A meta-analysis of social media fatigue: Drivers and a major consequence

Mengxue Ou, Han Zheng*, Hye Kyung Kim, Xiaoyu Chen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

26 Citations (Scopus)

Abstract

Guided by the stressor-strain-outcome framework, this meta-analysis synthesizes 64 empirical studies (N = 28,357) on a list of drivers (i.e., psychological, behavioral, and environmental stressors) and a major consequence (i.e., use discontinuance) of social media fatigue. Results suggest that the behavioral stressor (i.e., SNS addiction) and psychological stressors (i.e., information overload, social overload, system feature overload, and SNS anxiety) demonstrate the largest effects on social media fatigue, whereas environmental stressors (i.e., SNS complexity and SNS usefulness) yield small-to-medium effects. The effect size of social media fatigue on use discontinuance is at a medium-to-large level. Gender, education, social media platform, and sampling method significantly moderate the associations between some stressors and social media fatigue. The meta-analytic structural equation modeling analysis (MASEM) shows that social media fatigue partially mediates the effects of psychological and behavioral stressors on social media use discontinuance. Theoretical and practical implications of this review are discussed.

Original languageEnglish
Article number107597
JournalComputers in Human Behavior
Volume140
DOIs
Publication statusPublished - Mar 2023
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2022 Elsevier Ltd

ASJC Scopus Subject Areas

  • Arts and Humanities (miscellaneous)
  • Human-Computer Interaction
  • General Psychology

Keywords

  • Meta-analysis
  • Meta-analytic structural equation modeling
  • Social media fatigue

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