background-color: #EAECEC">52.5%</td>
<td>68.7%</td>
<td>36.0%</td>
<td>43.1%</td>
<td>.000</td>
</tr>

</table>
</div>



<p><em>Note</em>. “Media sources” were defined as “e.g., social media, print or online news, podcasts, radio, and television”; “other people” were defined as “e.g., family, friends, health care providers.” &lt;15 missing on any item. Items were randomly ordered.&nbsp;<em>P</em>&nbsp;values based on chi-square analyses. <sup>*</sup>Split ballot item, with no significant difference across groups in any reported awareness.</p>



<h5 class="wp-block-heading"><strong>Exhibit 1b: </strong>Recent Reported Awareness of Key Actions Affecting Public Health and Science</h5>



<div style="overflow-x:auto;">
<table class="table-rn">
<thead>
<tr>
<td style="text-align: left">Thinking only about the past few weeks, <em>how much</em> have you heard about the following topics from media sources and/or other people?</td>
<td>None </td>
<td>A little </td>
<td>Some </td>
<td>A lot </td>
<td><em>n</em></td>
</tr>
</thead>

<tr>
<td style="text-align: left">Cutting the funds the federal government pays universities and other research institutions to help support overhead costs (known as “indirect costs”) </td>
<td>16.4%</td>
<td>27.6%</td>
<td>35.0%</td>
<td>21.1%</td>
<td>714</td>
</tr>

<tr>
<td style="text-align: left">Stopping ongoing collection of publicly available health and science data by the federal government</td>
<td>10.0%</td>
<td>29.9%</td>
<td>32.8%</td>
<td>27.3%</td>
<td>464</td>
</tr>

<tr>
<td style="text-align: left">Firing of scientists, health workers, and other civil servants</td>
<td>9.2%</td>
<td>25.8%</td>
<td>31.1%</td>
<td>33.9%</td>
<td>755</td>
</tr>

<tr>
<td style="text-align: left">Canceling of approved research grants on topics not aligned with presidential administration priorities</td>
<td>11.9%</td>
<td>25.8%</td>
<td>32.7%</td>
<td>29.6%</td>
<td>657</td>
</tr>

<tr>
<td style="text-align: left">Removing scientific experts from panels that make health recommendations (e.g., about vaccines, cancer screenings)</td>
<td>9.2%</td>
<td>24.0%</td>
<td>31.5%</td>
<td>35.4%</td>
<td>642</td>
</tr>

<tr>
<td style="text-align: left">Proposing to cut the federal budget for scientific research</td>
<td>14.7%</td>
<td>25.4%</td>
<td>36.1%</td>
<td>23.9%</td>
<td>657</td>
</tr>

<tr>
<td style="text-align: left">Increasing the federal government’s involvement in how universities in the United States/in your state operate*</td>
<td>11.2%</td>
<td>30.6%</td>
<td>32.7%</td>
<td>25.4%</td>
<td>633</td>
</tr>

<tr>
<td style="text-align: left">Issuing federal vaccine recommendations that conflict with the recommendations of professional organizations (like the American Academy of Pediatrics)</td>
<td>6.2%</td>
<td>20.6%</td>
<td>30.3%</td>
<td>42.9%</td>
<td>636</td>
</tr>

</table>
</div>



<p><em>Note</em>. Question only asked of those who previously reported any awareness on the corresponding item (Exhibit 1a). Media sources” were defined as “e.g., social media, print or online news, podcasts, radio, and television”; “other people” were defined as “e.g., family, friends, health care providers.” Items were randomly ordered.&nbsp;<sup>*</sup>Split ballot item, with no significant difference across groups in frequency of awareness.</p>



<h5 class="wp-block-heading"><strong>Exhibit 2: </strong>Agreement with Positive and Negative Consequences of NIH Funding Cuts (N=1,120)</h5>



<div style="overflow-x:auto;">
<table class="table-rn">

<tr>
<td style="text-align: left">To what extent do you agree or disagree that funding cuts to NIH research grants will lead to…</td>
<td style="background-color: #EAECEC">Overall agreement (March 2025)</td>
<td style="background-color: #EAECEC">Overall agreement (Sept 2025)</td>
<td>Strongly disagree</td>
<td>Disagree</td>
<td>Neither agree nor disagree</td>
<td>Agree</td>
<td>Strongly agree</td>
</tr>

<tr>
<td colspan="8" style="text-align: left"><em>Negative impacts</em></td>
</tr>

<tr>
<td style="text-align: left">…layoffs and/or hiring freezes at universities and/or their hospitals?</td>
<td style="background-color: #EAECEC">51.2%</td>
<td style="background-color: #EAECEC">51.3%</td>
<td>6.1%</td>
<td>11.5%</td>
<td>31.1%</td>
<td>30.1%</td>
<td>21.1%</td>
</tr>

<tr>
<td style="text-align: left">…higher tuition costs for college students?</td>
<td style="background-color: #EAECEC">34.7%</td>
<td style="background-color: #EAECEC">37.4%</td>
<td>9.0%</td>
<td>13.9%</td>
<td>39.7%</td>
<td>22.1%</td>
<td>15.2%</td>
</tr>

<tr>
<td style="text-align: left">…fewer positions for health and science graduate students?</td>
<td style="background-color: #EAECEC">48.2%</td>
<td style="background-color: #EAECEC">50.5%</td>
<td>6.0%</td>
<td>9.6%</td>
<td>33.9%</td>
<td>30.1%</td>
<td>20.4%</td>
</tr>

<tr>
<td style="text-align: left">…fewer clinical trials for cancer patients?</td>
<td style="background-color: #EAECEC">50.2%</td>
<td style="background-color: #EAECEC">48.3%</td>
<td>7.5%</td>
<td>14.9%</td>
<td>29.2%</td>
<td>24.9%</td>
<td>23.4%</td>
</tr>

<tr>
<td style="text-align: left">…delays in the development of new medical treatments?</td>
<td style="background-color: #EAECEC">48.8%</td>
<td style="background-color: #EAECEC">50.1%</td>
<td>7.2%</td>
<td>12.0%</td>
<td>30.7%</td>
<td>24.9%</td>
<td>25.2%</td>
</tr>

<tr>
<td colspan="8" style="text-align: left"><em>Positive impacts</em></td>
</tr>

<tr>
<td style="text-align: left">…more streamlined operations at universities and/or their hospitals?</td>
<td style="background-color: #EAECEC">25.8%</td>
<td style="background-color: #EAECEC">24.4%</td>
<td>16.5%</td>
<td>17.3%</td>
<td>41.8%</td>
<td>19.5%</td>
<td>4.9%</td>
</tr>

<tr>
<td style="text-align: left">…greater efficiencies in how medical research is conducted?</td>
<td style="background-color: #EAECEC">24.0%</td>
<td style="background-color: #EAECEC">26.1%</td>
<td>21.0%</td>
<td>17.3%</td>
<td>35.6%</td>
<td>18.9%</td>
<td>7.2%</td>
</tr>

<tr>
<td style="text-align: left">…more money available to spend on patient care?</td>
<td style="background-color: #EAECEC">23.1%</td>
<td style="background-color: #EAECEC">22.0%</td>
<td>21.5%</td>
<td>21.7%</td>
<td>34.8%</td>
<td>17.1%</td>
<td>4.9%</td>
</tr>
</table>
</div>



<p><em>Note</em>. Overall agreement calculated by combining “agree” and “strongly agree” responses. “Don’t know” responses (&lt;10 on any item) collapsed into “neither agree nor disagree”; &lt;15 missing on any item. Items were randomly ordered and did not include the headers suggesting “positive” or “negative.”</p>



<h5 class="wp-block-heading"><strong>Exhibit 3: </strong>Opposition to Cutting Funding for Health and Science Research (N=1,120)</h5>



<div style="overflow-x:auto;">
<table class="table-rn">

<tr>
<td style="text-align: left">Please indicate how much you support or oppose cutting federal funding of research that…</td>
<td style="background-color: #EAECEC">Overall oppose cutting
<br>(Sept 2025)</td>
<td>Strongly oppose cutting</td>
<td>Somewhat oppose cutting</td>
<td>Neither support nor oppose</td>
<td>Somewhat support cutting</td>
<td>Strongly support cutting</td>
</tr>

<tr>
<td style="text-align: left">… provides the foundational knowledge about how the natural world works, which might lead to future discoveries about human health</td>
<td style="background-color: #EAECEC">40.6%</td>
<td>26.5%</td>
<td>14.1%</td>
<td>31.4%</td>
<td>17.0%</td>
<td>11.0%</td>
</tr>

<tr>
<td style="text-align: left">… develops and tests new medical treatments and therapies to improve human health</td>
<td style="background-color: #EAECEC">44.9%</td>
<td>31.7%</td>
<td>13.2%</td>
<td>24.0%</td>
<td>18.1%</td>
<td>13.0%</td>
</tr>

<tr>
<td style="text-align: left">… seeks to understand how people make decisions, including about their health</td>
<td style="background-color: #EAECEC">38.8%</td>
<td>23.5%</td>
<td>15.4%</td>
<td>34.6%</td>
<td>17.5%</td>
<td>9.0%</td>
</tr>

<tr>
<td style="text-align: left">… seeks to understand why some groups of people are healthier or sicker than others</td>
<td style="background-color: #EAECEC">39.8%</td>
<td>26.0%</td>
<td>13.8%</td>
<td>30.4%</td>
<td>19.7%</td>
<td>10.2%</td>
</tr>


</table>
</div>



<p><em>Note</em>. Overall oppose cutting calculated by combining “strongly oppose cutting” and “somewhat oppose cutting” responses. “Don’t know” responses (&lt;10 on any item) collapsed into “neither agree nor disagree”; &lt;10 missing on any item. Items were randomly ordered.</p>



<h5 class="wp-block-heading"><strong>Exhibit 4: </strong>Mobilization around Funding for Health and Science Research (N=1,120)</h5>



<div style="overflow-x:auto;">
<table class="table-rn">

<tr>
<td style="text-align: left">How likely are you to do the following activities in the next few months?</td>
<td style="background-color: #EAECEC">Overall likelihood*
<br>(Sept 2025)</td>
<td>Very unlikely</td>
<td>Unlikely</td>
<td>Neither likely <br>nor unlikely</td>
<td>Likely</td>
<td>Very likely</td>
</tr>

<tr>
<td style="text-align: left">Contact elected officials to urge them to take action to support federal funding for health and science research</td>
<td style="background-color: #EAECEC">20.3%</td>
<td>29.2%</td>
<td>20.7%</td>
<td>29.9%</td>
<td>12.1%</td>
<td>8.2%</td>
</tr>

<tr>
<td style="text-align: left">Sign a petition to support federal funding for health and science research</td>
<td style="background-color: #EAECEC">35.3%</td>
<td>22.7%</td>
<td>14.1%</td>
<td>28.0%</td>
<td>22.5%</td>
<td>12.8%</td>
</tr>

<tr>
<td style="text-align: left">Attend a rally to support federal funding for health and science research</td>
<td style="background-color: #EAECEC">14.2%</td>
<td>35.1%</td>
<td>20.0%</td>
<td>30.7%</td>
<td>8.2%</td>
<td>6.0%</td>
</tr>

<tr>
<td style="text-align: left">Try to raise awareness among people you know about cuts to federal funding for health and science research</td>
<td style="background-color: #EAECEC">24.6%</td>
<td>25.4%</td>
<td>17.8%</td>
<td>32.3%</td>
<td>14.8%</td>
<td>9.7%</td>
</tr>

</table>
</div>



<p><em>Note</em>. Overall likelihood calculated by combining “likely” and “very likely” responses. “Don’t know” responses (&lt;5 on any item) collapsed into “neither agree nor disagree”; &lt;15 missing on any item. Items were randomly ordered.</p>



<h5 class="wp-block-heading"><strong>Exhibit 5: Personal experience with interruptions or difficulties accessing services or information, by partisanship (N=1,120)</strong></h5>



<div style="overflow-x:auto;">
<table class="table-rn">

<tr>
<td style="text-align: left">Have you or someone you know (e.g., family <br>member, friend) experienced…</td>
<td style="background-color: #EAECEC">Overall 
<br>(Sept 2025)</td>
<td>Democrat</td>
<td>Independent</td>
<td>Republican</td>
<td><em>p</em></td>
</tr>

<tr>
<td colspan="5" style="text-align: left">Interruption or stopping of medical treatment provided through a clinical trial</td>
<td rowspan="4">.134</td>
</tr>

<tr>
<td style="text-align: left">No</td>
<td style="background-color: #EAECEC">81.3%</td>
<td>79.0%</td>
<td>76.7%</td>
<td>87.2%</td>

</tr>

<tr>
<td style="text-align: left">Yes</td>
<td style="background-color: #EAECEC">7.3%</td>
<td>9.3%</td>
<td>8.2%</td>
<td>4.3%</td>
</tr>

<tr>
<td style="text-align: left">I don’t know</td>
<td style="background-color: #EAECEC">11.3%</td>
<td>11.7%</td>
<td>15.1%</td>
<td>8.6%</td>
</tr>

<tr>
<td colspan="5" style="text-align: left">Difficulty accessing seasonal vaccines (e.g., for flu, RSV)</td>
<td rowspan="4">.011</td>
</tr>

<tr>
<td style="text-align: left">No</td>
<td style="background-color: #EAECEC">81.5%</td>
<td>78.8%</td>
<td>77.0%</td>
<td>87.7%</td>
</tr>

<tr>
<td style="text-align: left">Yes</td>
<td style="background-color: #EAECEC">6.7%</td>
<td>9.9%</td>
<td>5.8%</td>
<td>3.2%</td>
</tr>

<tr>
<td style="text-align: left">I don’t know</td>
<td style="background-color: #EAECEC">11.8%</td>
<td>11.3%</td>
<td>17.2%</td>
<td>9.1%</td>
</tr>

<tr>
<td colspan="5" style="text-align: left">Difficulty accessing COVID-19 vaccines</td>
<td rowspan="4">.000</td>
</tr>


<tr>
<td style="text-align: left">No</td>
<td style="background-color: #EAECEC">76.5%</td>
<td>71.2%</td>
<td>72.8%</td>
<td>85.0%</td>
</tr>

<tr>
<td style="text-align: left">Yes</td>
<td style="background-color: #EAECEC">10.1%</td>
<td>17.2%</td>
<td>6.8%</td>
<td>3.7%</td>
</tr>

<tr>
<td style="text-align: left">I don’t know</td>
<td style="background-color: #EAECEC">13.4%</td>
<td>11.6%</td>
<td>20.4%</td>
<td>11.3%</td>
</tr>

<tr>
<td colspan="5" style="text-align: left">Difficulty accessing health or science information (e.g., about vaccine recommendations, weather events)</td>
<td rowspan="4">.001</td>
</tr>

<tr>
<td style="text-align: left">No</td>
<td style="background-color: #EAECEC">74.7%</td>
<td>70.1%</td>
<td>70.5%</td>
<td>82.9%</td>
</tr>


<tr>
<td style="text-align: left">Yes</td>
<td style="background-color: #EAECEC">11.8%</td>
<td>18.1%</td>
<td>10.8%</td>
<td>4.8%</td>
</tr>


<tr>
<td style="text-align: left">I don’t know</td>
<td style="background-color: #EAECEC">13.5%</td>
<td>11.8%</td>
<td>18.7%</td>
<td>12.4%</td>
</tr>

</table>
</div>



<p><em>Note</em>. &lt;10 missing on any item. Items were randomly ordered.&nbsp;<em>P</em>&nbsp;values based on chi-square analyses.</p>



