A1 Refereed original research article in a scientific journal
Correlates of social media fatigue and academic performance decrement A large cross-sectional study
Authors: Aqdas Malik, Amandeep Dhir, Puneet Kaur, Aditya Johri
Publisher: EMERALD GROUP PUBLISHING LTD
Publication year: 2020
Journal: Information Technology and People
Journal name in source: INFORMATION TECHNOLOGY & PEOPLE
Journal acronym: INFORM TECHNOL PEOPL
Number of pages: 24
ISSN: 0959-3845
eISSN: 1758-5813
DOI: https://doi.org/10.1108/ITP-06-2019-0289
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/46941863
Purpose The current study aims to investigate if different measures related to online psychosocial well-being and online behavior correlate with social media fatigue. Design/methodology/approach To understand the antecedents and consequences of social media fatigue, the stressor-strain-outcome (SSO) framework is applied. The study consists of two cross-sectional surveys that were organized with young-adult students. Study A was conducted with 1,398 WhatsApp users (aged 19 to 27 years), while Study B was organized with 472 WhatsApp users (aged 18 to 23 years). Findings Intensity of social media use was the strongest predictor of social media fatigue. Online social comparison and self-disclosure were also significant predictors of social media fatigue. The findings also suggest that social media fatigue further contributes to a decrease in academic performance. Originality/value This study builds upon the limited yet growing body of literature on a theme highly relevant for scholars, practitioners as well as social media users. The current study focuses on examining different causes of social media fatigue induced through the use of a highly popular mobile instant messaging app, WhatsApp. The SSO framework is applied to explore and establish empirical links between stressors and social media fatigue.
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