Artificial Intelligence (AI) is fundamentally transforming science communication. This editorial for the JCOM Special Issue “Science Communication in the Age of AI” explores the implications of AI, especially generative AI, for science communication, its promises and challenges. The articles in this Special Issue can be categorized into four key areas: (1) communication about AI, (2) communication with AI, (3) the impact of AI on science communication ecosystems, and (4) AI’s influence on science, theoretical and methodological approaches. This collection of articles advances empirical and theoretical insight into AI’s evolving role in science communication, emphasizing interdisciplinary and comparative perspectives.

This paper studies how artificial intelligence was set to the agenda in the press and social media in France. By simultaneously analysing the framing of AI and the key actors who dominated the discourse on this technology in the national press and on the X and Facebook platforms, the study highlights, on the one hand, the influence of digital companies and government narratives, and on the other, the presence of alternative stakeholder perspectives that diverge from dominant discourses and contribute to political polarisation on AI-related issues such as facial recognition. Our study sheds light on how AI framing can highlight dominant and alternative narratives and visions and may contribute to the consolidation of socio-technical imaginaries in the French public sphere.

This paper examines how artificial intelligence (AI) imaginaries are negotiated by key stakeholders in the United States, China, and Germany, focusing on how public perceptions and discourses shape AI as a sociotechnical phenomenon. Drawing on the concept of sociotechnical imaginaries in public communication, the study explores how stakeholders from industry, government, academia, media and civil society actively co-construct and contest visions of the future of AI. The comparative analysis challenges the notion that national perceptions are monolithic, highlighting the complex and heterogeneous discursive processes surrounding AI. The paper utilises stakeholder interviews to analyse how different actors position themselves within these imaginaries. The analysis highlights overarching and sociopolitically diverse AI imaginaries as well as sectoral and stakeholder co-dependencies within and across the case study countries. It hence offers insights into the socio-political dynamics that influence AI’s evolving role in society, thus contributing to debates on science communication and the social construction of technology.

Artificial Intelligence (AI) is profoundly reshaping the field of science communication research. We conducted a literature review of 35 articles published between 2002 and 2024, which reveals that research on AI in science communication is still in its infancy but growing, predominantly concentrated in Western contexts, and methodologically inclined toward quantitative approaches. The field largely focuses on communication about AI and public perceptions of AI rather than analyzing actual engagement with generative AI or its systemic impact on science communication ecosystems. To address these gaps, we propose a research agenda centered on four key areas: (1) communication about AI, (2) communication with AI, (3) the impact of AI on science communication ecosystems, and (4) AI’s influence on science, theoretical and methodological approaches.

`AI and Common Sense: Ambitions and Frictions' critically examines the claim of AI with common sense, a notion often assumed in human intelligence but highly debated in machine learning. The book offers a multifaceted exploration, questioning whether common sense is essential for AI and its broader implications for society and the future of technology. Spanning technical, philosophical, and social perspectives, it invites readers to rethink common sense and its role in shaping future AI conversations in society.

The evolving landscape of science communication highlights a shift from traditional dissemination to participatory engagement. This study explores Dutch citizens' perspectives on science communication, focusing on science capital, public engagement, and communication goals. Using a mixed-methods approach, it combines survey data (“n”=376) with focus group (“n”=66) insights. Findings show increasing public interest in participating in science, though barriers like knowledge gaps persist. Trust-building, engaging adolescents, and integrating science into society were identified as key goals. These insights support the development of the Netherlands' National Centre of Expertise on Science and Society and provide guidance for inclusive, effective science communication practices.

We conducted an experiment examining public response to scientists' use of different types of humor (satire, anthropomorphism, and a combination of the two) to communicate about AI on Twitter/X. We found that humor led to increased perceptions of humor, measured as increased mirth. Specifically, we found that combining anthropomorphism and satire elicited the highest levels of mirth. Further, reported mirth was positively associated with the perceived likability of the scientist who posted the content. Our findings indicate that mirth mediated the effects of the humor types on publics' perceptions that the scientist on social media was communicating information in an appropriate and legitimate way. Overall, this suggests that scientists can elicit mirth by using combining satire and anthropomorphic humor, which can enhance publics' perceptions of scientists. Importantly, publics' responses to harsh satire were not examined. Caution should be exercised when using satire due to potential backfire effects.

Forensic science has become a standard feature in criminal investigations and trials. However, it can often be a challenge for experts in courtrooms to communicate scientific evidence clearly to lay audiences through verbal expert witness testimony alone. The Evidence Chamber is an interactive experience engaging public audiences with forensic science through a mock trial. This study explores the effectiveness of using comics to support the understanding of forensic science by non-experts. The results suggest comics were effective at aiding the audiences' comprehension of forensic science evidence and in the future comic-based aids could support juries' comprehension of scientific evidence.

This special issue examines public (dis)trust in science amidst evolving digital media environments, marked by the increasing prevalence of online information sources about scientific topics such as climate change and COVID-19. This editorial summarizes the nine publications that are part of the special issue and shows how they address different aspects of public (dis)trust in science in the context of digital media environments. Furthermore, we reflect on the selection and production process and give an outlook as to where future research could be heading. The papers highlight various perspectives on (dis)trust in science in digital media environments to foster a deeper understanding of the role of digital communication.

This article examines climate change discourse on Brazilian social media from 2014 to 2022 and use a longitudinal approach, analyzing discourse, scientific authority, and eco-emotions on Instagram, Facebook, and Twitter. Methods include TF-IDF for feature extraction, sentiment analysis with VADER, and Named Entity Recognition (NER). A Ridge Classifier was trained on 557 manually classified samples. Findings show no significant increase in challenges to scientific authority or skepticism, but reveal a subtle shift towards using uncertainty as a rhetorical tool to undermine trust in scientific discourse.