Publications including this keyword are listed below.
262 publications found
Despite the rising popularity of video-based platforms, systematic guidelines for developing effective video-based science communication remain scarce. Training scientists in these skills is vital for combating misinformation and engaging audiences. This study reviewed evidence-based strategies for communicating science via video-based social media platforms, identifying 28 articles that included original video-based data and were published in the past decade. Articles were identified through library database searches, journal archives, and publication lists from relevant researchers. Predominantly focusing on YouTube (42.9%) and TikTok (28.6%), qualitative findings revealed best practices related to narrative structure, emotion and connection, video features, professionalism and quality, and social media strategies. Highlighting actionable strategies, this research provides valuable insights for scientists navigating the dynamic landscape of video-based science communication.
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.
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.