<h5 class="wp-block-heading"><strong>Exhibit 6: Personal experience with firings, layoffs, and/or departures, by partisanship (N=1,120)</strong></h5>



<div style="overflow-x:auto;">
<table class="table-rn">

<tr>
<td style="text-align: left">Have you or someone you know (e.g., family member, friend) <br>been personally affected by the recent firings, layoffs, <br>and/or departures of…</td>
<td style="background-color: #EAECEC">Overall
<br>(March 2025)</td>
<td style="background-color: #EAECEC">Overall 
<br>(Sept 2025)</td>
<td>Democrat</td>
<td>Independent</td>
<td>Republican</td>
<td><em>p</em></td>
</tr>

<tr>
<td colspan="6"  style="text-align: left">…federal government workers</td>
<td rowspan="4">.002</td>
</tr>

<tr>
<td style="text-align: left">No</td>
<td style="background-color: #EAECEC">69.3%</td>
<td style="background-color: #EAECEC">72.5%</td>
<td>68.0%</td>
<td>66.8%</td>
<td>81.5%</td>
</tr>

<tr>
<td style="text-align: left">Yes</td>
<td style="background-color: #EAECEC">18.0%</td>
<td style="background-color: #EAECEC">17.5%</td>
<td>22.8%</td>
<td>16.9%</td>
<td>11.3%</td>
</tr>

<tr>
<td style="text-align: left">I don’t know</td>
<td style="background-color: #EAECEC">12.8%</td>
<td style="background-color: #EAECEC">10.1%</td>
<td>9.2%</td>
<td>16.3%</td>
<td>7.2%</td>
</tr>

<tr>
<td colspan="6" style="text-align: left">…state or local government workers</td>
<td rowspan="4">.000</td>
</tr>

<tr>
<td style="text-align: left">No</td>
<td style="background-color: #EAECEC">&#8212;</td>
<td style="background-color: #EAECEC">77.3%</td>
<td>73.6%</td>
<td>70.5%</td>
<td>86.1%</td>
</tr>

<tr>
<td style="text-align: left">Yes</td>
<td style="background-color: #EAECEC">&#8212;</td>
<td style="background-color: #EAECEC">12.1%</td>
<td>17.5%</td>
<td>10.6%</td>
<td>6.5%</td>
</tr>

<tr>
<td style="text-align: left">I don’t know</td>
<td style="background-color: #EAECEC">&#8212;</td>
<td style="background-color: #EAECEC">10.6%</td>
<td>8.9%</td>
<td>18.9%</td>
<td>7.3%</td>
</tr>

<tr>
<td colspan="6" style="text-align: left">…workers at universities and/or their hospitals</td>
<td rowspan="4">.000</td>
</tr>


<tr>
<td style="text-align: left">No</td>
<td style="background-color: #EAECEC">&#8212;</td>
<td style="background-color: #EAECEC">75.8%</td>
<td>72.7%</td>
<td>65.3%</td>
<td>86.4%</td>
</tr>

<tr>
<td style="text-align: left">Yes</td>
<td style="background-color: #EAECEC">&#8212;</td>
<td style="background-color: #EAECEC">13.7%</td>
<td>17.8%</td>
<td>17.8%</td>
<td>6.2%</td>
</tr>

<tr>
<td style="text-align: left">I don’t know</td>
<td style="background-color: #EAECEC">&#8212;</td>
<td style="background-color: #EAECEC">10.5%</td>
<td>9.5%</td>
<td>17.0%</td>
<td>7.5%</td>
</tr>

<tr>
<td colspan="6" style="text-align: left">…workers at non-governmental (non-profit) organizations</td>
<td rowspan="4">.001</td>
</tr>

<tr>
<td style="text-align: left">No</td>
<td style="background-color: #EAECEC">&#8212;</td>
<td style="background-color: #EAECEC">73.0%</td>
<td>68.1%</td>
<td>66.7%</td>
<td>83.1%</td>
</tr>

<tr>
<td style="text-align: left">Yes</td>
<td style="background-color: #EAECEC">&#8212;</td>
<td style="background-color: #EAECEC">15.5%</td>
<td>21.1%</td>
<td>14.5%</td>
<td>9.2%</td>
</tr>

<tr>
<td style="text-align: left">I don’t know</td>
<td style="background-color: #EAECEC">&#8212;</td>
<td style="background-color: #EAECEC">11.5%</td>
<td>10.8%</td>
<td>18.8%</td>
<td>7.7%</td>
</tr>




</table>
</div>



<p><em>Note</em>. &lt;15 missing on any item. Items were randomly ordered.&nbsp;<em>P</em>&nbsp;values based on chi-square analyses.</p>
]]></content:encoded>
					
		
		
			</item>
		<item>
		<title>How do U.S. Media Cover Native American People? Preliminary Findings from an Analysis of 2024 U.S. Local TV News</title>
		<link>https://commhsp.org/when-does-u-s-media-cover-native-american-people-preliminary-findings-from-an-analysis-of-2024-u-s-local-tv-news/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=when-does-u-s-media-cover-native-american-people-preliminary-findings-from-an-analysis-of-2024-u-s-local-tv-news</link>
		
		<dc:creator><![CDATA[commhsp]]></dc:creator>
		<pubDate>Wed, 22 Oct 2025 17:18:54 +0000</pubDate>
				<category><![CDATA[Uncategorized]]></category>
		<guid isPermaLink="false">https://commhsp.org/?p=1590</guid>

					<description><![CDATA[By Quin Mudry-Nelson When over 5,500 non-Native survey respondents were asked to recall depictions of Native Americans they had seen or heard about in film and television, they had little to say. In other words, researchers found that both well-known living and deceased Native American people escape the general public’s memory. What are the consequences [&#8230;]]]></description>
										<content:encoded><![CDATA[
<p><em>By Quin Mudry-Nelson</em></p>



<p>When <a href="https://www.tandfonline.com/doi/full/10.1080/03623319.2021.1975086" target="_blank" rel="noreferrer noopener">over 5,500 non-Native survey respondents</a> were asked to recall depictions of Native Americans they had seen or heard about in film and television, they had little to say. In other words, researchers found that both well-known living and deceased Native American people escape the general public’s memory.</p>



<span id="more-1590"></span>



<p>What are the consequences of such findings for Native American people—what does it mean when the society around them has little recollection of their continued existence? Analysis of representation in the news media is an important step in answering this critical question. Local TV news is an essential media type to explore for Native American depictions, given it is <a href="https://www.pewresearch.org/journalism/fact-sheet/news-platform-fact-sheet/" target="_blank" rel="noreferrer noopener">relatively highly trusted</a> and covers issues in a local community context. Given the prevalence of Native residents varies across geographic areas, non-Natives may see different depictions of Native Americans depending on where they live.<br></p>



<p>In our <a href="https://commhsp.org/a-practitioner-grounded-research-agenda-on-communication-and-health-equity/" target="_blank" rel="noreferrer noopener">2024 report</a> synthesizing research questions from health communicators, some participants asked why reporting on minoritized groups such as Native Americans is rare, and when they are in the news, the topics are often negative. With this question as our motivation, our team initiated the Native American Communication Project: an exploratory study that aims to investigate trends and patterns of attention to Native Americans in local TV news to understand where and when Native people are visible in local TV news, and what topics are discussed alongside them.&nbsp;</p>



<p>Our pilot study analyzed closed captions snippets from evening local TV news broadcasts from ABC, NBC, CBS, and Fox affiliated stations across the United States that aired between 01/01/2024 and 12/31/2024. We focused on evening local TV news for the pilot, knowing that this form of media is still a broadly trusted and frequently viewed source of news and information.</p>



<p>Our preliminary results revealed three important findings:&nbsp;</p>



<p>1) Native Americans receive the most news coverage in October and November. We attribute this to the U.S. federally-recognized holiday of Indigenous People’s Day which occurs on the second Monday of October, as well as November being American Indian Heritage Month.</p>



<figure class="wp-block-image size-large"><img fetchpriority="high" decoding="async" width="1024" height="619" src="https://commhsp.org/wp-content/uploads/2025/10/figure1_102225-1024x619.png" alt="" class="wp-image-1591" srcset="https://commhsp.org/wp-content/uploads/2025/10/figure1_102225-1024x619.png 1024w, https://commhsp.org/wp-content/uploads/2025/10/figure1_102225-300x181.png 300w, https://commhsp.org/wp-content/uploads/2025/10/figure1_102225-768x464.png 768w, https://commhsp.org/wp-content/uploads/2025/10/figure1_102225-1536x929.png 1536w, https://commhsp.org/wp-content/uploads/2025/10/figure1_102225.png 1999w" sizes="(max-width: 1024px) 100vw, 1024px" /></figure>



<p>2) More attention is given to people in the Western region of the country clustered around large and well-known Native American tribal reservations while there is minimal coverage in the Midwest, Northeast, and Southern regions of the country, even near tribal lands.</p>



<h4 class="wp-block-heading"><strong>MENTIONS OF NATIVE AMERICAN BY MEDIA MARKET IN U.S. EVENING LOCAL TV NEWS COVERAGE (2024)</strong></h4>



<figure class="wp-block-image size-large"><img decoding="async" width="1024" height="428" src="https://commhsp.org/wp-content/uploads/2025/10/figure2_102225-1024x428.png" alt="" class="wp-image-1592" srcset="https://commhsp.org/wp-content/uploads/2025/10/figure2_102225-1024x428.png 1024w, https://commhsp.org/wp-content/uploads/2025/10/figure2_102225-300x125.png 300w, https://commhsp.org/wp-content/uploads/2025/10/figure2_102225-768x321.png 768w, https://commhsp.org/wp-content/uploads/2025/10/figure2_102225-1536x642.png 1536w, https://commhsp.org/wp-content/uploads/2025/10/figure2_102225.png 1999w" sizes="(max-width: 1024px) 100vw, 1024px" /><figcaption class="wp-element-caption">Teal boundaries: Federally-recognized tribal reservation lands.</figcaption></figure>



<p>3) The most frequently co-occurring topic mentioned alongside Native Americans was Celebrations &amp; Cultural Identity, which included words referencing positive-leaning celebrations and cultural depictions such as “powwow”, “ceremony”, “community”, “language”, and “tradition”. The second most mentioned topic was Pop Culture &amp; Entertainment, which included any mentions of film, TV, art, cuisine, and fashion. Thirdly, we found Native-past keywords (such as “history”, “museum”, “artifact”, “old”, “ancestor”, and “primitive”), were more common than Native-contemporary keywords (such as “today”, “present”, “progress”, “plan”, and “modern”). This finding demonstrates how Native American portrayals in the news center narratives about the past, rather than news stories grounding Native communities in the present and sharing progress or plans for the future.</p>



<p>Our pilot results reflect the beginning of a much larger ongoing project investigating representation of Native American people in U.S. media and the consequences of that representation. We look forward to sharing more about our findings in future posts.&nbsp;</p>



<figure class="wp-block-image size-large"><img decoding="async" width="1024" height="607" src="https://commhsp.org/wp-content/uploads/2025/10/figure3_102225-1024x607.png" alt="" class="wp-image-1593" srcset="https://commhsp.org/wp-content/uploads/2025/10/figure3_102225-1024x607.png 1024w, https://commhsp.org/wp-content/uploads/2025/10/figure3_102225-300x178.png 300w, https://commhsp.org/wp-content/uploads/2025/10/figure3_102225-768x456.png 768w, https://commhsp.org/wp-content/uploads/2025/10/figure3_102225-1536x911.png 1536w, https://commhsp.org/wp-content/uploads/2025/10/figure3_102225.png 1829w" sizes="(max-width: 1024px) 100vw, 1024px" /></figure>



<p><em>Special thanks to the members of the Native American Communication project team: </em>Sarah Gollust, Neil Lewis Jr, Erika Franklin Fowler, Kari Waters, and Breeze Floyd for their help and guidance on this work.</p>



<p><strong>Read more related work from the COMM team:</strong></p>



<ul class="wp-block-list">
<li><a href="https://commhsp.org/an-update-on-attention-to-racism-and-counter-messaging-in-2025/" target="_blank" rel="noreferrer noopener">An Update on Attention to Local TV News Racism &amp; Counter-messaging</a></li>



<li><a href="https://commhsp.org/strategies-and-challenges-for-public-health-communicators/" target="_blank" rel="noreferrer noopener">Strategies and Challenges for Public Health Communicators</a></li>



<li><a href="https://commhsp.org/racism-as-a-public-health-crisis/" target="_blank" rel="noreferrer noopener">How declarations of racism as a public health crisis</a> were geospatially distributed across the U.S.</li>



<li>How <a href="https://commhsp.org/what-role-did-local-news-play-in-the-controversy-about-masks/" target="_blank" rel="noreferrer noopener">local TV news covered controversy surrounding masks</a> during the COVID-19 pandemic</li>
</ul>



<p></p>



<p></p>



<p><em>This post was funded by the Robert Wood Johnson Foundation (Grant no. 79754). The views expressed here do not necessarily reflect the views of the foundation.</em></p>
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		<title>Federal Communication About the COVID-19 Vaccine: Missed Opportunities to Counter Health Skepticism </title>
		<link>https://commhsp.org/federal-communication-about-the-covid-19-vaccine-missed-opportunities-to-counter-health-skepticism/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=federal-communication-about-the-covid-19-vaccine-missed-opportunities-to-counter-health-skepticism</link>
		
		<dc:creator><![CDATA[commhsp]]></dc:creator>
		<pubDate>Fri, 12 Sep 2025 12:40:42 +0000</pubDate>
				<category><![CDATA[Uncategorized]]></category>
		<guid isPermaLink="false">https://commhsp.org/?p=1585</guid>

					<description><![CDATA[By Margaret Tait COVID-19 cases continue to impact our communities while public attitudes about the vaccine to protect against COVID remain mixed. This is due in part to shifting guidance from the federal government about vaccine eligibility and rising levels of health skepticism, or mistrust or doubt in the ability of medical care and related [&#8230;]]]></description>
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<p><em>By Margaret Tait</em></p>



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<p><a href="https://www.nytimes.com/interactive/2021/us/covid-cases.html">COVID-19 cases continue to impact our communities</a> while <a href="https://www.ipsos.com/en-us/axios-ipsos-american-health-index" target="_blank" rel="noreferrer noopener">public attitudes about the vaccine to protect against COVID remain mixed</a>. This is due in part to <a href="https://www.pbs.org/newshour/health/can-you-get-a-covid-shot-heres-your-fall-vaccine-guide" target="_blank" rel="noreferrer noopener">shifting guidance from the federal government about vaccine eligibility</a> and <a href="https://www.kff.org/health-information-trust/poll-trust-in-public-health-agencies-and-vaccines-falls-amid-republican-skepticism/" target="_blank" rel="noreferrer noopener">rising levels of health skepticism</a>, or mistrust or doubt in the ability of medical care and related institutions to improve health. Public health leaders, researchers and communicators face urgent questions of what can be done to mitigate health skepticism, as well as what <em>could </em>have been done to prevent this rise.</p>



<p>In 2021, members of our team <a href="https://www.sciencedirect.com/science/article/pii/S2211335522002789" target="_blank" rel="noreferrer noopener">conducted a content analysis</a> of federally-sponsored public service announcements (PSAs) about COVID-19. Our goals were to understand the messages that were used to stop the spread of COVID-19 and to see what, if any, appeals were used to highlight the potential with the vaccine. There were no PSAs in our sample of content that aired from mid-March &#8211; mid-December of 2020 that mentioned the vaccine. To our team, this was the first missed opportunity to convey information about the vaccine that may promote trust in its efficacy and encourage uptake. In effect, sharing content about the vaccine <em>ahead </em>of its release could have mitigated health skepticism.&nbsp;</p>



