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, it is important to understand that these phenomena do not occur in a vacuum. Rather, individuals, the communities they are a part of, and their information ecosystems are all shaped by larger societal forces.
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structural and systemic inequities. Next, we describe changes in the information ecosystems people inhabit, and the relevance of these changes for understanding misinformation about science.
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First, public access to accurate information from science has long been recognized as important for informing rational public deliberation and decision making in democratic societies (Bächtiger et al., 2018; Dewey, 1923; Habermas, 1970)
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Structural inequalities affect access to high-quality information from science.
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. Experiences with medical racism, contextualized within broader histories of violence and oppression, contribute to inequality-driven mistrust in science and medical institutions among Black Americans, which can foster resistance to evidence-based communication and provide fertile ground for misinformation (Jaiswal et al., 2020)
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Particularly for politicized scientific topics, such as climate change, people are more likely to make choices about who and what sources they deem credible based on perceived common interests or shared values (Lupia, 2013)
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In addition, many researchers who investigate public perceptions of science have drawn important distinctions between one's ability to correctly identify scientific facts (e.g., Earth orbits the sun) and one's belief that the interests of scientists are aligned with one's own interests and the interests of one's community, or that scientific institutions are trustworthy (e.g., Brossard & Lewenstein, 2010)
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SOURCE: Committee generated using data from NORC's General Social Survey Data accessed from the GSS Data Explorer website at gssdataexplorer.norc.org.
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. Public perceptions can also vary across various scientific fields and domains and across time.
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. Additionally, a similar trend with respect to educational and medical institutions has been observed, with an overall decline in trust in both insti tutions across the political spectrum since 2018, and in some cases, there are notable gaps by political ideology (Davern et al., 2024; see Figure 3-3)
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FIGURE 3-2 Trends in confidence in the scientific community based on partisan identity. SOURCE: Committee generated using data from NORC's General Social Survey Data accessed from the GSS Data Explorer website 55  at gssdataexplorer.norc.org.
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to spread more rapidly as people seek out ways to make sense of an increasingly complex world. Societal Forces That May Warrant Further Study As scientists seek to better understand the changing patterns in trust in institutions overall, other social and societal factors may warrant further study.
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SOURCE: Committee generated using data from NORC's General Social Survey Data accessed from the GSS Data Explorer website at gssdataexplorer.norc.org. for a detailed review of personal values)
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. For example, sharing of misinformation on social media may in part be driven by a desire to either maintain or build social capital within a group, although some work finds that strong social ties can also increase the effectiveness of efforts to debunk misinformation (Pasquetto et al., 2022)
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Below we discuss some of the most significant structural aspects to consider: audience fragmentation and hybrid media; the emergence of new information technologies and platforms, including artificial intelligence (AI) ; and context collapse.
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. An individual can interact with a friend or colleague in person in one moment and then on social media in the next.
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In the 21st century, the emergence of online platforms -- including certain social media applications, large search engines, and websites hosted on the internet (e.g., Abbott, 2007)  -- has enabled the creation of a large volume of content through an increasing array of creators with limited moderation, increasing personalization of content and online social groups, and the consumption of content outside of its intended contexts (i.e., context collapse -- discussed in more detail below; Kümpel, 2020)
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regulatory oversight in turn holds critical implications for the nature of the information ecosystem that individuals and communities inhabit, as various entities in that system (e.g., privately held companies that host social media platforms) have taken on management and moderation roles to varying extents and for diverse reasons that only sometimes align with the public interest.
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Though much remains to be learned about how AI will shape the information ecosystem, it has increased the public availability of online tools that generate text, audio, images, and video that accurately mimic human activity. For example, large language models (LLMs)
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. Indeed, such technological advancements have raised concerns about the role of AI in both proliferating and curtailing misinformation, as several deepfakes -- AI-generated images and videos that look real -- featuring prominent individuals have gone viral on social media (Ellery, 2023; Metz, 2021)
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Unrestricted exposure to several competing narratives, as can frequently happen in our current information ecosystem, 
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Complex Interactions and Consequences It is important to note that not all changes in the broader information environment and context of contemporary life necessarily push in the direction of greater generation, dissemination, and/or uptake of misinformation about science. Under some conditions, for example, reduced barriers to entry into the digital information space may lead to better, fairer, and more just use of valid scientific information in collective or societal decision making, while decreasing the impact of misinformation.
