A Study on the Associations Among Social Media Usage Patterns, Perceptions of AI Culture, and Mental Health Across Gender Groups
DOI:
https://doi.org/10.54691/ac8ntd63Keywords:
Social media usage; Perceptions of AI Culture; Mental Health; Gender Disparities;Digital Life.Abstract
In order to explore the internal relationship between social media use behavior, digital culture perception and mental health of different gender groups, this paper undertakes data collation and empirical analysis based on CNNIC's 53rd Statistical Report on Internet Development in China, the Blue Book on Mental Health: China's National Mental Health Development Report (2023-2024) and other public authoritative materials. Research shows that the size of China’s internet user base has reached 1.092 billion, the Internet penetration rate is 77.5%, and the network applications have achieved full national coverage. Uncontrolled browsing of short videos and other passive social media usage behaviors can have a negative impact on individual emotions and mental health, and this impact is more prominent in the female population. The Blue Book data shows that the risk of depression and anxiety in adults gradually decreases with age, and the decline in depression risk in women is significantly higher than that in men; The psychological health risks of rural minor females and high-frequency online consumers are relatively higher. Actively participating in online social activities and developing rational internet habits can effectively maintain mental health. This study clarifies the correlation characteristics between digital usage behavior and mental health under gender differences, providing empirical reference for developing gender-differentiated digital psychological counseling programs and guiding the public toward healthy internet use.
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References
Orben, A. (2020). The Sisyphean cycle of technology panics. Perspectives on Psychological Science, 15(5), 1143–1157. https://doi.org/10.1177/1745691620910464
Gerson, J., Plagnol, A. C., & Corr, P. J. (2017). Passive and active Facebook use measure (PAUM): Validation and relationship to the reinforcement sensitivity theory. Personality and Individual Differences, 117, 81–90. https://doi.org/10.1016/j.paid.2017.05.028
Ozimek, P., Brailovskaia, J., & Bierhoff, H. W. (2023). Active and passive behavior in social media: Validating the Social Media Activity Questionnaire (SMAQ). Telematics and Informatics Reports, 10, 100048. https://doi.org/10.1016/j.telrep.2023.100048
Su, W., Han, X., Yu, H., Wu, Y., & Potenza, M. N. (2020). Do men become addicted to internet gaming and women to social media? A meta-analysis examining gender-related differences in specific internet addiction. Computers in Human Behavior, 113, 106480. https://doi.org/ 10.1016/j.chb.2020.106480
Thorisdottir, I. E., Sigurvinsdottir, R., Kristjansson, A. L., Allegrante, J. P., Lilly, C. L., & Sigfusdottir, I. D. (2020). Longitudinal association between social media use and psychological distress among adolescents. Preventive Medicine, 141, 106270. https://doi.org/ 10.1016/ j.ypmed. 2020.106270
Kaya, F., Aydin, F., Schepman, A., Rodway, P., Yetişensoy, O., & Demir Kaya, M. (2024). The roles of personality traits, AI anxiety, and demographic factors in attitudes toward artificial intelligence. International Journal of Human–Computer Interaction, 40(2), 497–514. https://doi.org/10.1080/10447318.2023.2296742
Møgelvang, A., Bjelland, C., Grassini, S., & Ludvigsen, K. (2024). Gender differences in the use of generative artificial intelligence chatbots in higher education: Characteristics and consequences. Education Sciences, 14(12), 1363. https://doi.org/10.3390/educsci14121363
Godard, R., & Holtzman, S. (2024). Are active and passive social media use related to mental health, wellbeing, and social support outcomes? A meta-analysis of 141 studies. Journal of Computer-Mediated Communication, 29(1), zmad055. https://doi.org/ 10.1093/jcmc/ zmad055
Tifferet, S. (2020). Gender differences in social support on social network sites: A meta-analysis. Cyberpsychology, Behavior, and Social Networking, 23(4), 199–209. https://doi.org/ 10.1089/ cyber.2019.0498
Hunt, M. G., Marx, R., Lipson, C., & Young, J. (2018). No more FOMO: Limiting social media decreases loneliness and depression. Journal of Social and Clinical Psychology, 37(10), 751–768. https://doi.org/10.1521/jscp.2018.37.10.751
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