<p>Building on what we learned &#8211; and inspired by what we had yet to observe in federally-sponsored PSAs&nbsp; &#8211; we completed a separate analysis of the period immediately following, to include federally-sponsored PSAs aired from mid-December through the end of June 2021. <a href="https://www.sciencedirect.com/science/article/pii/S2211335525002323" target="_blank" rel="noreferrer noopener">This work</a> was just published in<em> Preventive Medicine Reports</em>. We focused on explicit appeals to get vaccinated, broadly conceptualized to include any message that may be perceived as direct encouragement to get vaccinated, such as a message to “get the shot”. Additionally, we analyzed PSAs for additional content about the vaccine, including that it was free and safe and effective. Fewer than twenty percent (17.1%) of PSAs in our sample included messages encouraging vaccination and just over a quarter (25.5%) included messages about the safety or effectiveness of the vaccine. Considering the potential for federally-sponsored content to promote trust in and encourage uptake of the vaccine, these findings were disappointing.&nbsp;</p>



<p>Our efforts also contributed key insights worth sharing with public health researchers and practitioners invested in health equity. The first underscores the importance of local messengers and messages: absent key content about the vaccine in federally-sponsored guidance, local public health organizations have a key role relaying critical public health information. And second, while these results may explain in part why attitudes about the vaccine are mixed and health skepticism is on the rise, they also implore us to continue to consider available media and messaging and identify effective strategies for reducing the deleterious effects of health skepticism.&nbsp;</p>



<p><strong>Read more related work from the COMM team:</strong></p>



<ul class="wp-block-list">
<li><a href="https://commhsp.org/covid-19-psas-on-tv-in-2020-were-associated-with-the-political-orientation-of-communities-in-which-they-aired/">Analysis of COVID-19 PSA airings in 2020</a> and their association with communities political orientation</li>



<li><a href="https://commhsp.org/partisan-differences-in-perceptions-of-health-disparities-in-covid-19/">Data on partisan differences</a> in public perceptions of disparities in COVID-19</li>



<li>Insights into <a href="https://commhsp.org/public-attitudes-about-the-end-of-the-public-health-emergency-framing-the-consequences/">public sentiment</a> at the end of the COVID-19 Public Health Emergency</li>



<li>A study on <a href="https://commhsp.org/what-role-did-local-news-play-in-the-controversy-about-masks/">local TV news coverage of controversy over masks</a> during COVID-19&nbsp;</li>
</ul>



<p><em>This post was funded by the Robert Wood Johnson Foundation (Grant no. 79754). The views expressed here do not necessarily reflect the views of the foundation.</em></p>



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		<title>Changing public health narratives is possible with the right infrastructure: A conversation with social scientist Sarah Gollust</title>
		<link>https://commhsp.org/changing-public-health-narratives-is-possible-with-the-right-infrastructure-a-conversation-with-social-scientist-sarah-gollust/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=changing-public-health-narratives-is-possible-with-the-right-infrastructure-a-conversation-with-social-scientist-sarah-gollust</link>
		
		<dc:creator><![CDATA[commhsp]]></dc:creator>
		<pubDate>Thu, 11 Sep 2025 15:17:32 +0000</pubDate>
				<category><![CDATA[Uncategorized]]></category>
		<guid isPermaLink="false">https://commhsp.org/?p=1569</guid>

					<description><![CDATA[This blog post was originally published on the BMSG website. What makes some health policies feel controversial while others are embraced as common sense? It’s not the data — it’s the narrative. Strong public health narratives are why people today overwhelmingly accept drunk-driving laws or tobacco regulations that keep airplanes, restaurants, and other common spaces [&#8230;]]]></description>
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<p><em>This blog post was originally published on the <a href="https://www.bmsg.org/changing-public-health-narratives-is-possible-with-the-right-infrastructure-a-conversation-with-social-scientist-sarah-gollust/" target="_blank" rel="noreferrer noopener">BMSG website</a>.</em></p>



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<p>What makes some health policies feel controversial while others are embraced as common sense? It’s not the data — it’s the narrative. Strong public health narratives are why people today overwhelmingly accept drunk-driving laws or tobacco regulations that keep airplanes, restaurants, and other common spaces smoke-free. But those policies — and the narratives surrounding them — were not always popular. It took decades of advocacy and coordinated efforts across institutions and sectors to shift people’s beliefs about health from one of personal choice to one of shared responsibility. Now, the freedom to travel safely and breathe clean air is the norm.&nbsp;</p>



<p>We can similarly change the narrative around other public health issues like racial equity, health care access, and housing security by applying lessons from previous public health battles and working strategically to create strong coalitions across institutions, organizations, and media. This form of power is known as narrative infrastructure, and it’s the basis for a recent <a href="https://onlinelibrary.wiley.com/doi/10.1111/1468-0009.70047">perspective</a> by BMSG Director Lori Dorfman and co-authors Sarah Gollust, Makani Thema, Pritpal S. Tamber, and Anthony Iton. The perspective, published last month in <em>Milbank Quarterly</em>, discusses how tactics from community organizing can help shift the public’s values and beliefs to better support policies that improve health.&nbsp;</p>



<p>To learn more about narrative power and why public health needs an infrastructure to build it, I sat down with Gollust, Professor of Health Policy and Management at the University of Minnesota School of Public Health.</p>



<h3 class="wp-block-heading"><strong>Q&amp;A</strong></h3>



<p><em>Responses have been lightly edited for length and clarity.</em></p>



<h4 class="wp-block-heading">Could you tell me a little bit about what you do, your background, and what brought you to this work?</h4>



<div class="wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex">
<div class="wp-block-column is-layout-flow wp-block-column-is-layout-flow" style="flex-basis:16%">
<figure class="wp-block-image size-full"><img loading="lazy" decoding="async" width="370" height="500" src="https://commhsp.org/wp-content/uploads/2025/09/gollust-headshot-bw-copy.png" alt="" class="wp-image-1573" srcset="https://commhsp.org/wp-content/uploads/2025/09/gollust-headshot-bw-copy.png 370w, https://commhsp.org/wp-content/uploads/2025/09/gollust-headshot-bw-copy-222x300.png 222w" sizes="(max-width: 370px) 100vw, 370px" /><figcaption class="wp-element-caption"><em>Sarah Gollust</em>, <em>co-director of the <a href="https://commhsp.org/">Collaborative on Media and Messaging for Health and Social Policy</a> and Professor of Health Policy and Management at the University of Minnesota School of Public Health</em></figcaption></figure>
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<div class="wp-block-column is-layout-flow wp-block-column-is-layout-flow" style="flex-basis:66.66%">
<p>The predominant role I have in research is as one of the co-directors of the <a href="https://commhsp.org/">Collaborative on Media and Messaging for Health and Social Policy</a>, an interdisciplinary research group based at the University of Minnesota, Wesleyan University, and Cornell University, which seeks to do responsive communication research around health equity and social policy. That’s been a major part of my research over the last three years, although I’ve been researching the intersection of health communication and health policy for well over 15 years.&nbsp;</p>



<p>My academic training is in health policy, but communication has long been a core interest of mine — specifically, understanding the role of communication in shaping health policy and politics. I’ve always been really interested in understanding how messages in the media shape the public’s attitudes about health policy, and, consequently, how the public’s opinion shapes political possibilities for systems and policy change. In my academic training, I’ve been really steeped in the fields of health policy and health communication, and the subfield of political communication within political science. I’m a relative newcomer to community organizing — that’s really where the ideas of narrative power that shaped this article come from. I recently became engaged in learning about community organizing as a field of practice when I started attending organizing trainings. I then started a partnership with <a href="https://centerforhealthprogress.org/">Center for Health Progress</a>, a community organizing nonprofit in Colorado, to do a community-based participatory research project with them. It was then, through my own education and training, and this research partnership, that I became much more open to the ideas from community organizing — particularly, how the ideas of power and narrative that stem from community organizing practice, rather than traditional academic health communication, can provide a really important complementary understanding of how communication shapes politics.</p>
</div>
</div>



<h4 class="wp-block-heading">The perspective emphasizes the importance of narrative power. Can you explain what that means in the context of public health? How is narrative power different from a strong message?</h4>



<p>Narrative power is the idea that those who hold sway over the stories we tell about how the world works hold power. For example, the idea that we’re personally responsible for our health or that we deserve health care when we work hard are the narratives that we call dominant narratives. Dominant narratives are a form of power because they shape what policies and politics are possible.&nbsp;</p>



<p>As a concrete example, we know that in 2025, work requirements for Medicaid have been passed at the federal level. One of the reasons that the policy is politically possible and viewed as common sense is because of the widespread dominant narrative that links health care with hard work and deservingness. Without that narrative, it might not make sense to condition health insurance on work. This deep-seated narrative about what it means to be hardworking — and that when you’re hardworking, you deserve what comes to you — allows that policy to exist.&nbsp;</p>



<p>The reason it’s different from a powerful message or persuasive message is because these fundamental narratives about deservingness are held up across so many different areas in society: In law, in schools, in popular culture, in the news media, in political speech. While we definitely need all the persuasive messages we can to shift public understanding about health and health care — those are necessary — they’re not sufficient to change the overall big picture, the big narrative about how we understand health and wellbeing.&nbsp;</p>



<h4 class="wp-block-heading">You and your co-authors argue that public health needs something called narrative infrastructure. What does this infrastructure entail, and how does it support movement-building?</h4>



<p>If we’re to make narratives that support health equity the common-sense narratives, then these stories have to be sustained across many different arenas of meaning-making — not just within a narrow public health understanding. In the paper, we define narrative infrastructure as the set of institutions, actors, organizational networks, and systems of cultural meaning-making that build and maintain the narratives that we use to make sense of the world. So it’s really, really broad. Thinking about changing narratives and changing policies and systems requires us to think really big and think beyond public health as one sector. One thing I really enjoyed about working on this article was learning more about Lori’s extensive experience in tobacco control that informed our understanding of narrative power and narrative infrastructure. One of the key messages of the article is that changing narratives is absolutely possible when you have the right infrastructure in place.</p>



<p>If we think back to the middle of the 20th century, the dominant narrative about smoking tobacco was that it was a choice. It was even fashionable; it was normative. Everyone did it. By the end of the 20th century, the dominant narrative of smoking became that it is a health hazard. It is bad for you, and government and society all have responsibilities to address smoking and reduce the prevalence of smoking. It was a light-bulb moment while working on this paper to realize that the shift of the dominant narrative of smoking as a personal choice to one of a collective health hazard was a really, really giant narrative shift. We take it for granted now, and that is the point of narrative power: When an idea becomes this sort of common-sense, unquestioned thing, like tobacco being a health hazard, that signifies that a narrative shift has happened. And it wasn’t an accident. It happened because of a lot of synergistic work across various sectors of society.&nbsp;</p>



<h4 class="wp-block-heading">How, exactly, did this narrative change happen, and what can we learn from efforts to shift mindsets on smoking cessation and the tobacco industry?</h4>



<p>What we can learn from that history is to remember all the different inputs and all the different components that had to be aligned for this shift to happen. We itemized them in the paper. The body of scientific research documenting the health harms of smoking and the harms of secondhand and thirdhand smoke was very important. Then, there was money. So much money was invested into funding that science in the federal NIH budget, and public dollars were collected through excise taxes on cigarettes. There were huge investments by philanthropy, and charitable and advocacy organizations like the American Cancer Society or the American Heart Association. There was litigation and regulation, like marketing restrictions, taxes on cigarettes, clean indoor laws, no-smoking sections, and then, finally, no smoking indoors generally, which created this huge societal shift.&nbsp;</p>



<p>There was organizing to build that legal infrastructure and then diffuse it across states. Relationships, coalitions, and networks were built and sustained to do this advocacy and education. As a health communication scholar, I would have first thought about public service announcements. That traditional public health communication played a role, but there was also all of this other infrastructure. Within the communication space, there were working strategic relationships with Hollywood to change how pop culture depicted smoking. All of these things add up to show how society began to and, ultimately, did change the meaning of smoking. The case reinforces that it wasn’t just a compelling message; it wasn’t just saying that smoking is bad for health, it was this aggregation and coordination across different components of the narrative infrastructure that ultimately made the difference.&nbsp;</p>



<h4 class="wp-block-heading">The perspective notes that narrative change is necessary to address other public health issues like structural racism. Isn’t it more complicated to address problematic narratives surrounding racism than those surrounding a specific product?<br></h4>



<p>It’s absolutely more complicated to address narratives about structural racism, in part because the dominant narrative that needs to change&nbsp; — the idea of a racial hierarchy — is even more deeply, historically entrenched in the fabric of U.S. history and society. So, like tobacco control, the idea that racism is a hazard to health has to confront the idea that health is mainly an issue of personal responsibility, but that’s just one aspect of it. The narrative of structural racism linked to health tells us that health is the consequence not only of personal choices, but also of the structures and environments that often advantage some people and disadvantage others because of their race. The narrative of racism as a public health crisis began to emerge with a lot of momentum in 2020, during the uprisings for racial justice, and offers lessons that we document in the paper about how this emergent narrative infrastructure could be sustained.&nbsp;</p>



<p>In the paper, we discuss how, during COVID-19, it was really clear how environments shape health. People’s occupations and living circumstances directly affected who was more likely to get sick and die in the early days of COVID and who was less vulnerable to infection and death. During this time, health departments, county governments, states, and cities constructed this narrative of health as a consequence of racism through more than 260 declarations that racism is a public health crisis. That was an emergent narrative seed linking structural racism to health. During this time, as we document in the article, we saw a whole host of new coalitions and partners that came together. There were new funding mechanisms to put the spotlight on structural racism and health in both public and private dollars and private philanthropy dollars. There was — and still is —&nbsp;an enormous amount of research being produced identifying the mechanisms through which structural racism harms health.&nbsp;</p>



<p>We saw attention to these issues in health agencies, in private corporations, and in our public health schools, where attention to racism became commonplace in courses like the ones that I teach. This is the start of building narrative infrastructure. Unfortunately, this momentum is really threatened by political backlash to these ideas. But, as we say in the article, these narrative seeds were planted across all different sectors with the strategic focus on racism as a public health crisis in 2020 and 2021.&nbsp;</p>



<h4 class="wp-block-heading">Are there emerging examples of narrative work happening to shift people’s understanding of racism?</h4>



<p>The structural racism story is about <a href="https://pacificpublichealth.ca/resources/upstream-101-decoding-public-health/">going upstream</a>. We must think about the upstream causes of so many of our health, public health, and health care issues, which stem from who has access to power, who has power, and who doesn’t have power. This work is happening in lots of different sectors, for example, racism within criminal justice, or the power that shows up in the housing sector. Tenant organizing is a really important example of where power is being built among renters who tend to also be members of minoritized, racialized groups as well. There are so many different sectors that point toward the upstream structural determinants of health that include, but are not limited to, racism. The answer to this question is complex because it’s happening in so many places.</p>



<h4 class="wp-block-heading">Why is now the right time for public health to focus on narrative infrastructure? </h4>



<p>The attacks on health equity and the concepts of equity, diversity, inclusion, and beyond are all the more reason to focus on thinking strategically and long-term. This will allow coalitions to maintain focus on these concepts and build the necessary momentum for narrative — and policy — change when it’s politically possible.</p>



<h4 class="wp-block-heading">There is a lot of nuance to this work, and social change takes a long time. What’s one step public health practitioners can take right away to begin building narrative power?</h4>



