Seeing science again: AI-generated image and science credibility
This project combines computational content analysis and experiments to examine how AI-generated images shape perceptions of credibility.
Publications
Eom, D., Middleton, L., Luo, S., Li, N., & Brossard, D. (2025). Familiarity matters: Examining the effects of AI-generated image on science information credibility. Science Communication. First published online October 18, 2025. https://doi.org/10.1177/10755470251380116
Presentations
Eom, D., Middleton, L., Luo, S., Li, N., & Brossard, D. (2025, June). Familiarity Matters: Examining the Effects of AI-Generated Image on Science Information Credibility [Paper presentation]. Annual Convention of the International Communication Association (ICA), Denver, Colorado, USA.
Eom, D., Middleton, L., Luo, S., Li, N., & Brossard, D. (2025, May). Visual literacy in the AI age: Implications for science communication strategies [Visual Presentation]. Biannual Convention of the Public Communication of Science and Technology (PCST) Network, Aberdeen, UK.
