Browse all Publications

Filter by keyword: Digital science communication

Publications including this keyword are listed below.

17 publications found

Apr 14, 2025 Article
The new normal: The increasing adoption of generative AI in university communication

by Justus Henke

This study examines the adoption of generative AI (genAI) tools in German university communication departments using 2023 and 2024 survey data. Adoption has significantly increased in 2024, particularly for text generation, with private universities leading the way. Efficiency gains are evident, but issues with factual accuracy and data privacy persist. The findings highlight a transition from cautious experimentation to mainstream integration of genAI in communication strategies, though ethical concerns remain. Communication departments face the challenge of balancing genAI’s efficiency benefits with the need to uphold quality, individuality, and privacy.

Volume 24 • Issue 2 • 2025 • Science Communication in the Age of Artificial Intelligence (Science Communication & AI)

Apr 14, 2025 Article
“Away from this duty of chronicler and towards the unicorn”: How German science journalists assess their future with (generative) Artificial Intelligence

by Lars Guenther, Jessica Kunert and Bernhard Goodwin

The advent of generative Artificial Intelligence (genAI) is expected to have a significant impact on journalism. In this study, we address whether this development could help mitigate the crisis in science journalism. We conducted semi-structured interviews with 30 German science journalists, asking them about the potential impact genAI may have on the news-making process (i.e., selection, production, and distribution). The results suggest that interviewees anticipate many future benefits associated with genAI, some believe that the technology is unlikely to worsen the crisis in science journalism, while others express concerns about potential negative consequences (e.g., job loss).

Volume 24 • Issue 2 • 2025 • Science Communication in the Age of Artificial Intelligence (Science Communication & AI)

Apr 14, 2025 Article
Exploring temporal and cross-national patterns: The use of generative AI in science-related information retrieval across seven countries

by Esther Greussing, Lars Guenther, Ayelet Baram-Tsabari, Shakked Dabran-Zivan, Evelyn Jonas, Inbal Klein-Avraham, Monika Taddicken, Torben Agergaard, Becca Beets, Dominique Brossard, Anwesha Chakraborty, Antoinette Fage-Butler, Chun-Ju Huang, Siddharth Kankaria, Yin-Yueh Lo, Lindsey Middleton, Kristian H. Nielsen, Michelle Riedlinger and Hyunjin Song

This study explores the role of ChatGPT in science-related information retrieval, building on research conducted in 2023. Drawing on online survey data from seven countries—Australia, Denmark, Germany, Israel, South Korea, Taiwan, and the United States—and two data collection points (2023 and 2024), the study highlights ChatGPT’s growing role as an information intermediary, reflecting the rapid diffusion of generative AI (GenAI) in general. While GenAI adoption is a global phenomenon, distinct regional variations emerge in the use of ChatGPT for science-related searches. Additionally, the study finds that a specific subset of the population is more likely to use ChatGPT for science-related information retrieval. Across all countries surveyed, science-information seekers report higher levels of trust in GenAI compared to non-users. They also exhibit a stronger understanding of how (Gen)AI works and, with some notable exceptions, show greater awareness of its epistemic limitations.

Volume 24 • Issue 2 • 2025 • Science Communication in the Age of Artificial Intelligence (Science Communication & AI)

Apr 14, 2025 Article
Behind the Screens: How Algorithmic Imaginaries Shape Science Content on Social Media

by Clarissa Elisa Walter and Sascha Friesike

Based on an ethnography of the development and production of science YouTube videos – a collaboration between a German public broadcaster and social science scholars – we identify three intermediary steps through which recommendation algorithms shape science content on social media. We argue that algorithms induce changes to science content through the power they exert over the content's visibility on social media platforms. Change is driven by how practitioners interpret algorithms, infer content strategies to enhance visibility, and adjust content creation practices accordingly. By unpacking these intermediate steps, we reveal the nuanced mechanisms by which algorithms indirectly shape science content.