<p>This goes back to the tobacco control lesson, which emphasizes the importance of building relationships and coalitions across funders, advocacy, philanthropy, entertainment, news, and media. In this time of threat, the worst thing that can happen is to become isolated and atomized. And it’s understandable when that happens, right? Because when you’re afraid or feeling threatened, it’s easy to curl up and dig in. But, for public health practitioners, reaching out to partner with those in education, in schools of public health, in the journalistic community, in other advocacy organizations, and in community organizing, and building those relationships is going to be critical. The infrastructure can only be built on top of those trusted relationships — it can’t come up out of individuals in silos.&nbsp;</p>



<p>To learn more, read the full perspective in <em>Milbank Quarterly</em>: “<a href="https://onlinelibrary.wiley.com/doi/10.1111/1468-0009.70047">Changing the Story on Health and Racial Equity: Why Public Health Needs an Infrastructure for Building Narrative Power</a>.”&nbsp;</p>
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		<title>The One-Sided Narrative on Immigration and Its Consequences</title>
		<link>https://commhsp.org/the-one-sided-narrative-on-immigration-and-its-consequences/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=the-one-sided-narrative-on-immigration-and-its-consequences</link>
		
		<dc:creator><![CDATA[commhsp]]></dc:creator>
		<pubDate>Tue, 02 Sep 2025 19:22:07 +0000</pubDate>
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		<guid isPermaLink="false">https://commhsp.org/?p=1561</guid>

					<description><![CDATA[By Natália de Paula Moreira, Muna Hassan, Yujin Kim, Meiqing Zhang, Breeze Floyd, Erika Franklin Fowler The passage of the Trump Administration’s so-called “One Big Beautiful Bill” in 2025 directs billions of dollars into immigration enforcement efforts and detention centers, a significant increase over prior funding. The law in many ways follows through on Republican [&#8230;]]]></description>
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<p><em>By Natália de Paula Moreira, Muna Hassan, Yujin Kim, Meiqing Zhang, Breeze Floyd, Erika Franklin Fowler</em></p>



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<p>The passage of the Trump Administration’s so-called “One Big Beautiful Bill” in 2025 directs billions of dollars into immigration enforcement efforts and detention centers, a significant increase over prior <a href="https://www.npr.org/2025/07/03/g-s1-75609/big-beautiful-bill-ice-funding-immigration" target="_blank" rel="noreferrer noopener">funding</a>. The law in many ways follows through on Republican campaign promises made in the 2024 election campaign, when the volume of Republican messaging in campaign advertising about immigration  <a href="https://commhsp.org/2024-campaign-advertising-highlights-what-was-and-wasnt-featured-in-issue-discussion-on-television/" target="_blank" rel="noreferrer noopener">was historically high</a>. A deep dive into the narratives about immigrants and immigration in the 2024 campaign indicates that the messaging from both parties was more negative than in prior cycles. Although campaigns strategically craft political messages in response to public opinion and <a href="https://news.gallup.com/poll/647123/sharply-americans-curb-immigration.aspx" target="_blank" rel="noreferrer noopener">there is evidence that concern over immigration was rising in 2024</a>, the blitz of negatively framed messaging on the topic may have further contributed to increasing negative views of immigration and immigrants and a permission structure for expansive <a href="https://www.pewresearch.org/politics/2024/09/09/issues-and-the-2024-election/" target="_blank" rel="noreferrer noopener">action</a>, such as the passage of the OBBB. In this analysis, we provide a more in-depth look – using both computational and qualitative analysis – at the discourse surrounding immigration in political advertising in the 2024 election and its potential consequences.</p>



<h5 class="wp-block-heading">Figure 1: Screenshots from Television Advertising Mentioning Immigration</h5>



<figure class="wp-block-image size-large"><img loading="lazy" decoding="async" width="1024" height="564" src="https://commhsp.org/wp-content/uploads/2025/09/fig_commhsp_082225_2-1024x564.png" alt="" class="wp-image-1563" srcset="https://commhsp.org/wp-content/uploads/2025/09/fig_commhsp_082225_2-1024x564.png 1024w, https://commhsp.org/wp-content/uploads/2025/09/fig_commhsp_082225_2-300x165.png 300w, https://commhsp.org/wp-content/uploads/2025/09/fig_commhsp_082225_2-768x423.png 768w, https://commhsp.org/wp-content/uploads/2025/09/fig_commhsp_082225_2-1536x845.png 1536w, https://commhsp.org/wp-content/uploads/2025/09/fig_commhsp_082225_2.png 1817w" sizes="(max-width: 1024px) 100vw, 1024px" /><figcaption class="wp-element-caption">Sponsors of each advertisement shown: Make America Great Again Inc. (top left), Democrat Jared Golden (top right), Republican Laurie Buckhout (bottom left), House Majority Forward, which supports Democrats (bottom right).</figcaption></figure>



<p>To identify the main themes in the political ads during the 2024 general election, we first employed a computational technique called BERT-based topic modeling, which analyzes language in an attempt to find patterns for grouping similar text together. (We removed candidate names and geographic locations from this analysis since they would otherwise be prominent words distinguishing specific campaign ads as similar. Spanish ads were not included in the analysis). In addition to immigration, other common topics in the ads included abortion bans, Medicare, social security, drug prices, tax increases, and rising gas prices. The most frequent topics related to immigration portrayed the situation at the southern U.S. border as a national emergency and liberal open-border policies as worsening the issue. Other significant themes included support for conservative fiscal and immigration policies, debates about amnesty for illegal immigrants and government spending on illegal immigrants, and criticism of opponents for ignoring border security and drug crisis. </p>



<p>We then dug in qualitatively to analyze more of the nuanced discussion on immigration, including earlier election cycles. Advertising that touched on immigration in 2024 – no matter the sponsor – almost always conceded that there was a border issue that required a solution. More than that, however, law enforcement and security were prominently featured as the solutions with very little discussion of amnesty for anyone or an acknowledgment of the complexity of ways in which immigrants find their way into the United States. Perhaps in part because of the acceptance of the border framing, there was also vanishingly little language that painted a positive vision of <a href="https://www.nationalacademies.org/our-work/economic-and-fiscal-impact-of-immigration" target="_blank" rel="noreferrer noopener">immigration and its benefits to the United States</a> beyond individual acknowledgements in Democratic sponsored Spanish ads of coming from a hard-working immigrant family. This stands in contrast to what we found in earlier election cycles, in which ads featured explicit discussion of immigration as essential to America’s economic strength, the need for compassionate DACA reform, and America being a nation of immigrants where anyone can get ahead.</p>



<p>Although Republican advertising featured immigration more prominently, both parties emphasized negatively valenced messages about immigration. However, their messaging differed in focus and framing.&nbsp;</p>



<p>Republican ads frequently portrayed the border as a crisis caused by Democratic policies, often linking undocumented immigration to violent crimes, trafficking of fentanyl across the border and economic/resource drain. Examples included phrases such as “murdered by illegals” and “Kamala allowed dangerous criminals through our border.” Multiple ads directly tied the fentanyl crisis to border security failures, claiming Democratic policies had allowed cartels and &#8220;illegals&#8221; to bring drugs into the country (e.g., &#8220;Don Davis, Joe Biden, and Kamala Harris have failed us on the border. Woke Democrat policies have illegals and fentanyl pouring in).&#8221; Some ads also claimed Democrats supported providing benefits like Medicare and Social Security to undocumented immigrants, arguing this came at the expense of American taxpayers (e.g. “Now Kamala wants struggling seniors to pay more social security taxes, while she gives Medicare and social security to illegals”). Several ads extended this argument to healthcare systems, claiming hospitals were “overwhelmed” by immigrants at the expense of American patients (e.g., &#8220;Hospitals everywhere are overwhelmed and American patients are paying the price&#8221;). In other words, immigrants were not just dangerous but also a drain on resources.</p>



<h5 class="wp-block-heading">Figure 2: Screenshots from Pro-Republican Sponsored Television Advertising </h5>



<figure class="wp-block-image size-large"><img loading="lazy" decoding="async" width="1024" height="487" src="https://commhsp.org/wp-content/uploads/2025/09/fig_rep_commhsp_082225-1024x487.png" alt="" class="wp-image-1562" srcset="https://commhsp.org/wp-content/uploads/2025/09/fig_rep_commhsp_082225-1024x487.png 1024w, https://commhsp.org/wp-content/uploads/2025/09/fig_rep_commhsp_082225-300x143.png 300w, https://commhsp.org/wp-content/uploads/2025/09/fig_rep_commhsp_082225-768x365.png 768w, https://commhsp.org/wp-content/uploads/2025/09/fig_rep_commhsp_082225-1536x730.png 1536w, https://commhsp.org/wp-content/uploads/2025/09/fig_rep_commhsp_082225.png 1817w" sizes="(max-width: 1024px) 100vw, 1024px" /><figcaption class="wp-element-caption">Sponsors of each advertisement shown: Make America Great Again Inc. (top left), Republican Jen Kiggans (top right), Republican Marsha Blackburn (bottom left), Preserve America PAC (bottom right). </figcaption></figure>



<p>Democratic ads, meanwhile, focused on policy solutions, such as hiring more border agents and improving security technology. They frequently cited law enforcement figures, including images or speakers who were sheriffs and Border Patrol agents, to reinforce and toughen their stance on border security. While Democratic ads featured immigration less often than Republican ads and tended to avoid overtly inflammatory language, some of their proposed solutions, such as &#8220;deporting violent criminals&#8221; and combating the fentanyl crisis &#8211; aligned with GOP messaging. </p>



<h5 class="wp-block-heading">Figure 3: Screenshots from Pro-Democratic Sponsored Television Advertising </h5>



<figure class="wp-block-image size-large"><img loading="lazy" decoding="async" width="1024" height="487" src="https://commhsp.org/wp-content/uploads/2025/09/fig_dem_commhsp_082225_2-1024x487.png" alt="" class="wp-image-1564" srcset="https://commhsp.org/wp-content/uploads/2025/09/fig_dem_commhsp_082225_2-1024x487.png 1024w, https://commhsp.org/wp-content/uploads/2025/09/fig_dem_commhsp_082225_2-300x143.png 300w, https://commhsp.org/wp-content/uploads/2025/09/fig_dem_commhsp_082225_2-768x365.png 768w, https://commhsp.org/wp-content/uploads/2025/09/fig_dem_commhsp_082225_2-1536x730.png 1536w, https://commhsp.org/wp-content/uploads/2025/09/fig_dem_commhsp_082225_2.png 1817w" sizes="(max-width: 1024px) 100vw, 1024px" /><figcaption class="wp-element-caption">Sponsors of each advertisement shown: With Honor Fund II (top left), Protect Progress (top right), Democrat Sherrod Brown (bottom left), Democrat Tammy Baldwin  (bottom right).</figcaption></figure>



<p>As noted earlier, there was a near total absence of positive portrayals of immigrants in campaign ads in 2024. Messages highlighting immigrants&#8217; contributions, such as filling essential jobs, paying taxes, and strengthening communities were virtually non-existent in Republican ads. Spanish-language Democratic ads stood out as an exception, highlighting immigrant contributions through personal narratives, such as stories of immigrant parents working hard to support their families and/or personal stories of immigrant resilience (e.g., &#8220;When you&#8217;re raised by an immigrant mother, you know what&#8217;s possible with determination&#8221;). These ads, though few in number, stood in stark contrast to the dominant narrative by emphasizing immigrant perseverance and bipartisan solutions. Nevertheless, the overall discourse remained skewed toward negativity, with little recognition of immigrants&#8217; economic or social contributions.</p>



<p>Political advertising is important, not just because it is a primary vehicle through which candidates for office communicate their policy priorities, but also because it can actively shape the public’s perceptions of important issues and acceptable policy solutions. This detailed analysis of immigration narratives in 2024 suggests that messages surrounding immigration were prominent and dominated by Republicans. When Democrats talked about the issue, their framing of the topic was also negative,  leaving the rare Democratic Spanish-language ad to provide any positive perspective. The one-sided narrative on the border as problematic, with security and enforcement as the solutions, likely helped to create the conditions that led to the passage of President Trump’s signature legislation to date that has directed historic increases to immigration authorities for deportation and detention.</p>



<p>Public opinion is not set in stone, and future election cycles may shift the tenor of political conversations about immigrants and immigration policy. For example, evidence from other countries suggests that the success of populist parties in one round of elections <a href="https://academic.oup.com/poq/article/87/4/1013/7471545?login=false" target="_blank" rel="noreferrer noopener">might also restore more positive views of immigration</a>. In fact, <a href="https://news.gallup.com/poll/692522/surge-concern-immigration-abated.aspx">Gallup’s June 2025 survey</a> already suggests a decrease in concern over immigration and an increasing belief to a historically high level that immigration is a good thing for the United States.</p>



<p><strong>Read more related work from the COMM team:</strong></p>



<ul class="wp-block-list">
<li><a href="https://commhsp.org/2024-campaign-advertising-highlights-what-was-and-wasnt-featured-in-issue-discussion-on-television/" target="_blank" rel="noreferrer noopener">What was and wasn’t covered in 2024 campaign advertising</a></li>



<li><a href="https://commhsp.org/how-political-candidates-discussed-racial-and-gender-identity-in-2022-and-what-it-means-for-2024/" target="_blank" rel="noreferrer noopener">How political candidates discussed racial and gender identity in 2022 &#8211; and what it means for 2024</a></li>



<li>On the <a href="https://www.milbank.org/quarterly/articles/issues-relevant-to-population-health-in-political-advertising-in-the-united-states-2011%e2%80%902012-and-2015%e2%80%902016/" target="_blank" rel="noreferrer noopener">population health-relevant content of campaign advertising</a> in past presidential elections</li>



<li>On how <a href="https://commhsp.org/cumulative-exposure-to-political-campaign-ads-about-crime-increases-crime-worry-among-republicans/" target="_blank" rel="noreferrer noopener">exposure to crime in campaign ads can increase worry among Republicans</a></li>



<li>On what <a href="https://onlinelibrary.wiley.com/doi/full/10.1002/wmh3.470" target="_blank" rel="noreferrer noopener">explains campaign ad attention to social determinants of health</a></li>
</ul>



<p><em>This post was funded by the Robert Wood Johnson Foundation (Grant no. 79754). The views expressed here do not necessarily reflect the views of the foundation.</em></p>



<p></p>
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		<title>An Update on Attention to Racism and Counter-Messaging in 2025</title>
		<link>https://commhsp.org/an-update-on-attention-to-racism-and-counter-messaging-in-2025/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=an-update-on-attention-to-racism-and-counter-messaging-in-2025</link>
		
		<dc:creator><![CDATA[commhsp]]></dc:creator>
		<pubDate>Wed, 28 May 2025 14:23:09 +0000</pubDate>
				<category><![CDATA[Uncategorized]]></category>
		<guid isPermaLink="false">https://commhsp.org/?p=1445</guid>

					<description><![CDATA[The Collaborative on Media and Messaging (COMM) for Health and Social Policy has previously identified evidence for robust and growing counter-messaging and news attention to policies and initiatives designed to combat structural racism and health equity. Given the second Trump Administration’s focus on dismantling diversity, equity, and inclusion (DEI) programs, it seemed likely that local [&#8230;]]]></description>
										<content:encoded><![CDATA[
<p>The Collaborative on Media and Messaging (COMM) for Health and Social Policy has previously identified <a href="https://commhsp.org/attention-to-predictors-of-and-potential-consequences-of-racism-and-counter-messaging-in-mainstream-media/" target="_blank" rel="noreferrer noopener">evidence for robust and growing counter-messaging and news attention to policies and initiatives designed to combat structural racism and health equity</a>. </p>



