Jian-Hong Ye^1,2, Junpeng Zheng³, Weiguaju Nong⁴, Xiantong Yang^5,*

International Journal of Mental Health Promotion, Vol.27, No.3, pp. 271-286, 2025, DOI:10.32604/ijmhp.2025.059929 - 31 March 2025

Abstract Objectives: Short video addiction has emerged as a significant public health issue in recent years, with a growing trend toward severity. However, research on the causes and impacts of short video addiction remains limited, and understanding of the variable “TikTok brain” is still in its infancy. Therefore, based on the Stimulus-Organism-Behavior-Consequence (SOBC) framework, we proposed six research hypotheses and constructed a model to explore the relationships between short video usage intensity, TikTok brain, short video addiction, and decreased attention control. Methods: Given that students are considered a high-risk group for excessive short video use, we… More >

Jian-Hong Ye^1,2, Yuting Cui^3,*, Li Wang⁴, Jhen-Ni Ye⁵

International Journal of Mental Health Promotion, Vol.26, No.10, pp. 805-815, 2024, DOI:10.32604/ijmhp.2024.055814 - 31 October 2024

Abstract Background: With the global popularity of short videos, particularly among young people, short video addiction has become a worrying phenomenon that poses significant risks to individual health and adaptability. Self-regulated learning (SRL) strategies are key factors in predicting learning outcomes. This study, based on the SRL theory, uses short video addiction as the independent variable, SRL strategies as the mediating variable, and learning well-being as the outcome variable, aiming to reveal the relationships among short video addiction, self-regulated learning, and learning well-being among Chinese college students. Methods: Using a cross-sectional study design and applying the… More >

Weihua Liu¹, Haoyang Wan^2,*, Boyuan Yan²

CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 239-258, 2023, DOI:10.32604/cmes.2022.022827 - 29 September 2022

Abstract With the popularity of 5G and the rapid development of mobile terminals, an endless stream of short video software exists. Browsing short-form mobile video in fragmented time has become the mainstream of user’s life. Hence, designing an efficient short video recommendation method has become important for major network platforms to attract users and satisfy their requirements. Nevertheless, the explosive growth of data leads to the low efficiency of the algorithm, which fails to distill users’ points of interest on one hand effectively. On the other hand, integrating user preferences and the content of items urgently… More > Graphic Abstract