[目的/意义]探究用户对深度伪造视频的信任路径可以降低用户盲目信任，为政府和社交媒体平台制定深度伪造风险治理策略提供理论支撑。[方法/过程]基于元分析确定影响用户信任深度伪造视频的12个因素，结合模糊解释结构模型ISM和交叉矩阵相乘法MICMAC分析用户信任深度伪造视频的关联路径及分类关系。[结果/结论]用户信任路径分为素养驱动路径、平台环境依赖路径与信息评估路径。认知能力、知伪意识和信息线索是根源层因素，对用户信任影响最深。个人素养内化、信息生态优化与外部线索强化是降低深度伪造视频用户信任的关键维度。

[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.