{"title":"'Not for me': Reasons for (non)participation in science communication activities on Artificial Intelligence in the Netherlands.","authors":"Anne M Dijkstra, Pien Spanjaard","doi":"10.1177/09636625261486785","DOIUrl":"https://doi.org/10.1177/09636625261486785","url":null,"abstract":"<p><p>Artificial intelligence operates in a social context and affects everyone. Organizing science communication and engagement activities on the topic for all groups in society is therefore recommendable. However, research shows that mainly higher educated, already engaged citizens participate in science communication activities. To address this gap, our study collected insights from underrepresented citizens in the Netherlands regarding their views on and participation in science communication activities related to artificial intelligence. Using semi-structured interviews (n = 19), we qualitatively explored reasons for (non)participation. Participants knew more about AI than they initially reported, and worldviews were evoked in expressing both concerns and curiosity about AI. AI was deemed relevant but news about the topic was avoided due to a lack of trust. Non participation in engagement or communication activity was driven by both practical and social barriers. Following participants' advice, we suggest a personal approach could help to make these activities more inviting.</p>","PeriodicalId":48094,"journal":{"name":"Public Understanding of Science","volume":" ","pages":"9636625261486785"},"PeriodicalIF":4.3,"publicationDate":"2026-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149069745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Vaccine framing dynamics: Media influence, social media sharing, and public sensemaking during a crisis.","authors":"Austin Y Hubner","doi":"10.1177/09636625261477232","DOIUrl":"https://doi.org/10.1177/09636625261477232","url":null,"abstract":"<p><p>During crises like the COVID-19 pandemic, information dissemination and sensemaking processes profoundly shape public perceptions. This study investigates the intricate interplay between media framing, social media sharing, and individual reinterpretation of COVID-19 vaccination news on Facebook. Analyzing 1957 articles from <i>The New York Times</i> (NYT) over 2 years, the research delves into news framing dynamics and their influence on Facebook sharing patterns. Findings reveal eight frames used by journalists, with a focus on scientific development, political controversy, and societal impact. Notably, the anti-vaccination frame received the highest number of shares per article. I also explored the content of the individual shares examining how individuals changed the information provided by the NYT during the sharing process.</p>","PeriodicalId":48094,"journal":{"name":"Public Understanding of Science","volume":" ","pages":"9636625261477232"},"PeriodicalIF":4.3,"publicationDate":"2026-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149069851","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Commercial entanglements and online visibility: University priorities and the making of scientific legitimacy.","authors":"Alexis Walker, Hanna Goldberg","doi":"10.1177/09636625261475481","DOIUrl":"https://doi.org/10.1177/09636625261475481","url":null,"abstract":"<p><p>Universities in many parts of the world now encourage faculty to patent inventions, launch start-ups, and promote their work via online platforms. Through commercialization support and the inclusion of social media metrics in tenure reviews, they have cultivated forms of scientific life oriented toward market ties and Internet visibility. Technology transfer offices support the development of discoveries from academic labs into faculty-led ventures and (often exclusive) licensing partnerships-as in the case of epigenetic age tests examined here. The paper traces how these research tools were transformed into consumer products promoted on social media by researchers at elite US universities. In doing so, it shows how university policies and programs enable forms of scientific authority rooted in public performance and market traction. These developments are reshaping academic legitimacy, as forms of authority most easily amplified online gain institutional validation through engagement and impact metrics-often promoting charismatic, entrepreneurial, gendered performances of expertise.</p>","PeriodicalId":48094,"journal":{"name":"Public Understanding of Science","volume":" ","pages":"9636625261475481"},"PeriodicalIF":4.3,"publicationDate":"2026-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148978397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Finja Isabel Augsburg, Fabian Prochazka, Eva Thomm, Johannes Bauer
