Familiarity Matters: Examining the Effects of AI-Generated Images on Science Information Credibility

Generative AI tools help illustrate complex scientific concepts, though concerns about accuracy persist. This study examined how AI-generated Instagram posts about CRISPR, with and without disclaimers indicating AI involvement, affect perceived credibility. In an online survey experiment with 742 U.S. adults, participants were randomly assigned to view content that varied by message frame (natural, neutral, or technology-focused) and the presence or absence of an AI disclaimer. Overall, AI disclaimers did not significantly affect credibility across frames. However, participants more familiar with AI perceived AI-disclaimed posts as more credible, while those less familiar perceived them as less credible.

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Publication Details

Journal
Science Communication
Published
2025-10-18
DOI
https://doi.org/10.1177/10755470251380116
Primary Topic
Computational and Text Analysis Methods
Type
article
Field-Weighted Citation Impact
0.00
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article

Familiarity Matters: Examining the Effects of AI-Generated Images on Science Information Credibility

Sha Luo, Dominique Brossard, Lindsey A. Middleton, Nan Li et al.
Science Communication
Computational and Text Analysis Methods
article

Familiarity Matters: Examining the Effects of AI-Generated Images on Science Information Credibility

Sha Luo, Dominique Brossard, Lindsey A. Middleton, Nan Li, Dayeon Eom
article en

Abstract

Generative AI tools help illustrate complex scientific concepts, though concerns about accuracy persist. This study examined how AI-generated Instagram posts about CRISPR, with and without disclaimers indicating AI involvement, affect perceived credibility. In an online survey experiment with 742 U.S. adults, participants were randomly assigned to view content that varied by message frame (natural, neutral, or technology-focused) and the presence or absence of an AI disclaimer. Overall, AI disclaimers did not significantly affect credibility across frames. However, participants more familiar with AI perceived AI-disclaimed posts as more credible, while those less familiar perceived them as less credible.

Science Communication
University of Wisconsin–Madison (US), Morgridge Institute for Research (US)
Openalex Percentile: Top 59%
Computational and Text Analysis Methods
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