Correlates of social media fatigue and academic performance decrement A large cross-sectional study



: Aqdas Malik, Amandeep Dhir, Puneet Kaur, Aditya Johri

Publisher: EMERALD GROUP PUBLISHING LTD

: 2020

: Information Technology and People

: INFORMATION TECHNOLOGY & PEOPLE

: INFORM TECHNOL PEOPL

: 24

: 0959-3845

: 1758-5813

DOI: https://doi.org/10.1108/ITP-06-2019-0289

: 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.

Last updated on 2024-26-11 at 11:41