The Effects of AI Misinformation and Its Acceptance in Fake News Accuracy Judgments

Key Points

• This study aims to validate the effects of AI misinformation on the accuracy judgments of fake news and its acceptance process.
• Participants assessed the accuracy of fake news after exposure to AI-generated misinformation.
• They completed online surveys evaluating their confidence in accuracy judgments before and after receiving misinformation.
• Analysis based on the Elaboration Likelihood Model to explore pathways of trust influenced by attitudes towards AI.
• After exposure to AI misinformation, participants rated fake news as more true, with a significant increase in confidence.
• Attitudes towards AI mediated the effect of trust in AI misinformation on fake news accuracy judgment.
• Direct effects of attitude on judgment were not significant, indicating potential reliance on AI as an information cue.

Abstract