Study2020Open access

Exploring the Role of Social Media Use Motives, Psychological Well-Being, Self-Esteem, and Affect in Problematic Social Media Use

Schivinski B, Brzozowska-Woś M, Stansbury E, Satel J, Montag C, Pontes HM

Frontiers in psychology · 31 citations

How it was studied

Design
Cross-sectional study (classified by our AI screen)
Studied in
People
Main outcome
Health markers and function

Who paid for it

Funding
Independent funding

Based on full-text disclosure statement.

Publication

Published
2020-12-16 · Front Psychol · vol. 11 · p. 617140
Publisher
Frontiers Media
Cited
107 citations · more than 99% of similar papers · 13.8× the field average
Impact
Top 10% most cited in its field
References
86 works
Access
Open access (journal) · CC-BY
Research areas
Impact of Technology on Adolescents · Social Media and Politics · Child Development and Digital Technology
Keywords
social media addiction, motivations for social media use, psychological well-being, self-esteem, positive affect, negative affect

6 authors

From AU, PL, GB, DE

  • Bruno SchivinskiUniversity of Tasmania; RMIT University
  • Magdalena Brzozowska-WośGdańsk University of Technology
  • Ellena StansburyNottingham Trent University
  • Jason SatelUniversity of Tasmania
  • Christian MontagUniversität Ulm
  • Halley M. Pontes · correspondingUniversity of Tasmania

Abstract

Given recent advances in technology, connectivity, and the popularity of social media platforms, recent literature has devoted great attention to problematic Facebook use. However, exploring the potential predictors of problematic social media use beyond Facebook use has become paramount given the increasing popularity of multiple alternative platforms. In this study, a sample of 584 social media users (M age = 32.28 years; 67.81% female) was recruited to complete an online survey assessing sociodemographic characteristics, patterns, and preferences of social media use, problematic social media use (PSMU), social media use motives, psychological well-being, self-esteem, and positive and negative affect. Results indicated that 6.68% (n = 39) of all respondents could be potentially classed as problematic users. Moreover, further analysis indicated that intrapersonal motive (β = 0.38), negative affect (β = 0.22), daily social media use (β = 0.18), surveillance motive (β = 0.12), and positive affect (β = -0.09) each predicted PSMU. These variables accounted for about 37% of the total variance in PSMU, with intrapersonal motive driving the greatest predictive contribution, over and above the effects of patterns of social media use and sociodemographic variables. These findings contribute to the increasing literature on PSMU. The results of this study are discussed in light of the existing literature on PSMU.

Abstract via Europe PMC. Copyright remains with the authors or publisher (CC BY).

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