articlePNAS NexusFeb 1, 2026GOLD OA

Labeling messages as AI-generated does not reduce their persuasive effects

Stanford Medicine · Stanford University · +1 more institution

PubMed
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Abstract

Abstract As generative AI enables the creation and dissemination of information at massive scale and speed, it is increasingly important to understand how people perceive AI-generated content. One prominent policy proposal requires explicitly labeling AI-generated content to increase transparency and encourage critical thinking about the information, but prior research has not yet tested the effects of such labels. To address this gap, we conducted a survey experiment (N=1,601) on a diverse sample of Americans, presenting participants with an AI-generated message about several public policies (e.g. allowing colleges to pay student-athletes), randomly assigning whether participants were told the message was…

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7
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FWCI
90.91
Percentile
100%
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7

Topics & keywords

Keywords
  • Transparency (behavior)
  • Variety (cybernetics)
  • Affect (linguistics)
  • Sample (material)
  • Motivated reasoning
  • Persuasion
  • Scale (ratio)
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