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The widespread proliferation of artificial intelligence (AI)-generated videos on social media presents an urgent need to evaluate their impact on information reception behavior. This article employs quantitative analysis techniques (Cronbach’s Alpha, exploratory factor analysis, Pearson correlation, and multiple regression) to measure the factors influencing users' levels of acceptance and interaction. The results indicate that "positive perception of the authenticity and attractiveness of AI videos" is the most robust influential factor. Consequently, the article proposes scientific implications aimed at enhancing digital media education capacity and increasing the transparency of AI content, thereby optimizing the effectiveness of users' information reception. Received: 11th May, 2026; Revised: 13th July, 2026; Accepted: 17th September, 2026
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Hằng et al. (2026) studied this question.
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