Filter by author: Friederike Hendriks

AI-based chatbots offer new opportunities for communicating science-based information, but often fall short of established standards. We conducted two pre-registered experiments examining user perceptions of an AI-based chatbot providing information on nanoparticles in sunscreen. Study one (N = 508) tested whether a disclaimer about the chatbot's uncertain training data affected perceived source trustworthiness and information credibility. The results showed no significant effect of the disclaimer; perceptions were primarily influenced by users' prior attitudes. Study two (N = 1059) tested the evaluation of information on nanoparticles in sunscreen in an experiment with a 2 (source: scientist vs. AI-based chatbot) ×2 (presentation: static vs. dynamic) between-subjects design. The study showed that the scientist was evaluated as more trustworthy and the provided information seen as more credible compared to the AI-based chatbot. The two studies highlight the relevance of perceived objectivity in science and health communication, whether executed by humans or machines.

Early career researchers (ECRs) are increasingly socialised in professional environments where science communication is seen as part of their academic role. ECRs respond to these expectations differently, shaped in part by social relationships within and beyond academia. This study uses ego-network interviews with 24 highly communicative STEM (Science, Technology, Engineering, Mathematics) ECRs in Germany to examine how social relationships influence the importance as well as the integration of science communication in their professional identity. Results show that recognition and support often come from private contacts and the science communication community, while workplace environments are perceived as less supportive and formative. Moreover, different formats and processes of science communication seem to be tied to distinct networks and underlying communication motives.