Browse all Publications

Filter by author: Evelyn Jonas

All author's publications are listed below.

2 publications found

Dec 16, 2024 Article
Intermediaries in the limelight: how exposure to trust cues in content about science affects public trust in science

by Lars Guenther, Justin T. Schröder, Anne Reif, Janise Brück, Monika Taddicken, Peter Weingart and Evelyn Jonas

A potential decline in public trust in science has often been linked to digital media environments, which serve as intermediaries of trust by providing cues for why (not) to trust science. This study examines whether exposure to trust cues in content affects public trust in science (across population groups). The study employs a mixed-method design, combining content analysis (“n” = 906) and panel survey data (“n” = 1,030) in Germany. The findings reveal that exposure to trust cues in certain media predicts public trust in science. Variations across trust groups indicate a nuanced nature of trust-assessing processes in digital media environments.

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

Oct 09, 2024 Article
How to make sense of generative AI as a science communication researcher? A conceptual framework in the context of critical engagement with scientific information

by Inbal Klein-Avraham, Esther Greussing, Monika Taddicken, Shakked Dabran-Zivan, Evelyn Jonas and Ayelet Baram-Tsabari

A guiding theory for a continuous and cohesive discussion regarding generative artificial intelligence (GenAI) in science communication is still unavailable. Here, we propose a framework for characterizing, evaluating, and comparing AI-based information technologies in the context of critical engagement with scientific information in online environments. Hierarchically constructed, the framework observes technological properties, user experience, content presentation, and the context in which the technology is being used. Understandable and applicable for non-experts in AI systems, the framework affords a holistic yet practical assessment of various AI-based information technologies, providing both a reflection aid and a conceptual baseline for scholarly references.

Volume 23 • Issue 06 • 2024