<span id="more-1445"></span>



<p>Given the second Trump Administration’s focus on dismantling diversity, equity, and inclusion (DEI) programs, it seemed likely that local TV news attention to these concepts would have grown since Trump took office. In an updated analysis of trends in local TV news coverage that extends through April 2025, and in light of the 5-year anniversary of George Floyd’s murder, we confirm not only that news attention to counter-messaging has grown but also that the news attention it has received in early 2025 is of a magnitude similar to the level of attention to structural racism in the wake of George Floyd’s murder and disparities revealed by the COVID-19 pandemic in the summer of 2020.</p>



<p>As shown in Figure 1 below, attention to DEI in local TV news in particular spiked following Inauguration Day as Trump signed the first of a series of executive orders targeting diversity policies and programs in the public and private sectors alike. Moreover, attention to DEI has remained high (with seven-day averages hovering around 200 stories) since February. These data come from keyword and pattern searches of the closed captioning on local TV news programs (790 stations affiliated with ABC, CBS, NBC, Fox, and PBS across 212 U.S. local media markets) from January 1, 2020 through April 30, 2025.</p>



<h5 class="wp-block-heading">Figure 1. Local media attention to structural racism, critical race theory and DEI initiatives. Trendlines are seven-day rolling averages.</h5>



<figure class="wp-block-image size-full is-resized"><img loading="lazy" decoding="async" width="2200" height="1101" src="https://commhsp.org/wp-content/uploads/2025/05/commhsp_052825-1.png" alt="Plots to show Local media attention to structural racism, critical race theory and DEI initiatives over time" class="wp-image-1453" style="width:800px" srcset="https://commhsp.org/wp-content/uploads/2025/05/commhsp_052825-1.png 2200w, https://commhsp.org/wp-content/uploads/2025/05/commhsp_052825-1-300x150.png 300w, https://commhsp.org/wp-content/uploads/2025/05/commhsp_052825-1-1024x512.png 1024w, https://commhsp.org/wp-content/uploads/2025/05/commhsp_052825-1-768x384.png 768w, https://commhsp.org/wp-content/uploads/2025/05/commhsp_052825-1-1536x769.png 1536w, https://commhsp.org/wp-content/uploads/2025/05/commhsp_052825-1-2048x1025.png 2048w" sizes="(max-width: 2200px) 100vw, 2200px" /></figure>



<p>This sustained attention – which likely can be attributed not only to Trump executive orders and discourse as well as responses from the corporate, education, and non-profit sectors – is not only large, but as demonstrated by the top trendline, it lacks inclusive discussion of structural racism concerns that led to the adoption of many of these programs and initiatives in the first place. As we identified in January, these trends fit the pattern of progress on social justice being <a href="https://fivethirtyeight.com/features/white-backlash-is-a-type-of-racial-reckoning-too/" target="_blank" rel="noreferrer noopener">followed by the politics of backlash</a>.</p>



<p>Our ongoing work-in-progress suggests that growing backlash against DEI initiatives is accompanied by heightened contention between different perspectives and discussion of controversy. This assessment might explain why opinion about DEI <a href="https://www.nbcnews.com/politics/politics-news/poll-american-voters-are-deeply-divided-dei-programs-political-correct-rcna196377" target="_blank" rel="noreferrer noopener">has polarized</a> but not cratered, with political Independents along with Democrats being much more supportive of DEI programs than Republicans. Importantly, <a href="https://aapor.org/newsletters/beyond-dei-understanding-public-opinion-on-diversity-equity-inclusion/" target="_blank" rel="noreferrer noopener">survey work has shown</a> that support for the underlying ideas surrounding diversity, equity, and inclusion are still widely supported when the term DEI itself is excluded, and some corporations are <a href="https://www.wsj.com/business/retail/target-tgt-q1-earnings-report-stock-59cc82a9" target="_blank" rel="noreferrer noopener">reporting consequences of their decisions to roll back DEI</a>. That said, advocates for racial and health equity continue to face strong anti-messaging headwinds that have only increased in the media attention cycle in 2025.</p>



<p><strong>Read more relevant work from the COMM team:</strong></p>



<ul class="wp-block-list">
<li>Our earlier <a href="https://commhsp.org/attention-to-predictors-of-and-potential-consequences-of-racism-and-counter-messaging-in-mainstream-media/">report on attention to, predictors of, and potential consequences of racism and counter-messaging in mainstream media</a></li>



<li>What <a href="https://commhsp.org/2024-campaign-advertising-highlights-what-was-and-wasnt-featured-in-issue-discussion-on-television/">was and wasn’t featured in 2024 campaign advertising</a></li>



<li>How<a href="https://commhsp.org/how-political-candidates-discussed-racial-and-gender-identity-in-2022-and-what-it-means-for-2024/"> political candidates discussed racial and gender identity in 2022 – and what it means for 2024</a></li>



<li>What <a href="https://commhsp.org/what-role-did-local-news-play-in-the-controversy-about-masks/">role did local news play in the controversy about masks?</a></li>
</ul>



<p><em>The ongoing work-in-progress described here includes contributions from Meiqing Zhang, Natália de Paula Moreira, Breeze Floyd, Steven Moore, Erika Franklin Fowler, Yujin Kim, Furkan Cakmak, Neil Lewis, Jr., Jeff Niederdeppe, and Sarah Gollust. Support for this research was provided by the Robert Wood Johnson Foundation (grant #79754). The views expressed here do not necessarily reflect the views of the Foundation.</em></p>
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		<title>April 2025 Public Opinion on Medicaid</title>
		<link>https://commhsp.org/april-2025-public-opinion-on-medicaid/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=april-2025-public-opinion-on-medicaid</link>
		
		<dc:creator><![CDATA[commhsp]]></dc:creator>
		<pubDate>Fri, 23 May 2025 19:46:07 +0000</pubDate>
				<category><![CDATA[hide]]></category>
		<guid isPermaLink="false">https://commhsp.org/?p=1261</guid>

					<description><![CDATA[These tables provide results from a survey we conducted April 7 – 27 using the probability-based SSRS Opinion Panel. We surveyed more than 1500 U.S. residents (roughly half who identified as Black and half who identified as White) and weighted the results to reflect national population distributions. Our findings have a margin of error of [&#8230;]]]></description>
										<content:encoded><![CDATA[
<p>These tables provide results from a survey we conducted April 7 – 27 using the probability-based <a href="https://ssrs.com/ssrs-solutions/ssrs-opinion-panel/" target="_blank" rel="noreferrer noopener">SSRS Opinion Panel</a>. We surveyed more than 1500 U.S. residents (roughly half who identified as Black and half who identified as White) and weighted the results to reflect national population distributions. Our findings have a margin of error of +/- 3.2 percentage points.&nbsp;</p>



<span id="more-1261"></span>



<p>We present percentages below for the overall sample and for subgroups of respondents – by political party identification, insurance status, and whether they live in a “red” or “blue” state, according to the results of the 2024 electoral college.&nbsp;</p>



<p><strong>Exhibit 1</strong> shows the percentages of people who wanted Congress to “increase,” “keep the same,” or “decrease” spending on Medicaid.&nbsp;</p>



<p><strong>Exhibit 2</strong> shows the percentages of people who thought protecting Medicaid from cuts in federal funding would be “very effective,” “effective,” or “somewhat effective” compared to those who thought it would be only “slightly effective” or “not at all effective” in producing four different outcomes.&nbsp;</p>



<p><strong>Exhibit 3</strong> shows the percentages of people who were “extremely likely” or “likely” to engage in a variety of advocacy-related behaviors compared to those who were “neither likely nor unlikely,” “unlikely,” or “extremely unlikely” to do so.&nbsp;</p>



<p><strong>Exhibit 4</strong> provides a summary of the sample demographics.&nbsp;</p>



<div style="overflow-x:auto;">
<table class="table-po">
    <thead>
    <tr>
        <th style="text-align: left;">Exhibit 1. Responses to the question, “Do you want to see Congress increase spending on Medicaid, <br>decrease spending on Medicaid, or keep spending on Medicaid about the same?”<sup>1</sup> </th>
        
    </tr>
    
</thead>
</table>

<p>
<table class="table-po">
    <thead>
    <tr>
        <th colspan="2" style="text-align: left">Overall<br> </th>
        <th><span class="normal-textt"><br>(N=1571)</span></th>
           
    </tr>    
</thead>
<tbody>
    <tr>
<td>+</td>
    <td  style="padding-left: 0 !important">Keep the same/Increase</td>
      <td style="text-align: center; border-left: 1px solid black !important;">75%</td>
      
     </tr>
<tr>
    <td style="background-color: #d9d9d9;">&#8211;</td>
    <td style="padding-left: 0 !important; background-color: #d9d9d9;">Decrease</td>
 <td style="text-align: center; border-left: 1px solid black !important; background-color: #d9d9d9;">18%</td>
</tr>
    
</tbody>
</table>

<p>
<table class="table-po">
    <thead>
    <tr>
        <th colspan="2" style="text-align: left">By Party<sup>2</sup></th>
        <th>Republican <br><span class="normal-textt">(N = 518)</span></th>
 <th>Democrat <br><span class="normal-textt">(N = 495)</span></th>
 <th>Independent <br><span class="normal-textt">(N = 383)</span></th>
 <th>No Preference <br><span class="normal-textt">(N = 139)</span></th>
           
    </tr>    
</thead>
<tbody>
    <tr>
<td>+</td>
    <td style="padding-left: 0 !important">Keep the same/Increase</td>
        <td style="text-align: center; border-left: 1px solid black !important;">51%</td>
 <td style="text-align: center">94%</td>
 <td style="text-align: center">81%</td>
 <td style="text-align: center">82%</td>
      
     </tr>
<tr>
    <td style="background-color: #d9d9d9">&#8211;</td>
    <td style="padding-left: 0 !important; background-color: #d9d9d9">Decrease</td>
 <td style="text-align: center; border-left: 1px solid black !important; background-color: #d9d9d9">40%</td>
<td style="text-align: center; background-color: #d9d9d9;">3%</td>
<td style="text-align: center; background-color: #d9d9d9;">14%</td>
<td style="text-align: center; background-color: #d9d9d9;">6%</td>
</tr>
    
</tbody>
</table>


<p>
<table class="table-po">
    <thead>
    <tr>
        <th colspan="2" style="text-align: left">By Insurance Status</th>
        <th>Medicaid <br>Beneficiary <br><span class="normal-textt">(N = 160)</span></th>
 <th>Non-Medicaid <br>Beneficiary <br><span class="normal-textt">(N = 1262)</span></th>
 <th><br>Uninsured <br><span class="normal-textt">(N = 120)</span></th>
           
    </tr>    
</thead>
<tbody>
    <tr>
<td>+</td>
    <td style="padding-left: 0 !important">Keep the same/Increase</td>
        <td style="text-align: center; border-left: 1px solid black !important;">88%</td>
 <td style="text-align: center">73%</td>
 <td style="text-align: center">83%</td>
     </tr>
<tr>
    <td style="background-color: #d9d9d9;">&#8211;</td>
    <td style="padding-left: 0 !important; background-color: #d9d9d9;">Decrease</td>
 <td style="text-align: center; border-left: 1px solid black !important; background-color: #d9d9d9;">6%</td>
<td style="text-align: center; background-color: #d9d9d9;">20%</td>
<td style="text-align: center; background-color: #d9d9d9;">11%</td>
</tr>
    
</tbody>
</table>


<p>
<table class="table-po">
    <thead>
    <tr>
        <th colspan="2" style="text-align: left">By State of Residence <br><span class="normal-textt">2024 Electoral College Results </span></th>
        <th>Red States <br><span class="normal-textt">(N = 1037)</span> </th>
 <th>Blue States <br><span class="normal-textt">(N = 535) </span></th>
 
           
    </tr>    
</thead>
<tbody>
    <tr>
<td>+</td>
    <td style="padding-left: 0 !important">Keep the same/Increase</td>
        <td style="text-align: center; border-left: 1px solid black !important;">74%</td>
 <td style="text-align: center">78%</td>

     </tr>
<tr>
    <td style="background-color: #d9d9d9;">&#8211;</td>
    <td style="padding-left: 0 !important; background-color: #d9d9d9;">Decrease</td>
 <td style="text-align: center; border-left: 1px solid black !important; background-color: #d9d9d9;">20%</td>
<td style="text-align: center; background-color: #d9d9d9;">15%</td>

</tr>
    
</tbody>
</table>
</div>



<p><strong>Notes. <sup>1</sup></strong> Weighted to Black &amp; White U.S. adults. Margin of Standard Error: +/- 3.2%. <strong><sup>2</sup></strong><sup> </sup>Party column omits &#8220;Another party&#8221; (N = 35).&nbsp;&nbsp;</p>



<div style="overflow-x:auto;">
<table class="table-po">
    <thead>
    <tr>
        <th>Exhibit 2. Responses to the question, <em>“How effective do you think protecting Medicaid from federal funding cuts would be for each of the following?”<sup>1</sup></em></th>
        
    </tr>
    
</thead>
</table>

<p>
<table class="table-po">
    <thead>
    <tr>
        <th colspan="3" style="text-align: left">Overall<br> </th>
        <th><span class="normal-textt"><br>(N=1571)</span></th>
           
    </tr>    
</thead>
<tbody>
    <tr>
<td rowspan="2" style="border-right: 1px solid black !important; border-bottom: 1px solid black !important;">Keeping people from becoming uninsured </td>
    <td  rowspan="1" style="text-align: center !important">+</td>
      <td rowspan="1" style="text-align: center;">Somewhat/Effective/(Very) </td>
<td rowspan="1" style="text-align: center; border-left: 1px solid black !important;">79%</td>
      
     </tr>
<tr>
    <td rowspan="1" style="border-bottom: 1px solid black !important; background-color: #d9d9d9">&#8211;</td>
    <td rowspan="1" style="border-bottom: 1px solid black !important; background-color: #d9d9d9">Not at all/Slightly </td>
 <td rowspan="1" style="text-align: center; border-left: 1px solid black !important; border-bottom: 1px solid black !important; background-color: #d9d9d9">21%</td>
</tr>
   
 <tr>
<td rowspan="2" style="border-right: 1px solid black !important; border-bottom: 1px solid black !important;"">Protecting access to health care</td>
    <td  rowspan="1">+</td>
      <td rowspan="1" style="text-align: center;">Somewhat/Effective/(Very) </td>
<td rowspan="1" style="text-align: center; border-left: 1px solid black !important;">80%</td>
      
     </tr>
<tr>
    <td rowspan="1" style="border-bottom: 1px solid black !important; background-color: #d9d9d9">&#8211;</td>
    <td rowspan="1" style="border-bottom: 1px solid black !important; background-color: #d9d9d9">Not at all/Slightly </td>
 <td rowspan="1" style="text-align: center; border-left: 1px solid black !important; border-bottom: 1px solid black !important; background-color: #d9d9d9">20%</td>
</tr> 

<tr>
<td rowspan="2" style="border-right: 1px solid black !important; border-bottom: 1px solid black !important;">Protecting against increases in medical debt</td>
    <td  rowspan="1">+</td>
      <td rowspan="1" style="text-align: center;">Somewhat/Effective/(Very) </td>
<td rowspan="1" style="text-align: center; border-left: 1px solid black !important;">77%</td>
      
     </tr>
<tr>
    <td rowspan="1" style="border-bottom: 1px solid black !important; background-color: #d9d9d9">&#8211;</td>
    <td rowspan="1" style="border-bottom: 1px solid black !important; background-color: #d9d9d9">Not at all/Slightly </td>
 <td rowspan="1" style="text-align: center; border-left: 1px solid black !important; border-bottom: 1px solid black !important; background-color: #d9d9d9">23%</td>
</tr> 