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. As science information is increasingly shared on social media platforms, automated algorithms based on users' personal profiles govern the visibility of this content, determining whether a given user is likely to encounter credible science information or not (Brossard & Scheufele, 2022)
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Competing Interests and Public Relations The science information environment is also increasingly competitive, particularly in the United States' diverse and decentralized information ecosystem, which has relatively low support for publicly-funded independent media (Neff & Pickard, 2021)
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. Predatory journals publish science entirely for profit and do not subject research to rigorous peer-review, essentially creating a "pay-to-play" model that can become a conduit for misinformation.
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It is also more possible than ever for people to exist in different, fragmented information ecosystems that online platforms, other media, and interpersonal spaces make possible and readily accessible. While the evidence about the extent to which people exist in echo chambers or filter bubbles is mixed, it is clear that the contemporary information ecosystem makes it more possible than ever for people to be exposed to content -- often consumed without important, original context and nuance.
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UNDERSTANDING THE CURRENT CONTEXT               71 TABLE 3-1 Contextual Features and Factors That Influence Misinformation About Science Implications for misinformation Contextual features/factors Explanation/definition  about science Systemic  Role of   A balance between the  Technological shifts make it factors  science in  credibility and social  more possible for people to shaping  society   capital of science to  disseminate information on how people      inform decision making  an equal footing with science; interact      and the power of people  misinformation can disrupt with       to make choices in a   being able to make informed information     democratic society   choices in a democracy Structural  Inequalities based on  Societal factors shape the Inequalities education level, race  information ecosystems or ethnicity, primary  that people experience; they language, or geography  can limit access to high               quality information from science, increase exposure to misinformation; and increase the potential for harm Trust in  General decline in trust  People seek or encounter institutions in many institutions,  information about science from including education,   less reliable sources medicine, and the press; political divides in trust in science and media Features  New    Social media and other  Massive changes to production, of the   information  internet-based large   dissemination, and consumption information technologies platforms emerge in late  of information about science, ecosystem  and platforms 20th/early 21st century  including entry of many new communicators who previously had limited/no access to large audiences Audience  Different audiences   Fewer very broadly shared fragmentation distributed across   trusted sources of information different media,    about science means different channels, outlets   groups can seek out and/or be exposed to very different pieces of (mis) information about science Hybrid media Information ecosystem  Science information travels consists of different  quickly across media types/ channels and media   platforms, sometimes losing or types      shifting important context that produces misinformation continued 
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     comprehension,    as well as for positive effects problem solving,   from its potential to identify decision making,   and correct misinformation or creativity and    make correct information from autonomy" (Stryker &  science more easily accessible Kavlakoglu, 2024) Factors  Quality and  Decrease in number   Decreases in locally shaping  quantity of  of dedicated science  contextualized evidence the science science news journalists; areas of information production  the country without environment     local news coverage; decreased funding for science journalism Competing  Increasingly competitive More points of entry for bad interests  science information  actors to manipulate, target, and public  environment    and amplify misinformation relations         about science Open science Growth of preprints,  Potential for negative effects movements  availability of data  from context collapse with and          scientific intramural discourse professional        and broader public discourse norms          as well as for positive effects from increasing free access to scientific information SOURCE: Committee generated.
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 Conclusion 3-2: Trust in science has declined in recent years, yet remains relatively high compared to trust in other civic institutions. Although confidence in the scientific community varies significantly by partisan identity, patterns of trust in science across demographic groups also vary as a function of the specific topic, the science organization or scientists being considered, or respective histories and experiences.
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