Publications including this keyword are listed below.
277 publications found
We assessed ChatGPT's ability to identify and categorize actors in German news media articles into societal groups. Through three experiments, we evaluated various models and prompting strategies. In experiment 1, we found that providing ChatGPT with codebooks designed for manual content analysis was insufficient. However, combining Named Entity Recognition with an optimized prompt for actor Classification (NERC pipeline) yielded acceptable results. In experiment 2, we compared the performance of gpt-3.5-turbo, gpt-4o, and gpt-4-turbo, with the latter performing best, though challenges remained in classifying nuanced actor categories. In experiment 3, we demonstrated that repeating the classification with the same model produced highly reliable results, even across different release versions.
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.
This comprehensive compilation of a wide variety of science communication scholars investigating science and health journalism, brought together by editors Kim Walsh-Childers and Merryn McKinnon, leaves one with mixed impressions.
Publisher's note: a Letter by Merryn McKinnon and Kim Walsh-Childers has been published on September 5th 2025 and is available here
Former government intelligence officer David Grusch became a hot new topic in the UFO world when he declared that the government was hiding an alien ship crash retrieval program. Can this media coverage be influential in increasing belief in UFOs? And can a credible critic of Grusch's claims successfully negate the impact of the media coverage on the acceptance of misinformation? A three-condition experiment (N=287) showed that a counternarrative can successfully negate the influence of his claims on conspiratorial beliefs. We suggest that these results have practical implications for journalists in their coverage of controversial claims.
Volume 23 • Issue 07 • 2024 • Special Issue: Communicating Discovery Science (Discovery Science)