{"title":"When AI sees hotter: Overestimation bias in large language model climate assessments.","authors":"Tenzin Tamang, Ruilin Zheng","doi":"10.1177/09636625251351575","DOIUrl":"10.1177/09636625251351575","url":null,"abstract":"<p><p>Large language models (LLMs) have emerged as a novel form of media, capable of generating human-like text and facilitating interactive communications. However, these systems are subject to concerns regarding inherent biases, as their training on vast text corpora may encode and amplify societal biases. This study investigates overestimation bias in LLM-generated climate assessments, wherein the impacts of climate change are exaggerated relative to expert consensus. Through non-parametric statistical methods, the study compares expert ratings from the Intergovernmental Panel on Climate Change 2023 Synthesis Report with responses from GPT-family LLMs. Results indicate that LLMs systematically overestimate climate change impacts, and that this bias is more pronounced when the models are prompted in the role of a climate scientist. These findings underscore the critical need to align LLM-generated climate assessments with expert consensus to prevent misperception and foster informed public discourse.</p>","PeriodicalId":48094,"journal":{"name":"Public Understanding of Science","volume":" ","pages":"82-99"},"PeriodicalIF":3.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144620888","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":"Contesting state expertise after COVID-19.","authors":"Gabriel V Lévesque","doi":"10.1177/09636625251347063","DOIUrl":"10.1177/09636625251347063","url":null,"abstract":"<p><p>Recent research examines how the transformational experience of the COVID-19 pandemic reshapes trust in science, expertise and public institutions in its aftermath. This article extends this scholarship by asking how the transformation of societal norms about expertise induced by the pandemic experience shapes social movements that contest state expertise. Using interview data with participants from an ongoing environmental health mobilization in Rouyn-Noranda (Quebec, Canada), this article highlights how participants negotiate their precarious status as challengers of expertise in a post-COVID world. First, I examine the direct and indirect evidence of politicized expertise that participants draw on to motivate their distrust. Second, I show how participants negotiate the boundary between claims of COVID-related groups labeled as conspiracist and their own. Overall, this article contributes to better understanding how mobilized citizens navigate changing norms around trust in science.</p>","PeriodicalId":48094,"journal":{"name":"Public Understanding of Science","volume":" ","pages":"44-62"},"PeriodicalIF":4.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12741169/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144530442","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Social empathy in public deliberation.","authors":"Lauren M Lambert","doi":"10.1177/09636625251350573","DOIUrl":"10.1177/09636625251350573","url":null,"abstract":"<p><p>Scholars have increasingly turned to empathy to increase the effectiveness of participatory deliberations among individuals with diverse interests and values. However, because empathy is traditionally focused on in-group relations, deliberations in increasingly polarized contexts would benefit from ways to bridge across social groups. To address this, we apply the construct of <i>social</i> empathy. Our study explores social empathy through participatory technology assessment forums and asks: how do we incorporate, measure, and understand social empathy in public deliberations on human genome editing technology? The analysis reveals that by considering social empathy, participatory deliberation forum designers can use \"persona\" character cards and other forum infrastructure to increase the effectiveness of deliberation across social groups among individuals with diverse interests and values. For future deliberations seeking to cultivate social learning, social empathy-when designed for, integrated in, and measured through deliberations-presents an important mechanism for attention.</p>","PeriodicalId":48094,"journal":{"name":"Public Understanding of Science","volume":" ","pages":"63-81"},"PeriodicalIF":3.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144974421","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}
Rachele E Willard, Marilyn S Baffoe-Bonnie, Hasmin C Ramirez, Vence L Bonham