<tr>
<td rowspan="2" style="border-right: 1px solid black !important;">Protecting the health of people and families with low incomes</td>
    <td  rowspan="1">+</td>
      <td rowspan="1" style="text-align: center;">Somewhat/Effective/(Very) </td>
<td rowspan="1" style="text-align: center; border-left: 1px solid black !important;">81%</td>
      
     </tr>
<tr>
    <td rowspan="1" style="background-color: #d9d9d9">&#8211;</td>
    <td rowspan="1" style="background-color: #d9d9d9">Not at all/Slightly </td>
 <td rowspan="1" style="text-align: center; border-left: 1px solid black !important; background-color: #d9d9d9">19%</td>
</tr> 
</tbody>
</table>


<p>
<table class="table-po">
    <thead>
    <tr>
        <th colspan="3" style="text-align: left">By Party</th>
        <th>Republican <br><span class="normal-textt">(N = 518)</span></th>
<th>Democrat <br><span class="normal-textt">(N = 495)</span></th>
<th>Independent <br><span class="normal-textt">(N = 383)</span></th>
<th>No Preference <br><span class="normal-textt">(N = 139) </span></th>
           
    </tr>    
</thead>
<tbody>
    <tr>
<td rowspan="2" style="border-right: 1px solid black !important; border-bottom: 1px solid black !important;">Keeping people from becoming uninsured </td>
    <td  rowspan="1" style="text-align: center !important">+</td>
      <td rowspan="1" style="text-align: center;">Somewhat/Effective/(Very) </td>
<td rowspan="1" style="text-align: center; border-left: 1px solid black !important;">67%</td>
<td rowspan="1" style="text-align: center;">90%</td>
<td rowspan="1" style="text-align: center;">80%</td>
<td rowspan="1" style="text-align: center;">80%</td>
      
     </tr>
<tr>
    <td rowspan="1" style="border-bottom: 1px solid black !important; background-color: #d9d9d9">&#8211;</td>
    <td rowspan="1" style="border-bottom: 1px solid black !important; background-color: #d9d9d9">Not at all/Slightly </td>
 <td rowspan="1" style="text-align: center; border-left: 1px solid black !important; border-bottom: 1px solid black !important; background-color: #d9d9d9;">33%</td>

<td rowspan="1" style="text-align: center; border-bottom: 1px solid black !important; background-color: #d9d9d9;">10%</td>

<td rowspan="1" style="text-align: center; border-bottom: 1px solid black !important; background-color: #d9d9d9;">20%</td>

<td rowspan="1" style="text-align: center; border-bottom: 1px solid black !important; background-color: #d9d9d9;">20%</td>
</tr>
   
 <tr>
<td rowspan="2" style="border-right: 1px solid black !important; border-bottom: 1px solid black !important;"">Protecting access to health care</td>
    <td  rowspan="1">+</td>
      <td rowspan="1" style="text-align: center;">Somewhat/Effective/(Very) </td>
<td rowspan="1" style="text-align: center; border-left: 1px solid black !important;">68%</td>
<td rowspan="1" style="text-align: center;">92%</td>
<td rowspan="1" style="text-align: center;">79%</td>
<td rowspan="1" style="text-align: center;">82%</td>
      
     </tr>
<tr>
    <td rowspan="1" style="border-bottom: 1px solid black !important; background-color: #d9d9d9">&#8211;</td>
    <td rowspan="1" style="border-bottom: 1px solid black !important; background-color: #d9d9d9">Not at all/Slightly </td>
 <td rowspan="1" style="text-align: center; border-left: 1px solid black !important; border-bottom: 1px solid black !important; background-color: #d9d9d9">32%</td>
 <td rowspan="1" style="text-align: center; border-bottom: 1px solid black !important; background-color: #d9d9d9">8%</td>
 <td rowspan="1" style="text-align: center; border-bottom: 1px solid black !important; background-color: #d9d9d9">21%</td>
 <td rowspan="1" style="text-align: center; border-bottom: 1px solid black !important; background-color: #d9d9d9">19%</td>
</tr> 

<tr>
<td rowspan="2" style="border-right: 1px solid black !important; border-bottom: 1px solid black !important;">Protecting against increases in medical debt</td>
    <td  rowspan="1">+</td>
      <td rowspan="1" style="text-align: center;">Somewhat/Effective/(Very) </td>
<td rowspan="1" style="text-align: center; border-left: 1px solid black !important;">66%</td>
<td rowspan="1" style="text-align: center;">89%</td>
<td rowspan="1" style="text-align: center;">76%</td>
<td rowspan="1" style="text-align: center;">81%</td>
      
     </tr>
<tr>
    <td rowspan="1" style="border-bottom: 1px solid black !important; background-color: #d9d9d9">&#8211;</td>
    <td rowspan="1" style="border-bottom: 1px solid black !important; background-color: #d9d9d9">Not at all/Slightly </td>
 <td rowspan="1" style="text-align: center; border-left: 1px solid black !important; border-bottom: 1px solid black !important; background-color: #d9d9d9">34%</td>
<td rowspan="1" style="text-align: center; border-bottom: 1px solid black !important; background-color: #d9d9d9">11%</td>
<td rowspan="1" style="text-align: center; border-bottom: 1px solid black !important; background-color: #d9d9d9">24%</td>
<td rowspan="1" style="text-align: center; border-bottom: 1px solid black !important; background-color: #d9d9d9">20%</td>
</tr> 

<tr>
<td rowspan="2" style="border-right: 1px solid black !important;">Protecting the health of people and families with low incomes</td>
    <td  rowspan="1">+</td>
      <td rowspan="1" style="text-align: center;">Somewhat/Effective/(Very) </td>
<td rowspan="1" style="text-align: center; border-left: 1px solid black !important;">71%</td>
<td rowspan="1" style="text-align: center;">94%</td>
<td rowspan="1" style="text-align: center;">82%</td>
<td rowspan="1" style="text-align: center;">79%</td>
      
     </tr>
<tr>
    <td rowspan="1" style="background-color: #d9d9d9">&#8211;</td>
    <td rowspan="1" style="background-color: #d9d9d9">Not at all/Slightly </td>
 <td rowspan="1" style="text-align: center; border-left: 1px solid black !important; background-color: #d9d9d9">29%</td>
<td rowspan="1" style="text-align: center; background-color: #d9d9d9">6%</td>
<td rowspan="1" style="text-align: center; background-color: #d9d9d9">18%</td>
<td rowspan="1" style="text-align: center; background-color: #d9d9d9">21%</td>
</tr> 
</tbody>
</table>
</div>



<p><strong>Notes. <sup>1</sup></strong> Weighted to Black &amp; White U.S. adults. Margin of Standard Error: +/- 3.2%. <strong><sup>2</sup></strong><sup> </sup>Party column omits &#8220;Another party&#8221; (N = 35).&nbsp;&nbsp;</p>



<div style="overflow-x:auto;">
<table class="table-po">
    <thead>
    <tr>
        <th style="text-align: left;">Exhibit 3. Intentions to Advocate to Protect Medicaid <br>
<span class="normal-textt">Among respondents who think Congress should increase or keep Medicaid spending the same<sup>1</sup> </span></th>
        
    </tr>
    
</thead>
</table>

<p>
<table class="table-po">
    <thead>
    <tr>
        <th colspan="3" rowspan="2" style="text-align: left">Responses to the question, <em>“There are many activities that a person could do to protect your state&#8217;s Medicaid program from cuts in federal funding. How likely are you to do the following in the next 12 months?” </em></th>
        <th rowspan="2" style="width: 65px; border-right: 1px solid black !important; border-left: 1px solid black !important;">Overall <br><span class="normal-textt">(N = 1179)</span></th>
<th rowspan="1" colspan="2" style="border-bottom: 1px solid black !important;">State of Residence <br><span class="normal-textt">2024 Electoral College Results </span></th>

           
    </tr>  
<tr>
<th colspan="1" rowspan="1" style="width: 74px">Red States <br><span class="normal-textt">(N = 415) </span></th>
<th colspan="1" rowspan="1" style="width: 78px">Blue States <br><span class="normal-textt">(N = 764) </span> </th>
</tr>  
</thead>
<tbody>
    <tr>
<td rowspan="2" style="border-right: 1px solid black !important; border-bottom: 1px solid black !important;">Contact elected officials to urge them to take action to protect Medicaid in your state.</td>
    <td  rowspan="1" style="text-align: center !important">+</td>
      <td rowspan="1">Likely/(Extremely)</td>
<td rowspan="1" style="text-align: center; border-left: 1px solid black !important; border-right: 1px solid black !important;">40%</td>
<td rowspan="1" style="text-align: center;">41%</td>
<td rowspan="1" style="text-align: center;">39%</td>

      
     </tr>
<tr>
    <td rowspan="1" style="border-bottom: 1px solid black !important; background-color: #d9d9d9">&#8211;</td>
    <td rowspan="1" style="border-bottom: 1px solid black !important; background-color: #d9d9d9">Neither/Unlikely/(Extremely)</td>
 <td rowspan="1" style="text-align: center; border-left: 1px solid black !important; border-bottom: 1px solid black !important; background-color: #d9d9d9; border-right: 1px solid black !important;">60%</td>

<td rowspan="1" style="text-align: center; border-bottom: 1px solid black !important; background-color: #d9d9d9;">59%</td>

<td rowspan="1" style="text-align: center; border-bottom: 1px solid black !important; background-color: #d9d9d9;">61%</td>


</tr>
   
 <tr>
<td rowspan="2" style="border-right: 1px solid black !important; border-bottom: 1px solid black !important;"">Volunteer your time to campaign for a political candidate because they support protecting Medicaid in your state.</td>
    <td  rowspan="1">+</td>
      <td rowspan="1">Likely/(Extremely)</td>
<td rowspan="1" style="text-align: center; border-left: 1px solid black !important; border-right: 1px solid black !important;">21%</td>
<td rowspan="1" style="text-align: center;">22%</td>
<td rowspan="1" style="text-align: center;">19%</td>

      
     </tr>
<tr>
    <td rowspan="1" style="border-bottom: 1px solid black !important; background-color: #d9d9d9">&#8211;</td>
    <td rowspan="1" style="border-bottom: 1px solid black !important; background-color: #d9d9d9">Neither/Unlikely/(Extremely)</td>
 <td rowspan="1" style="text-align: center; border-left: 1px solid black !important; border-bottom: 1px solid black !important; background-color: #d9d9d9; border-right: 1px solid black !important;">79%</td>
 <td rowspan="1" style="text-align: center; border-bottom: 1px solid black !important; background-color: #d9d9d9">77%</td>
 <td rowspan="1" style="text-align: center; border-bottom: 1px solid black !important; background-color: #d9d9d9">81%</td>
 
</tr> 

<tr>
<td rowspan="2" style="border-right: 1px solid black !important; border-bottom: 1px solid black !important;">Search for information about protecting Medicaid in your state.</td>
    <td  rowspan="1">+</td>
      <td rowspan="1">Likely/(Extremely)</td>
<td rowspan="1" style="text-align: center; border-left: 1px solid black !important; border-right: 1px solid black !important;">56%</td>
<td rowspan="1" style="text-align: center;">54%</td>
<td rowspan="1" style="text-align: center;">56%</td>

      
     </tr>
<tr>
    <td rowspan="1" style="border-bottom: 1px solid black !important; background-color: #d9d9d9">&#8211;</td>
    <td rowspan="1" style="border-bottom: 1px solid black !important; background-color: #d9d9d9">Neither/Unlikely/(Extremely)</td>
 <td rowspan="1" style="text-align: center; border-left: 1px solid black !important; border-bottom: 1px solid black !important; background-color: #d9d9d9; border-right: 1px solid black !important;">44%</td>
<td rowspan="1" style="text-align: center; border-bottom: 1px solid black !important; background-color: #d9d9d9">45%</td>
<td rowspan="1" style="text-align: center; border-bottom: 1px solid black !important; background-color: #d9d9d9">44%</td>

</tr> 

<tr>
<td rowspan="2" style="border-right: 1px solid black !important;">Try to raise awareness about the effort to protect Medicaid in your state.</td>
    <td  rowspan="1">+</td>
      <td rowspan="1">Likely/(Extremely)</td>
<td rowspan="1" style="text-align: center; border-left: 1px solid black !important; border-right: 1px solid black !important;">45%</td>
<td rowspan="1" style="text-align: center;">46%</td>
<td rowspan="1" style="text-align: center;">44%</td>

      
     </tr>
<tr>
    <td rowspan="1" style="background-color: #d9d9d9;">&#8211;</td>
    <td rowspan="1" style="background-color: #d9d9d9;">Neither/Unlikely/(Extremely)</td>
 <td rowspan="1" style="text-align: center; border-left: 1px solid black !important; background-color: #d9d9d9; border-right: 1px solid black !important;">55%</td>
<td rowspan="1" style="text-align: center; background-color: #d9d9d9;">54%</td>
<td rowspan="1" style="text-align: center; background-color: #d9d9d9;">56%</td>

</tr> 
</tbody>
</table>
</div>



<p><strong>Notes. <sup>1</sup></strong> Weighted to Black &amp; White U.S. adults. Margin of Standard Error: +/- 3.2. <strong><sup>2</sup></strong><sup> </sup>Party column omits &#8220;Another party&#8221; (N = 35).&nbsp;</p>



<div style="overflow-x:auto;">
<table class="table-po">
    <thead>
    <tr>
        <th colspan="2" rowspan="2" style="text-align: left; border-right: 1px solid black !important;">Exhibit 4. Sample Characteristics</em></th>
        <th colspan="2" rowspan="1" style="width: 65px; border-right: 1px solid black !important; border-bottom: 1px solid black !important;">Unweighted</th>
<th rowspan="1" colspan="2" style="border-bottom: 1px solid black !important;">Weighted</th>

           
    </tr>  
<tr>
<th colspan="1" rowspan="1">N</th>
<th colspan="1" rowspan="1" style="border-right: 1px solid black !important;" >%</th>
<th colspan="1" rowspan="1">N</th>
<th colspan="1" rowspan="1">%</th>
</tr>  

</thead>
<tbody>
    <tr>
<td colspan=2" style="border-right: 1px solid black !important; border-bottom: 1px solid black !important;">Age (Mean)</td>
    <td style="text-align: center !important; border-bottom: 1px solid black !important;">1552</td>
      <td style="border-right: 1px solid black !important; border-bottom: 1px solid black !important;">48.6 yrs</td>
<td rowspan="1" style="text-align: center; border-bottom: 1px solid black !important;">1571</td>
<td rowspan="1" style="text-align: center; border-bottom: 1px solid black !important;">49.8 yrs</td>
     </tr>

<tr>
    <td rowspan="3" style="border-right: 1px solid black !important; border-bottom: 1px solid black !important;">Gender</td>
    <td rowspan="1" style="border-right: 1px solid black !important;">Woman</td>
 <td rowspan="1" style="text-align: center;">937</td>

<td rowspan="1" style="text-align: center; border-right: 1px solid black !important;">60.4%</td>

<td rowspan="1" style="text-align: center;">813</td>
<td rowspan="1" style="text-align: center;">51.8%</td>

</tr>
 <tr>
    <td rowspan="1" style="border-right: 1px solid black !important;">Man</td>
 <td rowspan="1" style="text-align: center;">594</td>

<td rowspan="1" style="text-align: center; border-right: 1px solid black !important;">38.3%</td>

<td rowspan="1" style="text-align: center;">735</td>
<td rowspan="1" style="text-align: center;">46.8%</td>

</tr>  
<tr>
    <td rowspan="1" style="border-bottom: 1px solid black !important; border-right: 1px solid black !important;">Another/Multiple</td>
 <td rowspan="1" style="text-align: center; border-bottom: 1px solid black !important;">21</td>

