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  • 许洁:Decoding digital dependency: Flow experience and social belonging in short video addiction among middle-aged and elderly Chinese users

    2025年12月29日 68 阅读 0 评论 1994 字

    Abstract
    The rising prevalence of mobile short video (MSV) addiction among middle-aged and elderly individuals poses a significant threat to their well-being, yet there is a notable paucity of research addressing this critical issue. Drawing on the Stimulus-Organism-Response framework and flow theory, this study examines the relationships between mobile short video characteristics (interactivity, recommendation, and entertainment) and addiction behaviors among middle-aged and elderly users. The research model considers perceived belonging and flow experience as mediating variables, with user habits as a moderating variable. Data were gathered through an online self-administered questionnaire, and structural equation modeling (SEM) was employed for data analysis. The results indicate that recommendation, interactivity, and entertainment are positively related to flow experience, while recommendation and interactivity are positively associated with social belonging. Both flow experience and social belonging are significant determinants of addictive behaviors, with flow experience mediating the relationship between short video characteristics and addictive behaviors, and social belonging mediating the relationship between recommendation, interactivity, and addictive behaviors. Additionally, user habits strengthen the relationships between social belonging and addictive behaviors, as well as between flow experience and addictive behaviors. These findings provide essential insights for designing effective strategies and interventions to prevent and reduce MSV addiction among middle-aged and elderly individuals, ultimately enhancing their digital literacy and quality of life.

    Xu, Jie, et al. "Decoding digital dependency: Flow experience and social belonging in short video addiction among middle-aged and elderly Chinese users." Telematics and Informatics 96 (2025): 102222.
    本文著作权归作者 [ drsx ] 享有,未经作者书面授权,禁止转载,封面图片来源于 [ 互联网 ] ,本文仅供个人学习、研究和欣赏使用。如有异议,请联系博主及时处理。
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