{"title":"First-in-human gene therapy clinical trials in the media: Exploring patient narratives.","authors":"Rachele E Willard, Marilyn S Baffoe-Bonnie, Hasmin C Ramirez, Vence L Bonham","doi":"10.1177/09636625251359544","DOIUrl":"10.1177/09636625251359544","url":null,"abstract":"<p><p>Promising results reported in genetic therapy clinical trials and recent US Food and Drug Administration approvals have attracted media attention. This critical content analysis examines themes and narrative framings present in feature articles published in US news media sources following patients involved in first-in-human clinical trials of genetic therapies. Articles were collected through focused searches across US news websites and LexisNexis databases in the period from 01 January 2017 to 06 April 2022. Forty-three articles met inclusion criteria (n = 13 from database searches, n = 30 from external searches). Articles were diverse across genetic conditions, news sources, and media types. Three dominant themes emerged: (1) Impacts of Living with Genetic Condition, (2) Consequences of Receiving Gene Therapy Treatment, and (3) Risks of Gene Therapy. Narrative frames included hope and caution. Results are discussed in relation to how the value of patient narratives and content may be situated alongside the interests of different actors.</p>","PeriodicalId":48094,"journal":{"name":"Public Understanding of Science","volume":" ","pages":"118-134"},"PeriodicalIF":3.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145042059","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}
Alexandra Moormann, Anna Beniermann, Daniela Fiedler
{"title":"Natural history museum visitors' use of key concepts and misconceptions in written explanations of evolutionary scenarios.","authors":"Alexandra Moormann, Anna Beniermann, Daniela Fiedler","doi":"10.1177/09636625251355890","DOIUrl":"10.1177/09636625251355890","url":null,"abstract":"<p><p>Global challenges like biodiversity loss cannot be understood without essential knowledge about evolution. However, evolution is one of the most misunderstood concepts among the general public. Informal learning environments like natural history museums offer great potential for learning about evolution by showing the latest scientific findings in their exhibitions. But to date, there is a lack of evidence about museum visitors' understanding of evolution. Therefore, this study aims to identify which evolutionary key concepts and misconceptions are applied by visitors when asked to explain evolutionary scenarios. Using an online survey, visitors (<i>n</i> = 122) were asked to answer two open-response ACORNS items. Overall, respondents tended to use relatively few key concepts in their responses. Although museum visitors are considered a highly educated group, our surveyed visitors seem to have a poor understanding of evolution. The key concepts and misconceptions identified might help develop future exhibitions and educational programs/activities.</p>","PeriodicalId":48094,"journal":{"name":"Public Understanding of Science","volume":" ","pages":"100-117"},"PeriodicalIF":3.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12741171/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144776638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Melanie Leidecker-Sandmann, Nikolai Promies, Markus Lehmkuhl
{"title":"Female expertise in public discourses: Visibility of female compared to male scientific experts in German media coverage of eight science-related issues.","authors":"Melanie Leidecker-Sandmann, Nikolai Promies, Markus Lehmkuhl","doi":"10.1177/09636625251363937","DOIUrl":"10.1177/09636625251363937","url":null,"abstract":"<p><p>A fair (public) representation of women is one of the most discussed questions of our time. The way in which media coverage (re)produces genders may affect individual and collective thinking and the perceptions of women in society. We analyse the representation of female scientists in German news media coverage of eight science-related risk issues and compare male and female experts regarding their relative scientific reputation, the number of references and the content of their statements. Our findings show that female scientific experts are less visible in German media coverage than their male colleagues and that they are underrepresented compared to the respective proportions in the relevant research areas. At the same time, our data relativize the extent of the gender visibility gap - after controlling for hierarchical position and scientific reputation, the differences become rather small. We find no evidence of discrimination against female scientific experts through journalistic selection routines.</p>","PeriodicalId":48094,"journal":{"name":"Public Understanding of Science","volume":" ","pages":"2-23"},"PeriodicalIF":3.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12741163/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145008546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Disseminating the Italian history of medicine: Arturo Castiglioni and his project at the University of Padua, 1933-1943.","authors":"Elena Maria Rita Rizzi","doi":"10.1177/09636625251384593","DOIUrl":"10.1177/09636625251384593","url":null,"abstract":"","PeriodicalId":48094,"journal":{"name":"Public Understanding of Science","volume":" ","pages":"135-139"},"PeriodicalIF":3.