Depressive Mood and Compulsive Social Media Usage: The Mediating Roles of Contingent Self-Esteem and~Social Interaction Fears

Fayaz Ali, Muhammad Zubair Tauni (), Muhammad Ashfaq, Q. Zhang and T. Ahsan
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Fayaz Ali: Shenzhen University [Shenzhen]
Muhammad Zubair Tauni: Métis Lab EM Normandie - EM Normandie - École de Management de Normandie = EM Normandie Business School
Muhammad Ashfaq: Shenzhen University [Shenzhen]
Q. Zhang: Shenzhen University [Shenzhen]

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Abstract: Purpose: Given the limited literature on depression as a contributing factor to compulsive social media use, the present research examines the role of perceived depressive mood (PDM) in developing compulsive social media use behavior. The authors also identify and hypothesize channels such as contingent self-esteem (CSE), social interaction anxiety (SIA) and fear of negative evaluation (FNE), which may explain how PDM affects compulsive social media use. Design/methodology/approach: The research model was empirically tested with a survey of 367 Chinese university students using structural equation modeling by drawing on the escape and self-presentation lenses. Findings: The findings indicate that PDM contributes to compulsive social media use behavior both directly and indirectly through CSE. Furthermore, the impact of CSE on compulsive social media use is mediated by the FNE, whereas SIA fails to mediate this effect. Practical implications: The results can advance the authors' knowledge of the role and process by which depressive mood impacts compulsive social media use. These findings may add insights into psychological treatment and help in, for example, developing counseling programs or coping strategies for depressed people to protect them from using social media excessively. Originality/value: This research identifies the pathway mechanism between PDM and compulsive use of social media. It also increases the understanding of how CSE and social interaction deficiencies contribute to compulsive social media usage (CSMU). \textcopyright 2023, Emerald Publishing Limited.

Keywords: Behavior; Internet addiction; People; Perception; Social media; Social networking (search for similar items in EconPapers)
Date: 2023
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Published in Information Technology and People, 2023, ⟨10.1108/ITP-01-2021-0057⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04434016

DOI: 10.1108/ITP-01-2021-0057

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