{"title":"Communicating scientific uncertainty: Exploring science journalists' understandings, challenges, and strategies.","authors":"Finja Isabel Augsburg, Fabian Prochazka, Eva Thomm, Johannes Bauer","doi":"10.1177/09636625261484418","DOIUrl":"https://doi.org/10.1177/09636625261484418","url":null,"abstract":"<p><p>Science journalists are central intermediaries in communicating the uncertainties of science to the public. Socio-scientific issues like COVID-19 and climate change highlight the importance of addressing uncertainties to support informed decision-making while underscoring the complexities involved. Based on 13 semi-structured interviews with science journalists, this study links their conceptual understanding of scientific uncertainty to the strategies and challenges they face in communicating it. Results suggest that journalists primarily see uncertainty as the inability of science to provide simple answers to complex questions due to limited or conflicting evidence. They emphasize uncertainty's dual role: it helps explain how science generates knowledge and fosters trust when communicated effectively, yet it also causes confusion, frustration, and loss of trust if communicated poorly. Maintaining trust in science and journalism thus emerges as the meta-challenge in reporting uncertainty, for which journalists describe nine strategies, including contextualizing uncertainty and prioritizing realistic assessments over amplifying controversy.</p>","PeriodicalId":48094,"journal":{"name":"Public Understanding of Science","volume":" ","pages":"9636625261484418"},"PeriodicalIF":4.3,"publicationDate":"2026-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148977419","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Worldviews and public attitudes toward gene-edited foods in Japan.","authors":"Tomiko Yamaguchi, Ildeung Na","doi":"10.1177/09636625261479618","DOIUrl":"https://doi.org/10.1177/09636625261479618","url":null,"abstract":"<p><p>This study examines public attitudes toward gene-edited foods in Japan, focusing on how underlying worldviews shape these responses. Drawing on a national survey and a latent class segmentation model based on 23 worldview variables, we identify four distinct segments: Communitarian, Environmentalist, Governmentalist, and Individualist. The findings indicate modest rather than sharply polarized differences in attitudes, with the Communitarian and Environmentalist segments expressing greater caution than the Governmentalist and Individualist segments. Across all four segments, gene-edited foods are broadly perceived as unnatural, yet support for commercialization remains comparatively high, suggesting that perceptions of unnaturalness do not necessarily translate into strong opposition to commercialization. This pattern suggests that evaluations of gene-edited foods are shaped by multiple normative considerations, in which moral or symbolic concerns coexist with pragmatic judgments about societal benefits and technological governance. These findings suggest that similar levels of support or skepticism can emerge from differing normative orientations.</p>","PeriodicalId":48094,"journal":{"name":"Public Understanding of Science","volume":" ","pages":"9636625261479618"},"PeriodicalIF":4.3,"publicationDate":"2026-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148889101","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Apolitical referee or geopolitical actor? How artificial intelligence's national-origin labels shape credibility in politicized science communication.","authors":"Junyi Chen, Weixi Zeng, Yi Mou","doi":"10.1177/09636625261477314","DOIUrl":"https://doi.org/10.1177/09636625261477314","url":null,"abstract":"<p><p>Amid the politicization of science and the globalization of technological applications, does the national-origin label of artificial intelligence authors affect their perceived credibility? Drawing on the tension between artificial intelligence as an apolitical referee (machine heuristic) and artificial intelligence as a geopolitical actor like humans (social identity theory and computers-are-social-actors paradigm), two online experiments were conducted in China to examine the role of author type (human, artificial intelligence, and human-artificial intelligence hybrid) and national-origin labels in scientific content with varying degrees of politicization. In a highly politicized context, domestic sources were preferred across all author types, with nationalism amplifying this preference. The effect of artificial intelligence's national-origin label was significant but weaker than that for human authors. In low-politicized contexts, the national-origin label no longer significantly affected artificial intelligence credibility, while foreign humans were perceived as more credible. These findings highlight the intersecting dynamics of scientific politicization and the public politicized understanding of artificial intelligence technology.</p>","PeriodicalId":48094,"journal":{"name":"Public Understanding of Science","volume":" ","pages":"9636625261477314"},"PeriodicalIF":4.3,"publicationDate":"2026-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148841839","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The structural contingency model of trust: When variability in perceived trustworthiness of scientists signals critical support.","authors":"Tenzin Tamang","doi":"10.1177/09636625261475515","DOIUrl":"https://doi.org/10.1177/09636625261475515","url":null,"abstract":"<p><p>Prevailing approaches to measuring public trust in scientists rely on facet averages that overlook within-person variability, a dimension traditional views equate with ambivalence or attitudinal weakness. This study introduces the Structural Contingency Model of Trust (SCMT), proposing that the functional meaning of this variability is contingent on an individual's overall trust level. In a Bayesian analysis of survey data from 68 countries (<i>N</i> = 69,534), higher Trust Level (mean across 12 facets) strongly predicted greater general confidence in scientists. Critically, a credible interaction effect supported the SCMT: among highly trusting individuals, greater Trust Variability (variance across facets) was associated with the highest probability of reporting a great deal of confidence in scientists. This Critical Support profile suggests that variability can signify robust, differentiated engagement rather than evaluative weakness, offering a nuanced framework for understanding the complex, multidimensional nature of public trust in scientists.