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145313838","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":"Mediating trust in content about science: Assessing trust cues in digital media environments.","authors":"Justin T Schröder, Lars Guenther","doi":"10.1177/09636625251337709","DOIUrl":"10.1177/09636625251337709","url":null,"abstract":"<p><p>Intermediaries such as (digital) media use trust cues in their content, that is, information and linguistic markers that present public audiences reasons for trusting scientists, scientific organizations, and the science system. <i>Trust cues</i> refer to dimensions of trust in science such as expertise, integrity, benevolence, transparency, and dialogue. Because digital media environments are expected to be heterogeneous in content, the sources of trust cues, characteristics of objects of trust in science (e.g. the gender of scientists), and their impact on public trust in science may vary. In our quantitative content analysis, we identified trust cues across several sources of scientific information (<i>n</i> = 906) and examined their heterogeneity in digital media environments. Our results reveal journalism as the most important source for trust cues and that scientists are the most prevalent object of trust-with female scientists being underrepresented. Differences across (digital) media imply varying impacts on public trust in science.</p>","PeriodicalId":48094,"journal":{"name":"Public Understanding of Science","volume":" ","pages":"1046-1065"},"PeriodicalIF":3.3,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12535621/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144227279","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Henry G W Dixson, Catherine Waldby, Sujatha Raman, Adrian Mackenzie, Lucy Carter
{"title":"Tragic Flaws and Practical Wisdom: Public reasoning behind preferences for different genetic technologies.","authors":"Henry G W Dixson, Catherine Waldby, Sujatha Raman, Adrian Mackenzie, Lucy Carter","doi":"10.1177/09636625251333316","DOIUrl":"10.1177/09636625251333316","url":null,"abstract":"<p><p>Advanced bioengineering is often described as a transformative field with the potential to reshape aspects of society and environments. However, it remains largely unfamiliar to publics, compounded by its highly abstract and complex technical details. Increasingly, there have been calls for public engagement that grounds the field in concrete, real-world uses. Furthermore, there have been calls to move beyond the limits of archetypal or intrinsic concerns by encouraging people to flesh out and justify their support or lack thereof. This national focus group study investigated views across Australia regarding four novel applications. By presenting these technologies in contextualised scenarios incorporating characters with a range of perspectives, it answers the call for greater frame awareness. We conclude that publics are more than capable of weighing and negotiating between multiple frames at once, providing their own in order to justify whether to accept or reject one of the technologies.</p>","PeriodicalId":48094,"journal":{"name":"Public Understanding of Science","volume":" ","pages":"1009-1027"},"PeriodicalIF":3.3,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12535613/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143988293","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Daniel Silva Luna, Irene Broer, Helena Bilandzic, Monika Taddicken, Björn W Schuller, Martin Bürger
{"title":"Quality in science communication with communicative artificial intelligence: A principle-based framework.","authors":"Daniel Silva Luna, Irene Broer, Helena Bilandzic, Monika Taddicken, Björn W Schuller, Martin Bürger","doi":"10.1177/09636625251328854","DOIUrl":"10.1177/09636625251328854","url":null,"abstract":"<p><p>The rapid advancement of communicative artificial intelligence (ComAI) is profoundly impacting science communication, offering new opportunities for easier and more audience-oriented communication. However, it also poses several challenges for its practice. Based on a narrative review of literature on science communication and ComAI quality, this article develops a framework of quality principles for science communication with ComAI. The framework identifies the quality dimensions of scientific integrity, human-centricity, ethical responsiveness, inclusive impact, and governance. We discuss applications of this framework in technology development, practitioner training, guideline development, and quality evaluation. This work aims to foster critical discussions on the normative standards for ComAI use in this field.</p>","PeriodicalId":48094,"journal":{"name":"Public Understanding of Science","volume":" ","pages":"966-987"},"PeriodicalIF":3.3,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12535614/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144121259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}