Generative Artificial Intelligence and Misinformation Acceptance: An Experimental Test of the Effect of Forewarning About Artificial Intelligence Hallucination

Generative artificial intelligence (AI) tools could create statements that are seemingly plausible but factually incorrect. This is referred to as AI hallucination, which can contribute to the generation and dissemination of misinformation. Thus, the present study examines whether forewarning about AI hallucination could reduce individuals' acceptance of AI-generated misinformation. An online experiment with 208 Korean adults demonstrated that AI hallucination forewarning reduced misinformation acceptance (<i>p</i> = 0.001, Cohen's <i>d</i> = 0.45) while forewarning did not reduce acceptance of true information (<i>p</i> = 0.91). In addition, the effect of AI hallucination forewarning on misinformation acceptance was moderated by preference for effortful thinking (<i>p</i> < 0.01) such that forewarning decreased misinformation acceptance when preference for effortful thinking was high (vs. low).

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Publication Details

Journal
Cyberpsychology Behavior and Social Networking
Published
2025-02-24
DOI
https://doi.org/10.1089/cyber.2024.0407
Citations
12
Primary Topic
Misinformation and Its Impacts
Type
article
Field-Weighted Citation Impact
50.42
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article

Generative Artificial Intelligence and Misinformation Acceptance: An Experimental Test of the Effect of Forewarning About Artificial Intelligence Hallucination

Se‐Hoon Jeong, Yoori Hwang
12 citations
Cyberpsychology Behavior and Social Networking
Misinformation and Its Impacts
50.42
article

Generative Artificial Intelligence and Misinformation Acceptance: An Experimental Test of the Effect of Forewarning About Artificial Intelligence Hallucination

Se‐Hoon Jeong, Yoori Hwang
article en
12 citations

Abstract

Generative artificial intelligence (AI) tools could create statements that are seemingly plausible but factually incorrect. This is referred to as AI hallucination, which can contribute to the generation and dissemination of misinformation. Thus, the present study examines whether forewarning about AI hallucination could reduce individuals' acceptance of AI-generated misinformation. An online experiment with 208 Korean adults demonstrated that AI hallucination forewarning reduced misinformation acceptance (<i>p</i> = 0.001, Cohen's <i>d</i> = 0.45) while forewarning did not reduce acceptance of true information (<i>p</i> = 0.91). In addition, the effect of AI hallucination forewarning on misinformation acceptance was moderated by preference for effortful thinking (<i>p</i> < 0.01) such that forewarning decreased misinformation acceptance when preference for effortful thinking was high (vs. low).

Cyberpsychology Behavior and Social NetworkingVol. 28(4)
Korea University (KR), Korea University (JP), Myongji University (KR)
Reduced inequalities
Openalex Percentile: Top 0%
Misinformation and Its Impacts
50.42
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