Harnessing AI to Address Misinformation on Cultivated Meat: The Impact of Chatbot Expertise and Correction Sidedness

This study conducted a 2 (chatbot expertise cues: high vs. low) × 2 (correction sidedness: one-sided vs. two-sided) between-subjects experiment to investigate the effects of chatbot features and output framing on misinformation correction and public perceptions of cultivated meat. Results highlighted the importance of chatbot expertise cues in shaping credibility perceptions of misinformation correction, with two-sided corrections from high-expertise chatbots perceived as more credible than those from low-expertise chatbots. Credibility perceptions mediated the interaction effect between chatbot expertise cues and correction sidedness on individuals’ attitudes and consumption intentions towards cultivated meat. Both theoretical and practical implications of these findings were discussed.