<td rowspan="1" style="text-align: center; border-bottom: 1px solid black !important; border-right: 1px solid black !important;">1.4%</td>

<td rowspan="1" style="text-align: center; border-bottom: 1px solid black !important;">22</td>
<td rowspan="1" style="text-align: center; border-bottom: 1px solid black !important;">1.4%</td>

</tr>  


<tr>
    <td rowspan="2" style="border-right: 1px solid black !important; border-bottom: 1px solid black !important;">Race/Ethicity</td>
    <td rowspan="1" style="border-right: 1px solid black !important;">White (non-Hispanic/non-Black)</td>
 <td rowspan="1" style="text-align: center;">797</td>

<td rowspan="1" style="text-align: center; border-right: 1px solid black !important;">51.4%</td>

<td rowspan="1" style="text-align: center;">1295</td>
<td rowspan="1" style="text-align: center;">82.4%</td>

</tr>
 
<tr>
    <td rowspan="1" style="border-bottom: 1px solid black !important; border-right: 1px solid black !important;">Black (non-White) [5.3% Hispanic]</td>
 <td rowspan="1" style="text-align: center; border-bottom: 1px solid black !important;">755</td>

<td rowspan="1" style="text-align: center; border-bottom: 1px solid black !important; border-right: 1px solid black !important;">48.6%</td>

<td rowspan="1" style="text-align: center; border-bottom: 1px solid black !important;">276</td>
<td rowspan="1" style="text-align: center; border-bottom: 1px solid black !important;">17.6%</td>

</tr>  


<tr>
    <td rowspan="5" style="border-right: 1px solid black !important; border-bottom: 1px solid black !important;">Political Party</td>
    <td rowspan="1" style="border-right: 1px solid black !important;">Republican</td>
 <td rowspan="1" style="text-align: center;">333</td>
<td rowspan="1" style="text-align: center; border-right: 1px solid black !important;">21.5%</td>
<td rowspan="1" style="text-align: center;">518</td>
<td rowspan="1" style="text-align: center;">33.0%</td>

</tr>
 
 <tr>
    <td rowspan="1" style="border-right: 1px solid black !important;">Democrat</td>
 <td rowspan="1" style="text-align: center;">612</td>

<td rowspan="1" style="text-align: center; border-right: 1px solid black !important;">39.4%</td>

<td rowspan="1" style="text-align: center;">495</td>
<td rowspan="1" style="text-align: center;">31.5%</td>

</tr>  

 <tr>
    <td rowspan="1" style="border-right: 1px solid black !important;">Independent</td>
 <td rowspan="1" style="text-align: center;">368</td>

<td rowspan="1" style="text-align: center; border-right: 1px solid black !important;">23.7%</td>

<td rowspan="1" style="text-align: center;">383</td>
<td rowspan="1" style="text-align: center;">24.4%</td>

</tr>  

<tr>
    <td rowspan="1" style="border-right: 1px solid black !important;">Another Party</td>
 <td rowspan="1" style="text-align: center;">38</td>

<td rowspan="1" style="text-align: center; border-right: 1px solid black !important;">2.4%</td>

<td rowspan="1" style="text-align: center;">35</td>
<td rowspan="1" style="text-align: center;">2.2%</td>

</tr>  

<tr>
    <td rowspan="1" style="border-bottom: 1px solid black !important; border-right: 1px solid black !important;">No Preference</td>
 <td rowspan="1" style="text-align: center; border-bottom: 1px solid black !important;">201</td>

<td rowspan="1" style="text-align: center; border-bottom: 1px solid black !important; border-right: 1px solid black !important;">13.0%</td>

<td rowspan="1" style="text-align: center; border-bottom: 1px solid black !important;">139</td>
<td rowspan="1" style="text-align: center; border-bottom: 1px solid black !important;">8.9%</td>

</tr>  





<tr>
    <td rowspan="8" style="border-right: 1px solid black !important; border-bottom: 1px solid black !important;">Household Income</td>
    <td rowspan="1" style="border-right: 1px solid black !important;">$0 &#8211; $24,999</td>
 <td rowspan="1" style="text-align: center;">211</td>

<td rowspan="1" style="text-align: center; border-right: 1px solid black !important;">13.6%</td>

<td rowspan="1" style="text-align: center;">192</td>
<td rowspan="1" style="text-align: center;">12.2%</td>

</tr>
 
 <tr>
    <td rowspan="1" style="border-right: 1px solid black !important;">$25,000 &#8211; $49,999</td>
 <td rowspan="1" style="text-align: center;">329</td>

<td rowspan="1" style="text-align: center; border-right: 1px solid black !important;">21.2%</td>

<td rowspan="1" style="text-align: center;">290</td>
<td rowspan="1" style="text-align: center;">18.5%</td>

</tr>  

 <tr>
    <td rowspan="1" style="border-right: 1px solid black !important;">$50,000 &#8211; $74,999</td>
 <td rowspan="1" style="text-align: center;">314</td>

<td rowspan="1" style="text-align: center; border-right: 1px solid black !important;">20.2%</td>

<td rowspan="1" style="text-align: center;">309</td>
<td rowspan="1" style="text-align: center;">19.7%</td>

</tr>  

<tr>
    <td rowspan="1" style="border-right: 1px solid black !important;">$75,000 &#8211; $99,999</td>
 <td rowspan="1" style="text-align: center;">241</td>

<td rowspan="1" style="text-align: center; border-right: 1px solid black !important;">15.5%</td>

<td rowspan="1" style="text-align: center;">238</td>
<td rowspan="1" style="text-align: center;">15.1%</td>

</tr>  

<tr>
    <td rowspan="1" style="border-right: 1px solid black !important;">$100,000 &#8211; $124,999</td>
 <td rowspan="1" style="text-align: center;">142</td>

<td rowspan="1" style="text-align: center; border-right: 1px solid black !important;">9.1%</td>

<td rowspan="1" style="text-align: center;">161</td>
<td rowspan="1" style="text-align: center;">10.3%</td>

</tr>  

<tr>
    <td rowspan="1" style="border-right: 1px solid black !important;">$125,000 &#8211; $149,999</td>
 <td rowspan="1" style="text-align: center;">93</td>

<td rowspan="1" style="text-align: center; border-right: 1px solid black !important;">6.0%</td>

<td rowspan="1" style="text-align: center;">110</td>
<td rowspan="1" style="text-align: center;">7.0%</td>

</tr>  

<tr>
    <td rowspan="1" style="border-right: 1px solid black !important;">$150,000 or more</td>
 <td rowspan="1" style="text-align: center;">218</td>

<td rowspan="1" style="text-align: center; border-right: 1px solid black !important;">14.0%</td>

<td rowspan="1" style="text-align: center;">265</td>
<td rowspan="1" style="text-align: center;">16.9%</td>

</tr>  

<tr>
    <td rowspan="1" style="border-bottom: 1px solid black !important; border-right: 1px solid black !important;">Refused</td>
 <td rowspan="1" style="text-align: center; border-bottom: 1px solid black !important;">4</td>

<td rowspan="1" style="text-align: center; border-bottom: 1px solid black !important; border-right: 1px solid black !important;">0.3%</td>

<td rowspan="1" style="text-align: center; border-bottom: 1px solid black !important;">6</td>
<td rowspan="1" style="text-align: center; border-bottom: 1px solid black !important;">0.4%</td>

</tr>  




<tr>
    <td rowspan="9" style="border-right: 1px solid black !important; border-bottom: 1px solid black !important;">Employment Status</td>
    <td rowspan="1" style="border-right: 1px solid black !important;">Employed Full-time (36+ hrs/week)</td>
 <td rowspan="1" style="text-align: center;">817</td>

<td rowspan="1" style="text-align: center; border-right: 1px solid black !important;">52.6%</td>

<td rowspan="1" style="text-align: center;">747</td>
<td rowspan="1" style="text-align: center;">47.5%</td>

</tr>
 
 <tr>
    <td rowspan="1" style="border-right: 1px solid black !important;">Unemployed</td>
 <td rowspan="1" style="text-align: center;">105</td>

<td rowspan="1" style="text-align: center; border-right: 1px solid black !important;">6.8%</td>

<td rowspan="1" style="text-align: center;">108</td>
<td rowspan="1" style="text-align: center;">6.9%</td>

</tr>  

 <tr>
    <td rowspan="1" style="border-right: 1px solid black !important;">Retired</td>
 <td rowspan="1" style="text-align: center;">312</td>

<td rowspan="1" style="text-align: center; border-right: 1px solid black !important;">20.1%</td>

<td rowspan="1" style="text-align: center;">382</td>
<td rowspan="1" style="text-align: center;">24.3%</td>

</tr>  

<tr>
    <td rowspan="1" style="border-right: 1px solid black !important;">Student only</td>
 <td rowspan="1" style="text-align: center;">35</td>

<td rowspan="1" style="text-align: center; border-right: 1px solid black !important;">2.3%</td>

<td rowspan="1" style="text-align: center;">34</td>
<td rowspan="1" style="text-align: center;">2.2%</td>

</tr>  

<tr>
    <td rowspan="1" style="border-right: 1px solid black !important;">Student also employed</td>
 <td rowspan="1" style="text-align: center;">25</td>

<td rowspan="1" style="text-align: center; border-right: 1px solid black !important;">1.6%</td>

<td rowspan="1" style="text-align: center;">31</td>
<td rowspan="1" style="text-align: center;">2.0%</td>

</tr>  

<tr>
    <td rowspan="1" style="border-right: 1px solid black !important;">Full-time homemaker</td>
 <td rowspan="1" style="text-align: center;">63</td>

<td rowspan="1" style="text-align: center; border-right: 1px solid black !important;">4.1%</td>

<td rowspan="1" style="text-align: center;">74</td>
<td rowspan="1" style="text-align: center;">4.7%</td>

</tr>  

<tr>
    <td rowspan="1" style="border-right: 1px solid black !important;">Employed Part-time (<36 hrs/week)</td>
 <td rowspan="1" style="text-align: center;">138</td>

<td rowspan="1" style="text-align: center; border-right: 1px solid black !important;">8.9%</td>

<td rowspan="1" style="text-align: center;">139</td>
<td rowspan="1" style="text-align: center;">8.9%</td>

</tr>  

<tr>
    <td rowspan="1" style="border-right: 1px solid black !important;">Other</td>
 <td rowspan="1" style="text-align: center;">57</td>

<td rowspan="1" style="text-align: center; border-right: 1px solid black !important;">3.7%</td>

<td rowspan="1" style="text-align: center;">56</td>
<td rowspan="1" style="text-align: center;">3.6%</td>

</tr>  

<tr>
    <td rowspan="1" style="border-bottom: 1px solid black !important; border-right: 1px solid black !important;">Disabled/Handicapped</td>
 <td rowspan="1" style="text-align: center; border-bottom: 1px solid black !important;">0</td>

<td rowspan="1" style="text-align: center; border-bottom: 1px solid black !important; border-right: 1px solid black !important;">0.0%</td>

<td rowspan="1" style="text-align: center; border-bottom: 1px solid black !important;">0</td>
<td rowspan="1" style="text-align: center; border-bottom: 1px solid black !important;">0.0%</td>

</tr>  





<tr>
    <td rowspan="5" style="border-right: 1px solid black !important;">Children in Household</td>
    <td rowspan="1" style="border-right: 1px solid black !important;">No children</td>
 <td rowspan="1" style="text-align: center;">971</td>

<td rowspan="1" style="text-align: center; border-right: 1px solid black !important;">62.6%</td>

<td rowspan="1" style="text-align: center;">1088</td>
<td rowspan="1" style="text-align: center;">69.2%</td>

</tr>
 
 <tr>
    <td rowspan="1" style="border-right: 1px solid black !important;">1 child</td>
 <td rowspan="1" style="text-align: center;">258</td>

<td rowspan="1" style="text-align: center; border-right: 1px solid black !important;">16.6%</td>

<td rowspan="1" style="text-align: center;">221</td>
<td rowspan="1" style="text-align: center;">14.1%</td>

</tr>  

 <tr>
    <td rowspan="1" style="border-right: 1px solid black !important;">2 children</td>
 <td rowspan="1" style="text-align: center;">181</td>

<td rowspan="1" style="text-align: center; border-right: 1px solid black !important;">11.7%</td>

<td rowspan="1" style="text-align: center;">150</td>
<td rowspan="1" style="text-align: center;">9.5%</td>

</tr>  

<tr>
    <td rowspan="1" style="border-right: 1px solid black !important;">3 or more children</td>
 <td rowspan="1" style="text-align: center;">141</td>

<td rowspan="1" style="text-align: center; border-right: 1px solid black !important;">9.1%</td>

<td rowspan="1" style="text-align: center;">111</td>
<td rowspan="1" style="text-align: center;">7.1%</td>

</tr>  




<tr>
    <td rowspan="1" style="border-right: 1px solid black !important;">Refused</td>
 <td rowspan="1" style="text-align: center;">1</td>

<td rowspan="1" style="text-align: center; border-right: 1px solid black !important;">0.1%</td>

<td rowspan="1" style="text-align: center;">1</td>
<td rowspan="1" style="text-align: center;">0.1%</td>

</tr>  


</tbody>
</table>
</div>



<p>This research was conducted through the <a href="https://commhsp.org/" target="_blank" rel="noreferrer noopener">Collaborative on Media and Messaging for Health and Social Policy</a> and included contributions from Drs. Jamila Michener, Sarah Gollust, Jeff Niederdeppe, Norman Porticella, and Erika Franklin Fowler.&nbsp;</p>



<p><em>Support for this research was provided by the Robert Wood Johnson Foundation (grant #79754). The views expressed here do not necessarily reflect the views of the Foundation.</em></p>



<p></p>
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		<title>Those most willing to address health disparities tend to be overlooked</title>
		<link>https://commhsp.org/those-most-willing-to-address-health-disparities-tend-to-be-overlooked/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=those-most-willing-to-address-health-disparities-tend-to-be-overlooked</link>
		
		<dc:creator><![CDATA[commhsp]]></dc:creator>
		<pubDate>Thu, 08 May 2025 14:14:57 +0000</pubDate>
				<category><![CDATA[Uncategorized]]></category>
		<guid isPermaLink="false">https://commhsp.org/?p=1220</guid>

					<description><![CDATA[By Tom Fleischman, Cornell Chronicle During the pandemic, the Centers for Disease Control and Prevention (CDC) reported that people from historically marginalized racial and ethnic groups were more likely than non-Hispanic white people to be infected, be hospitalized and die from SARS-CoV-2, the virus that causes COVID-19. However, the very communities that bear the brunt [&#8230;]]]></description>
										<content:encoded><![CDATA[
<p>By <a href="mailto:tjf85@cornell.edu" target="_blank" rel="noreferrer noopener">Tom Fleischman</a>, <a href="https://news.cornell.edu/stories/2025/05/those-most-willing-address-health-disparities-tend-be-overlooked" target="_blank" rel="noreferrer noopener">Cornell Chronicle</a></p>



<p>During the pandemic, the Centers for Disease Control and Prevention (CDC) reported that people from historically marginalized racial and ethnic groups were more likely than non-Hispanic white people to be infected, be hospitalized and die from SARS-CoV-2, the virus that causes COVID-19.</p>



<span id="more-1220"></span>



<p>However, the very communities that bear the brunt of those disparities are underrepresented in scientific efforts to understand them. A multidisciplinary team of researchers from Cornell conducted a pair of experiments that examined the consequences of such omissions.</p>



<p>The key finding:&nbsp;By prioritizing the perspectives of white Americans, studies of pandemic disparities likely missed important insights. They also found that members of&nbsp;underrepresented groups were the most willing to engage in both individual and collective efforts at solving health disparities.</p>



