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

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

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

17 Citations (Scopus)
296 Downloads (Pure)

Abstract

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.

Original languageEnglish
Number of pages24
JournalINFORMATION TECHNOLOGY AND PEOPLE
Early online date1 Jan 2020
DOIs
Publication statusPublished - 8 Mar 2020
MoE publication typeA1 Journal article-refereed

Keywords

  • Academic performance decrement
  • Fear of missing out (FoMO)
  • Online privacy
  • Self-disclosure
  • Social comparison
  • Social media fatigue

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