AI Claims Authority: How Source and Corrective Strategy Shape Perceived Credibility in Combating Misinformation

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Authors: Junyi Chen, Fankai Dai, Yi Mou
Cited by: 1
References: 46

Abstract

AI has been increasingly deployed to combat misinformation, yet its credibility remains contested, partly due to overlooking the factor of corrective strategies. This study addresses this gap by conducting a 3 (source: human vs. AI vs. human-AI hybrid) × 2 (corrective strategy: evidence-based vs. authority-based) × 2 (topic: social vs. scientific) mixed-design experiment. Results showed that AI adopting authority-based strategies was associated with decreased credibility, while stronger machine heuristic beliefs and authoritarian personality mitigated this negative effect for AI and hybrid sources. Findings highlight the confounding role of corrective strategies in AI credibility scholarship, offering implications for automated misinformation correction.

Fields of Study & Subjects

Misinformation and Its Impacts Epistemology Ethics and Metaphysics Deception detection and forensic psychology

Publication details

Journal / source
Journal of Broadcasting & Electronic Media
Publisher
Informa UK Limited
Pages
1–19
Publication date
16 May 2026
Language
EN