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 Volume 11, Issue 1 (January 2024), Pages: 129-136


 Original Research Paper

Analysis of correlating factors: Social media addiction in Shanghai's Generation Z


 Ming Yang *, Ali Salman


 Faculty of Language Studies and Human Development, Universiti Malaysia Kelantan, Kota Bharu, Malaysia

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In the current digital era, the way Generation Z interacts with social media, particularly in vibrant cities like Shanghai, is significant and varied. This study, influenced by Bandura's Social Cognitive Theory (SCT), investigates the detailed motivations behind Generation Z's online behavior and examines how these motivations might relate to the risk of becoming addicted to social media. We carefully gathered data from 318 participants, mainly aged 22 to 28, from various socio-cultural backgrounds in Shanghai. Using SPSS for detailed analysis, we applied descriptive statistics and Pearson correlation analyses to identify patterns and relationships. The initial results show that Generation Z in Shanghai is heavily involved in the digital world, and their social media use aligns with the principles of SCT, including observational learning, reciprocal determinism, and self-efficacy. This study adds to the growing body of research on digital behavior, emphasizing the importance of understanding the complex effects of social media on individual lives and society as a whole.

 © 2024 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (


 Digital behaviors, Social media, Generation Z, Social cognitive theory, Motivation, Social media addiction

 Article history

 Received 30 August 2023, Received in revised form 3 January 2024, Accepted 6 January 2024


No Acknowledgment.

 Compliance with ethical standards

 Conflict of interest: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.


 Yang M and Salman A (2024). Analysis of correlating factors: Social media addiction in Shanghai's Generation Z. International Journal of Advanced and Applied Sciences, 11(1): 129-136

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