<p>“I’ve been studying collective-action problems, and how misperceptions about what different groups of people think makes it harder to actually bring them together to work on these issues,” said&nbsp;<a href="https://cals.cornell.edu/neil-lewis-jr">Neil Lewis Jr. ’13</a>, associate professor of communication and a Nancy and Peter Meinig Family Investigator in the Life Sciences, in the College of Agriculture and Life Sciences (CALS) and at Weill Cornell Medicine.&nbsp;“So by documenting where these different groups stand, it becomes more clear that there are a lot more people willing to work on this than you might have thought, and you can go out and mobilize those people to create change.”</p>



<p>Lewis is co-corresponding author of “<a href="https://www.sciencedirect.com/science/article/pii/S0277953625004265">Beyond Fear of Backlash: Effects of Messages About Structural Drivers of COVID-19 Disparities Among Large Samples of Asian, Black, Hispanic, and White Americans</a>,” which published April 24 in&nbsp;Social Science &amp; Medicine. The other corresponding author is&nbsp;<a href="https://cals.cornell.edu/norman-porticella">Norman Porticella, Ph.D. ’10</a>, a research associate in the Department of Communication (CALS).</p>



<p>Other contributors included&nbsp;<a href="https://publicpolicy.cornell.edu/people/colleen-barry/">Colleen Barry</a>, dean of the Cornell Jeb E. Brooks School of Public Policy;&nbsp;<a href="https://government.cornell.edu/jamila-michener">Jamila Michener</a>, associate professor of government in the College of Arts and Sciences, and senior associate dean for public engagement (Brooks School); and&nbsp;<a href="https://cals.cornell.edu/jeff-niederdeppe">Jeff Niederdeppe</a>, the Liberty Hyde Bailey Professor of Communication (CALS) and senior associate dean for faculty development (Brooks School).</p>



<p>The team conducted two survey experiments to test the impact of messages about racial health disparities. Participants were from the four largest racial and ethnic groups in America – Asian, Black, Hispanic and white. The Hispanic group was further broken down into Hispanic white and Hispanic non-white.</p>



<p>In both studies, participants were randomly assigned to view either a message simply describing racial disparities in the health impacts of COVID, similar to past news coverage and studies (control group), or the same message that added context about the structural factors underlying the disparities (intervention group), such as: “These differences in COVID-19 infections and deaths are due to longstanding patterns of discrimination … that history continues to shape modern life.”</p>



<p>After reading their respective messages, participants responded to a series of questions or statements that revealed their beliefs about causes and accountability for the racial disparities, emotional responses, and their support and intentions to advocate for COVID mitigation policies. The second experiment sought to replicate the first with a larger sample of U.S. adults from the same four racial and ethnic groups.</p>



<p>The experiments also showed that the intervention message could bolster beliefs that COVID-19 racial disparities were driven by structural causes, as well as increase support for mitigation policies. In addition, regardless of which message they read, Black, Hispanic and Asian respondents were more willing than their white counterparts to engage in actions to address disparities.</p>



<p>The team has conducted similar research investigating attitudes related to the child tax credit, and is currently examining these attitudes in the contexts of Medicaid, opioid addiction and treatment, and the unequal effects of climate change. According to Niederdeppe, the key to shifting attitudes is by doing more than just saying, “There is a problem.”</p>



<p>“We invite people in through connecting on shared values,” he said. “We provide explanations that try to pull people out of stereotypical attributions of an issue. And I think, critically, we say, ‘Look, there are policies that we know can address these inequalities; this is not an insurmountable problem. We just have to choose to work on it together.’”</p>



<p>Porticella said this line of research is revealing “a lot of potential for change within those who are disproportionately affected – people who, as it turns out, are quite responsive to these messages.”</p>



<p>The researchers found that, contrary to frequent claims about the dangers of talking about racial inequality, they did not find evidence of a so-called “white backlash” when the discussion includes an explanation of why the disparity exists.</p>



<p>“There’s been a lot of research showing that when you discuss disparities without context, Americans end up having these individualized and stereotypical attributions – ‘There must be something wrong with those people; why are these bad things happening to them?’”&nbsp;said Lewis, who’s also co-director of the&nbsp;<a href="https://arc.bctr.cornell.edu/">Action Research Collaborative</a>. “And so we wondered whether, if you provide more of the context around why these disparities are happening – the structural drivers of these disparities – might that mitigate some of these backlash effects?”</p>



<p>The team also included&nbsp;Teairah Taylor, M.S. ’22, doctoral student in the field of communication; and researchers from the University of Florida, the University of Minnesota and Wesleyan University.</p>



<p>Support for this research came from the Robert Wood Johnson Foundation.</p>
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		<title>Strengthening Local Journalism’s Role in Public Health: Key Takeaways from Our March 5 Panel</title>
		<link>https://commhsp.org/strengthening-local-journalisms-role-in-public-health-key-takeaways-from-our-march-5-panel/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=strengthening-local-journalisms-role-in-public-health-key-takeaways-from-our-march-5-panel</link>
		
		<dc:creator><![CDATA[commhsp]]></dc:creator>
		<pubDate>Tue, 01 Apr 2025 21:29:58 +0000</pubDate>
				<category><![CDATA[Uncategorized]]></category>
		<guid isPermaLink="false">https://commhsp.org/?p=1192</guid>

					<description><![CDATA[On a cold, snowy evening in Minneapolis, a dedicated crowd gathered at The Market at Malcolm Yards for a vital conversation: How can local journalism better serve public health? Despite the winter weather, the warmth of engaged discussion filled the room as journalists, public health professionals, and community members came together to explore the challenges [&#8230;]]]></description>
										<content:encoded><![CDATA[
<p>On a cold, snowy evening in Minneapolis, a dedicated crowd gathered at The Market at Malcolm Yards for a vital conversation: <em>How can local journalism better serve public health?</em> Despite the winter weather, the warmth of engaged discussion filled the room as journalists, public health professionals, and community members came together to explore the challenges and opportunities in health reporting.</p>



<span id="more-1192"></span>



<p>Co-hosted by our team and the University of Minnesota’s Hubbard School of Journalism and Mass Communication and <a href="https://www.google.com/url?q=https://hsjmc.umn.edu/research-centers/centers/minnesota-journalism-center&amp;sa=D&amp;source=docs&amp;ust=1743545922819123" target="_blank" rel="noreferrer noopener">the Minnesota Journalism Center</a>, the event brought together <strong>top health journalists—Joanne Kenen (Politico, Johns Hopkins), Dené Dryden (Rochester Post Bulletin), and Sheila Eldred (Sahan Journal)</strong>—with <strong>MPR’s Nina Moini</strong> skillfully moderating the discussion.</p>



<h4 class="wp-block-heading"><strong>Building Bridges Between Journalists and Public Health Experts</strong></h4>



<p>The panelists agreed that <strong>stronger relationships between journalists and public health practitioners</strong> are essential for better reporting. Key takeaways included:</p>



<ul class="wp-block-list">
<li><strong>Long-term relationships</strong> with researchers and policymakers lead to deeper, more nuanced stories, moving beyond crisis-only coverage.</li>



<li><strong>Trust takes time</strong>, especially in communities that have been historically mis- or under-represented. Journalists should prioritize ethical, ongoing engagement with sources.</li>



<li><strong>Practical challenges</strong>—like tight deadlines and shrinking newsroom resources—mean public health experts can help by being accessible and proactive in sharing their expertise on timelines that meet journalists’ reporting needs.</li>
</ul>



<h4 class="wp-block-heading"><strong>Shared Challenges, Shared Solutions</strong></h4>



<p>The discussion highlighted how both journalists and public health professionals face <strong>similar systemic hurdles</strong>, including funding cuts, institutional barriers, declines in public trust, and the spread of misinformation. The panel emphasized:</p>



<ul class="wp-block-list">
<li><strong>The need for clear communication</strong>—public health research should be presented accessibly, while journalists must balance accuracy with engaging storytelling.</li>



<li><strong>The role of local media in combating misinformation</strong>, particularly in underserved communities where trust in institutions may be low.</li>
</ul>



<h4 class="wp-block-heading"><strong>A Room Full of Passionate Practitioners</strong></h4>



<p>The audience reflected the intersection of journalism and public health, with health reporters, public health researchers, and communications professionals sparking thoughtful dialogue. The energy in the room was palpable—proof that these conversations matter.</p>



<p>Even after the panel ended, networking continued, with new connections forming over shared goals. It was clear that attendees left with fresh ideas—and a renewed commitment to strengthening the relationship between journalism and public health.</p>



<h4 class="wp-block-heading"><strong>Final Thoughts: The Work Continues</strong></h4>



<p>The event underscored that strong local journalism is essential for public health, but it requires partnership, trust, and persistence. As newsrooms and health institutions navigate challenges, events like this remind us that better collaboration leads to better outcomes for communities.</p>



<p>We’re grateful to our panelists, moderator, and attendees for braving the snow to make this conversation happen. If you missed it, stay tuned—because this dialogue is just getting started.</p>



<p>(Check out some great moments from the event below!)&nbsp;</p>



<figure class="wp-block-gallery has-nested-images columns-default is-cropped wp-block-gallery-1 is-layout-flex wp-block-gallery-is-layout-flex">
<figure class="wp-block-image size-large"><img loading="lazy" decoding="async" width="1024" height="683" data-id="1196" src="https://commhsp.org/wp-content/uploads/2025/04/20250305_COMMHSP-HSJMC_5398_web-1024x683.jpg" alt="" class="wp-image-1196" srcset="https://commhsp.org/wp-content/uploads/2025/04/20250305_COMMHSP-HSJMC_5398_web-1024x683.jpg 1024w, https://commhsp.org/wp-content/uploads/2025/04/20250305_COMMHSP-HSJMC_5398_web-300x200.jpg 300w, https://commhsp.org/wp-content/uploads/2025/04/20250305_COMMHSP-HSJMC_5398_web-768x512.jpg 768w, https://commhsp.org/wp-content/uploads/2025/04/20250305_COMMHSP-HSJMC_5398_web.jpg 1500w" sizes="(max-width: 1024px) 100vw, 1024px" /></figure>



<figure class="wp-block-image size-large"><img loading="lazy" decoding="async" width="1024" height="683" data-id="1194" src="https://commhsp.org/wp-content/uploads/2025/04/20250305_COMMHSP-HSJMC_6574_web-1024x683.jpg" alt="" class="wp-image-1194" srcset="https://commhsp.org/wp-content/uploads/2025/04/20250305_COMMHSP-HSJMC_6574_web-1024x683.jpg 1024w, https://commhsp.org/wp-content/uploads/2025/04/20250305_COMMHSP-HSJMC_6574_web-300x200.jpg 300w, https://commhsp.org/wp-content/uploads/2025/04/20250305_COMMHSP-HSJMC_6574_web-768x512.jpg 768w, https://commhsp.org/wp-content/uploads/2025/04/20250305_COMMHSP-HSJMC_6574_web.jpg 1500w" sizes="(max-width: 1024px) 100vw, 1024px" /></figure>



<figure class="wp-block-image size-large"><img loading="lazy" decoding="async" width="1024" height="683" data-id="1198" src="https://commhsp.org/wp-content/uploads/2025/04/20250305_COMMHSP-HSJMC_6406_web-1024x683.jpg" alt="" class="wp-image-1198" srcset="https://commhsp.org/wp-content/uploads/2025/04/20250305_COMMHSP-HSJMC_6406_web-1024x683.jpg 1024w, https://commhsp.org/wp-content/uploads/2025/04/20250305_COMMHSP-HSJMC_6406_web-300x200.jpg 300w, https://commhsp.org/wp-content/uploads/2025/04/20250305_COMMHSP-HSJMC_6406_web-768x512.jpg 768w, https://commhsp.org/wp-content/uploads/2025/04/20250305_COMMHSP-HSJMC_6406_web.jpg 1500w" sizes="(max-width: 1024px) 100vw, 1024px" /></figure>



<figure class="wp-block-image size-large"><img loading="lazy" decoding="async" width="1024" height="683" data-id="1195" src="https://commhsp.org/wp-content/uploads/2025/04/20250305_COMMHSP-HSJMC_6502_web-1024x683.jpg" alt="" class="wp-image-1195" srcset="https://commhsp.org/wp-content/uploads/2025/04/20250305_COMMHSP-HSJMC_6502_web-1024x683.jpg 1024w, https://commhsp.org/wp-content/uploads/2025/04/20250305_COMMHSP-HSJMC_6502_web-300x200.jpg 300w, https://commhsp.org/wp-content/uploads/2025/04/20250305_COMMHSP-HSJMC_6502_web-768x512.jpg 768w, https://commhsp.org/wp-content/uploads/2025/04/20250305_COMMHSP-HSJMC_6502_web.jpg 1500w" sizes="(max-width: 1024px) 100vw, 1024px" /></figure>



<figure class="wp-block-image size-large"><img loading="lazy" decoding="async" width="1024" height="683" data-id="1193" src="https://commhsp.org/wp-content/uploads/2025/04/20250305_COMMHSP-HSJMC_5158_web-1024x683.jpg" alt="" class="wp-image-1193" srcset="https://commhsp.org/wp-content/uploads/2025/04/20250305_COMMHSP-HSJMC_5158_web-1024x683.jpg 1024w, https://commhsp.org/wp-content/uploads/2025/04/20250305_COMMHSP-HSJMC_5158_web-300x200.jpg 300w, https://commhsp.org/wp-content/uploads/2025/04/20250305_COMMHSP-HSJMC_5158_web-768x512.jpg 768w, https://commhsp.org/wp-content/uploads/2025/04/20250305_COMMHSP-HSJMC_5158_web.jpg 1500w" sizes="(max-width: 1024px) 100vw, 1024px" /></figure>



<figure class="wp-block-image size-large"><img loading="lazy" decoding="async" width="1024" height="683" data-id="1199" src="https://commhsp.org/wp-content/uploads/2025/04/20250305_COMMHSP-HSJMC_5032_web-1024x683.jpg" alt="" class="wp-image-1199" srcset="https://commhsp.org/wp-content/uploads/2025/04/20250305_COMMHSP-HSJMC_5032_web-1024x683.jpg 1024w, https://commhsp.org/wp-content/uploads/2025/04/20250305_COMMHSP-HSJMC_5032_web-300x200.jpg 300w, https://commhsp.org/wp-content/uploads/2025/04/20250305_COMMHSP-HSJMC_5032_web-768x512.jpg 768w, https://commhsp.org/wp-content/uploads/2025/04/20250305_COMMHSP-HSJMC_5032_web.jpg 1500w" sizes="(max-width: 1024px) 100vw, 1024px" /></figure>



<figure class="wp-block-image size-large"><img loading="lazy" decoding="async" width="1024" height="683" data-id="1197" src="https://commhsp.org/wp-content/uploads/2025/04/20250305_COMMHSP-HSJMC_6642_web-1024x683.jpg" alt="" class="wp-image-1197" srcset="https://commhsp.org/wp-content/uploads/2025/04/20250305_COMMHSP-HSJMC_6642_web-1024x683.jpg 1024w, https://commhsp.org/wp-content/uploads/2025/04/20250305_COMMHSP-HSJMC_6642_web-300x200.jpg 300w, https://commhsp.org/wp-content/uploads/2025/04/20250305_COMMHSP-HSJMC_6642_web-768x512.jpg 768w, https://commhsp.org/wp-content/uploads/2025/04/20250305_COMMHSP-HSJMC_6642_web.jpg 1500w" sizes="(max-width: 1024px) 100vw, 1024px" /></figure>
</figure>
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