The effects of social media restriction: Meta-analytic evidence from randomized controlled trials

Calls to limit social media use permeate public discourse, with the fundamental assumption that limiting social media use will improve subjective well-being. This meta-analysis quantifies whether and how social media restriction affects subjective well-being. Included studies were those that were randomized controlled trials, instructed participants to limit or entirely abstain from social media use for a discrete period, and had at least one subjective well-being outcome. Thirty-two articles fit our criteria and were included in analyses (5,544 individuals; 91 effect sizes). All studies included college student or adult samples ( M age = 23.38) and samples skewed female (70%). Random effects models revealed that restricting social media use significantly improved subjective well-being ( ḡ = .17, 95% CI [0.08, 0.27]). Effects were observed across both positive subjective well-being indicators ( ḡ = .17, 95% CI [0.04, 0.29]) and negative subjective well-being indicators ( ḡ = .18, 95% CI [0.08, 0.27]). There was some variability in estimates based on individual indicators (e.g., life satisfaction, depressive symptoms). Moderation by study characteristics (age, gender, length of intervention, type of intervention) was not consistent. Although significant, the pooled estimates were small in magnitude, suggesting only weak support for the effectiveness of restricting social media use. Implications are discussed in the context of theoretical mechanisms in which negative (and positive) social media effects are expected to emerge. Future studies should focus on these mechanisms, rather than broadly restricting time spent using social media use. • There is much debate on how social media affects well-being • This meta-analysis quantifies how social media restriction affects well-being • Social media restriction yielded a significant but small and heterogeneous effect • Future work should target theoretical mechanisms instead of broad restriction

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Publication Details

Journal
SSM - Mental Health
Published
2025-05-06
DOI
https://doi.org/10.1016/j.ssmmh.2025.100459
Citations
8
Primary Topic
Impact of Technology on Adolescents
Type
article
Field-Weighted Citation Impact
33.61
Controls
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article

The effects of social media restriction: Meta-analytic evidence from randomized controlled trials

Kaitlyn Burnell, Madeleine J. George, Diana J. Meter, Fernanda C. Andrade et al.
8 citations
SSM - Mental Health
Impact of Technology on Adolescents
33.61
article

The effects of social media restriction: Meta-analytic evidence from randomized controlled trials

Kaitlyn Burnell, Madeleine J. George, Diana J. Meter, Fernanda C. Andrade, Ashley Slocum
article en
8 citations

Abstract

Calls to limit social media use permeate public discourse, with the fundamental assumption that limiting social media use will improve subjective well-being. This meta-analysis quantifies whether and how social media restriction affects subjective well-being. Included studies were those that were randomized controlled trials, instructed participants to limit or entirely abstain from social media use for a discrete period, and had at least one subjective well-being outcome. Thirty-two articles fit our criteria and were included in analyses (5,544 individuals; 91 effect sizes). All studies included college student or adult samples ( M age = 23.38) and samples skewed female (70%). Random effects models revealed that restricting social media use significantly improved subjective well-being ( ḡ = .17, 95% CI [0.08, 0.27]). Effects were observed across both positive subjective well-being indicators ( ḡ = .17, 95% CI [0.04, 0.29]) and negative subjective well-being indicators ( ḡ = .18, 95% CI [0.08, 0.27]). There was some variability in estimates based on individual indicators (e.g., life satisfaction, depressive symptoms). Moderation by study characteristics (age, gender, length of intervention, type of intervention) was not consistent. Although significant, the pooled estimates were small in magnitude, suggesting only weak support for the effectiveness of restricting social media use. Implications are discussed in the context of theoretical mechanisms in which negative (and positive) social media effects are expected to emerge. Future studies should focus on these mechanisms, rather than broadly restricting time spent using social media use. • There is much debate on how social media affects well-being • This meta-analysis quantifies how social media restriction affects well-being • Social media restriction yielded a significant but small and heterogeneous effect • Future work should target theoretical mechanisms instead of broad restriction

SSM - Mental HealthVol. 7
University of North Carolina at Chapel Hill (US), Utah State University (US), Duke University (US), RTI International (US)
Reduced inequalities
Openalex Percentile: Top 0%
Impact of Technology on Adolescents
33.61
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