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Synthetic News, Natural Doubts? A Meta-Analysis of Credibility Perceptions of AI-Generated News
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- TRV-2026-2712raw data (JSON)
- Version
- v1Published
- First published
- Evidence type
- Systematic review or meta-analysis
- Sources
- 1 sourcePeer-reviewed
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As generative artificial intelligence (AI) becomes increasingly integrated into news production, concerns about the credibility of synthetic news content are intensifying. While some studies report that audiences find AI-generated news less credible than human-written content, others reveal mixed or even reversed findings. This meta-analysis synthesizes findings across 31 studies (41 effect sizes) to assess how the source label (AI vs. human) influences news users' evaluations of source credibility and message c…
The problem
A meta-analysis of 31 studies (41 effect sizes) found news labeled as AI-generated got a small but statistically significant credibility penalty, on both source and message credibility, compared with news labeled as human-written.
What this doesn’t fix
Two of the three moderators, topic value-ladenness and participants' source orientation, showed only descriptive trends and did not reach statistical significance, so the sources of variation between studies remain only partly explained.
Sources
1 on file- Cyberpsychology, Behavior, and Social Networkingdoi:10.1177/21522715261439452
Cite this record
v1Truvace Impact Record TRV-2026-2712, v1: “Synthetic News, Natural Doubts? A Meta-Analysis of Credibility Perceptions of AI-Generated News.” Truvace, 2026-11-12. /record/TRV-2026-2712 (accessed on the day you copy it). sha256 8c88abd77e7689a4…
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