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Open Access
Article
Publication date: 6 March 2020

Aqdas Malik, Amandeep Dhir, Puneet Kaur and Aditya Johri

The current study aims to investigate if different measures related to online psychosocial well-being and online behavior correlate with social media fatigue.

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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.

Details

Information Technology & People, vol. 34 no. 2
Type: Research Article
ISSN: 0959-3845

Keywords

Content available
Book part
Publication date: 29 August 2022

Aaditeshwar Seth

Abstract

Details

Technology and (Dis)Empowerment: A Call to Technologists
Type: Book
ISBN: 978-1-80382-393-5

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