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July 11, 2026Journalism & Mass Communication Quarterly0 citations

Perceived Legitimacy Matters: Building Public Trust and Acceptance of AI-Generated News Images Through Strategic AI Disclosure

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YLYuhan LiHLHang Lu

Key Points

  • This research investigates how different disclosure strategies affect public trust and acceptance of AI-generated images in news media.
  • Conducted an online experiment with 1,171 participants.
  • Evaluated the impact of varying disclosure strategies regarding AI use in news images.
  • Assessed audience predispositions toward AI to analyze their influence on responses.
  • AI-generated images consistently reduced trust in news organizations and acceptance of AI compared to real photos.
  • External attribution for AI use led to more favorable audience responses than internal motives or simple disclaimers.
  • Perceived legitimacy of AI use played a critical role in moderating audience reactions.

Abstract

Despite growing newsroom interest in generative visual AI, the use of AI-generated images may backfire. An online experiment ( N = 1,171) shows that regardless of disclosure strategies, AI-generated images reduce trust in news organizations and acceptance of AI in journalism compared to real photos. However, attributing AI use to external motives (i.e., protecting victims’ privacy) elicits more favorable responses than internal attribution (i.e., saving newsroom costs) or simple disclaimers. Perceived legitimacy underlies audience response, and people’s predispositions toward AI moderated the effectiveness of disclosure strategies. These findings extend AI transparency research and help newsrooms to communicate AI use more ethically.

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Cite This Study

Li et al. (2026) studied this question.

synapsesocial.com/papers/6a51dd5ac18d7f28ca4fff4ehttps://doi.org/10.1177/10776990261462536
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