</p>","PeriodicalId":48094,"journal":{"name":"Public Understanding of Science","volume":" ","pages":"9636625261475515"},"PeriodicalIF":4.3,"publicationDate":"2026-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148820040","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Stop pushing junk science! User corrections of misinformation in science are common and sophisticated.","authors":"Tuomas Heikkilä","doi":"10.1177/09636625261470329","DOIUrl":"https://doi.org/10.1177/09636625261470329","url":null,"abstract":"<p><p>Misinformation is often equated with blatant falsehoods from dubious sources, overlooking that scientific sources, too, can accidentally publish inaccurate information to large online audiences. This article explores how social media users share, evaluate and address misinformation in science, defined as unreliable research rejected by relevant experts for violating scientific integrity. Using a mixed-methods analysis of Twitter discussions on retracted COVID-19 studies (33,730 tweets and 13,743 replies), the study found that, while most users accepted retracted science at face value, they were also disputed often, with user corrections accounting for nearly half of all replies. Corrections also closely mirrored established experimental recommendations, being mostly elaborative, non-confrontational, and commonly employed one or more debunking strategies. In contrast, polarising and overly convoluted language was rare. The results highlight the significant role that ordinary users play in countering unreliable science 'in the wild' and the need for researchers and policymakers to strengthen support for bottom-up corrective practices.</p>","PeriodicalId":48094,"journal":{"name":"Public Understanding of Science","volume":" ","pages":"9636625261470329"},"PeriodicalIF":4.3,"publicationDate":"2026-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148799713","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Sciences perceived as precise and consensual are more trusted.","authors":"Jan Pfänder, Hugo Mercier","doi":"10.1177/09636625261471051","DOIUrl":"https://doi.org/10.1177/09636625261471051","url":null,"abstract":"<p><p>Research focused on the United States shows that people's trust in science varies considerably between disciplines. Existing explanations of these trust gaps stress the role of ideology: when people perceive scientists of a particular discipline to be ideologically like-minded, they tend to trust them more. Here, we report two findings: first, trust gaps between disciplines also exist in France-a representative sample of the French population (N = 1012) trusted researchers in biology and physics more than researchers studying climate science, economics, or sociology. Second, the more precise and consensual participants perceive scientific findings to be, the more they tend to trust the scientists (across and within disciplines). While these findings are correlational, they align with a non-ideological explanation of trust in science: the rational impression account. This account proposes that people can come to trust scientists by relying on basic cognitive inference processes, which tend to be generally rational.</p>","PeriodicalId":48094,"journal":{"name":"Public Understanding of Science","volume":" ","pages":"9636625261471051"},"PeriodicalIF":4.3,"publicationDate":"2026-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148714294","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Measuring the crisis: Quantification-based legitimizations of public health measures and their temporal, factual, and political-social critique during the COVID-19 pandemic in Germany.","authors":"Fabian Brand","doi":"10.1177/09636625261471407","DOIUrl":"https://doi.org/10.1177/09636625261471407","url":null,"abstract":"<p><p>Quantifications played an important role during the COVID-19 pandemic, not only in providing current situational information but also in legitimizing state-imposed protective measures and restrictions. Contrary to more theoretical assumptions in the literature, however, figures or statistics were not simply accepted. This article undertakes a qualitative content analysis of user comments on Twitter (now: X) that respond to quantification-based legitimizations of state-instructed protective measures in Germany. The analysis identifies three main areas of critique: the timeliness and relevance of data, its factual accuracy, and the political implications of their use in justifying protective measures. The overlap of epistemic and normative criticism points to broader conflicts of knowledge and values, where concerns extend beyond the validity of data. The article emphasizes the importance of a reflexive approach that remains sensitive to the challenges and pitfalls of quantifications in the design of future risk and crisis communication strategies.</p>","PeriodicalId":48094,"journal":{"name":"Public Understanding of Science","volume":" ","pages":"9636625261471407"},"PeriodicalIF":4.3,"publicationDate":"2026-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148702465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}