Cited by 27Impact of Technology on AdolescentsCOVID-19 and Mental HealthMental Health via Writing

A four-level meta-analytic review of the relationship between social media and well-being: a fresh perspective in the context of COVID-19

Open access
Wong, Joax, Yi, Poh Xin, Quek, Frosch Y. X., Lua, Verity Y. Q., Majeed, Nadyanna M., Hartanto, Andree·2024·Current Psychology

Abstract

Social media, one of the most pervasive forms of technology, has been widely studied in relation to the mental health and well-being of individuals. However, the current literature on social media and well-being has provided mixed and inconclusive findings, thus creating a polarizing view of social media. These mixed findings continue to extend into the pandemic, with researchers debating over the effects of social media in the new norms of social isolation. In light of these inconclusive findings, the aim of our meta-analysis was to synthesize previous research data in order to have a holistic understanding of the association between social media and well-being, particularly in the present context of COVID-19. The current meta-analysis systematically investigated 155 effect sizes from 42 samples drawn from 38 studies published during the COVID-19 pandemic ( N = 43,387) and examined the potential moderators in the relationship between social media and well-being, such as the different operationalizations of social media usage and demographics. Overall, our study found that the relationship between social media usage and well-being was not significant in the context of COVID-19. Additionally, the impact of various moderators on the relationship between social media and well-being was found to vary. We discuss the various theoretical, methodological and practical implications of these findings and highlight areas where further research is necessary to shed light on the complex and nuanced relationship between social media and well-being.

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  • Findings on the association between social media use and depression remain inconclusive, with some meta-analyses reporting negative associations and others positive associations.

    “Furthermore, find­ ings remain inconclusive as some meta-analyses reported negative as­ sociations between SMU and depression (Ma, 2022; Wong et al., 2022), while others reported positive associations (Cunningham et al., 2021; Ivie et al., 2020; Vahedi and Zannella, 2021; Yang et al., 2022; Yoon et al., 2019).”

    From Social media use, mental health and sleep: A systematic review with meta-analyses (2024) · cites this paper as Wong et al., 2022

    The Results (Overall effect size; page unavailable) report no significant association between social media use and well-being, rather than a negative association with depression. The Discussion says this null finding held across well-being measures including depression, and reports positive associations between social media use and depressive symptoms in earlier meta-analyses. (LLM, conf=0.87)

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Authors
Wong, J., Yi, P. X., Quek, F. Y. X., Lua, V. Y. Q., Majeed, N. M., & Hartanto, A.
Affiliations
Singapore Management University (SG)
Corresponding author
  • Wong, Joax
  • Hartanto, Andree
Venue
Current Psychology
Published
2022-12-14
Volume
43
Issue
16
Pages
14972-14986
ISSN
  • 1046-1310 (ISSN-L)
  • 1936-4733
OpenAlex
W4311493670
Cited by
27
References
131
Citations by year
2026: 6 · 2025: 10 · 2024: 5 · 2023: 6
FWCI
7.55
Type
journal article
Language
en
Open access
Locations
  • Current Psychology (publishedVersion, other-oa)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • Singapore Management University Institutional Knowledge (InK) (Singapore Management University) (submittedVersion)
Funders
Singapore Management University (21-SOSS-SMU-023)
Topics
  • Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
  • Social Sciences › Psychology › Clinical Psychology › COVID-19 and Mental Health
  • Social Sciences › Psychology › Social Psychology › Mental Health via Writing
Keywords
social media, well-being, COVID-19 pandemic, social isolation, mental health, social media use, demographic differences

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