[Purpose/significance] Investigating the pathway of user trust in deepfake videos can mitigate blind trust and provide theoretical support for the government and social media platforms to formulate deepfake risk governance strategies. [Method/process] The meta-analysis was used to determine the 12 elements affecting user trust in deep⁃fake videos. The fuzzy ISM and the MICMAC were combined to analyze the correlation pathways and classification rela⁃tionships of user trust in deepfake videos. [Result/conclusion] The pathways to user trust are categorized into literacydriven pathway, platform-environment dependency pathway, and information assessment pathway. Cognitive ability,awareness of deepfakes, and informational cues constitute foundational factors exerting the most profound influence. In⁃ternalization of personal literacy, optimization of the information ecosystem, and reinforcement of external cues are key dimensions for reducing user trust in deepfake videos.