The Impact of Artificial Intelligence-Generated Videos on the Information Reception Behavior of Social Media Users

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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Publication Details

Journal
VNU Journal of Social Sciences and Humanities
Published
2026-11-06
DOI
https://doi.org/10.33100/jossh.2026.2.2.2
Primary Topic
Misinformation and Its Impacts
Type
article
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article

The Impact of Artificial Intelligence-Generated Videos on the Information Reception Behavior of Social Media Users

Nguyễn Thị Thúy Hằng, Doan Duy Anh, Tran Thi Thu Quynh
2 links
VNU Journal of Social Sciences and Humanities
Misinformation and Its Impacts
article

The Impact of Artificial Intelligence-Generated Videos on the Information Reception Behavior of Social Media Users

Nguyễn Thị Thúy Hằng, Doan Duy Anh, Tran Thi Thu Quynh
article en

Abstract

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

VNU Journal of Social Sciences and HumanitiesVol. 2(2)
Vietnam National University, Hanoi (VN), VNU University of Social Sciences and Humanities (VN)
Openalex Percentile: Top 9%
Misinformation and Its Impacts
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