Generative Artificial Intelligence and Misinformation Acceptance
An Experimental Test of the Effect of Forewarning About Artificial Intelligence Hallucination
Bibliographic Data
| ID | 22004139 |
|---|---|
| Authors | Yoori Hwang (Myongji University), Seon Hye Jeong (0000-0003-2411-5649, Korea University, corresponding author) |
| Year | 2025 |
| Volume | 28 |
| Issue | 4 |
| Pages | 284-289 |
| Publication date | 2025-04-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Cyberpsychology Behavior and Social Networking (JOURNAL) |
| Journal identifiers | ISSN: 2152-2715 • E-ISSN: 2152-2723 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1089/cyber.2024.0407 |
| PMID | 39992238 |
| OpenAlex | W4407869731 |
| Language | EN |
| Citations received | 5 |
| References cited | 38 |
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 ( p = 0.001, Cohen’s d = 0.45) while forewarning did not reduce acceptance of true information ( p = 0.91). In addition, the effect of AI hallucination forewarning on misinformation acceptance was moderated by preference for effortful thinking ( p
Cognitive psychology · Computer security · Generative grammar · Machine learning · Misinformation · Computer Science · Ethics and Social Impacts of AI · Misinformation and Its Impacts · Psychology · Psychology of Moral and Emotional Judgment · Artificial Intelligence · Ecology
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| Citations per year | 5 |
|---|---|
| Citation span | 2025 - 2026 (2) |
| Highly cited | No |