Volume 24 • Issue 2 • 2025 • Science Communication in the Age of Artificial Intelligence (Science Communication & AI)

Mar 24, 2025 Article
Identifying trust cues: how trust in science is mediated in content about science

by Justin T. Schröder, Janise Brück and Lars Guenther

Most public audiences in Germany receive scientific information via a variety of (digital) media; in these contexts, media act as intermediaries of trust in science by providing information that present reasons for public audiences to place their trust in science. To describe this process, the study introduces the term “trust cues”. To identify such content-related trust cues, an explorative qualitative content analysis has been applied to German journalistic, populist, social, and other (non-journalistic) online media (“n” = 158). In total, “n” = 1,329 trust cues were coded. The findings emphasize the diversity of mediated trust, with trust cues being connected to dimensions of trust in science (established: expertise, integrity, benevolence; recently introduced: transparency, dialogue). Through this analysis, the study aims for a better understanding of mediated trust in science. Deriving this finding is crucial since public trust in science is important for individual and collective informed decision-making and crises management.

Volume 24 • Issue 01 • 2025

Mar 10, 2025 Article
Wit meets wisdom: the relationship between satire and anthropomorphic humor on scientists' likability and legitimacy

by Alexandra L. Frank, Michael A. Cacciatore, Sara K. Yeo and Leona Yi-Fan Su

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.

Volume 24 • Issue 01 • 2025

Feb 24, 2025 Article
"It's mostly a one-way street, to be honest": the subjective relevance of public engagement in the science communication of professional university communicators

by Kaija Biermann, Lennart Banse and Monika Taddicken

This study explores the subjective relevance and challenges of public engagement (PES) in science communication among professional university communicators based on 29 qualitative interviews in one German federal state. Despite recognizing its value, interviewees reveal significant uncertainties in understanding, objectives, and implementation of PES. They cite barriers such as reliance on scientists and control concerns. Surprisingly, social media is rarely considered for PES, with online engagement seen as difficult. This research highlights the complexities and challenges of PES in practice, emphasizing opportunities for optimized digital science communication strategies and clearer role structures between professionals and researchers to enhance PES.

Volume 24 • Issue 01 • 2025

Feb 17, 2025 Article
Exploring the dynamics of interaction about generative artificial intelligence between experts and the public on social media

by Noriko Hara, Eugene Kim, Shohana Akter and Kunihiro Miyazaki

Generative Artificial Intelligence (GenAI) greatly attracts the public's interest; thus, this research investigates discussions between experts and members of the public about this new technology on social media. Using computational and manual analysis of X (formerly Twitter) data, we investigated discussion topics, the roles discussants — including both experts and public — play, and the differences between experts' posts and the public's replies. Moreover, we examined the dynamics between the discussants' roles and social media engagement measures. We found that the public is not only actively contributing to the discussion of GenAI on X, but also becoming knowledge co-producers alongside experts in the sphere.

Volume 24 • Issue 01 • 2025

Dec 16, 2024 Editorial
Public (dis)trust in science in digital media environments

by Anne Reif, Lars Guenther and Hiromi M. Yokoyama

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.

Volume 23 • Issue 09 • 2024 • Special Issue: Public (dis)trust in science in digital media environments

Dec 16, 2024 Article
How different science communicators use identity strategies to gain public trust: a study on astronomy and climate change issues on a Chinese knowledge sharing platform

by Zheng Yang, Yuanting Huang, Tao Yang and Taoran Yu

Science communication has seen a trend of diverse communicators in recent decades, who adopt different identity strategies to gain audience trust. This study focuses on the strategies used by three different groups of science communicators, including scientists, citizens and institutions, as well as the potential effects that may arise from these different strategies in terms of audience trust through quantitative content analysis. The findings show that communicators have biases towards using different strategies. There are also significant differences in the trust effects generated by different strategies used by different science communicators in different science topics. This indicates that the effect of science communication varies for different groups of science communicators and different science topics, and it is difficult to generate a universally applicable model, which further corresponds to the current trend of ‘diversification’ and ‘contextualization’ in science communication research.

Volume 23 • Issue 09 • 2024 • Special Issue: Public (dis)trust in science in digital media environments