Are Social Media Ruining Our Lives? A Review of Meta-Analytic Evidence
Abstract
A growing number of studies have examined the psychological corollaries of using social networking sites (SNSs) such as Facebook, Instagram, or Twitter (often called social media). The interdisciplinary research area and conflicting evidence from primary studies complicate the assessment of current scholarly knowledge in this field of high public attention. We review meta-analytic evidence on three hotly debated topics regarding the effects of SNSs: well-being, academic achievement, and narcissism. Meta-analyses from different laboratories draw a rather equivocal picture. They show small associations in the r = .10 range between the intensity of SNS use and loneliness, self-esteem, life satisfaction, or self-reported depression, and somewhat stronger links to a thin body ideal and higher social capital. There is no indication for potential devastating effects of social media on school achievement; social media use and school grades are unrelated for adolescents. The meta-analyses revealed small to moderate associations between narcissism and SNS use. In sum, meta-analytic evidence is not in support of dramatic claims relating social media use to mischief.
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Meta-analyses have identified small or negligible negative links between social media use and well-being.
“Meta-analyses have identified small or negligible negative links between social media use and well-being6,7”
From Windows of developmental sensitivity to social media (2022) · cites this paper as [7]
Usually, new technologies tend to have complex and multilayered effects on individuals and societies, which are not simply black or white; that is, the question whether digital technologies have desirable or problematic effects on autobiographical remembering is likely to be too superficial to account for the complexity of reality.
“Usually, new technologies tend to have complex and multilayered effects on individuals and societies, which are not simply black or white; that is, the question whether digital technologies have desirable or problematic effects on autobiographical remembering is likely to be too superficial to account for the complexity of reality (cf.Appel et al., 2020;Orben & Przybylski, 2019).”
From Understanding Autobiographical Memory in the Digital Age: The AMEDIA-Model (2024) · cites this paper as Appel et al., 2020
A power analysis based on a small-to-medium effect size (f2 = 0.09) indicated that a sample size of 200 provides 90 percent power (α = 0.05) to detect a significant effect, and the authors aimed to recruit 250 participants.
“A power analysis using G*Power based on a small-to-medium effect size (f2 = 0.09) between social media use and each of our dependent variables indicated that a sample size of 200 provides 90 percent power (α = 0.05) to detect a significant effect; we intentionally oversampled and aimed to recruit 250 participants to account for participants who opt out of providing blood samples.”
From Social Media Use and Its Link to Physical Health Indicators (2022) · cites this paper as [42]
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- Authors
- Appel, M., Marker, C., & Gnambs, T.
- Affiliations
- University of Würzburg (DE)
- Johannes Kepler University of Linz (AT)
- Corresponding author
- Appel, Markus
- Venue
- Review of General Psychology
- Publisher
- SAGE Publications
- Published
- 2019-10-16
- Volume
- 24
- Issue
- 1
- Pages
- 60-74
- ISSN
- 1089-2680 (ISSN-L)
- 1939-1552
- OpenAlex
- W2981075629
- Semantic Scholar
- cbd4f71d3c79a5521394000d393dd6917cb231b8
- Cited by
- 290
- References
- 111
- Citations by year
- 2026: 43 · 2025: 48 · 2024: 54 · 2023: 47 · 2022: 51 · 2021: 32 · 2020: 14
- FWCI
- 48.71
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Review of General Psychology (publishedVersion)
- Funders
- Deutsche Forschungsgemeinschaft (AP 207/2-1)
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Physical Sciences › Computer Science › Computer Science Applications › Digital Media and Philosophy
- Social Sciences › Psychology › Clinical Psychology › Personality Traits and Psychology
- Keywords
- social media use, social networking sites, well-being, loneliness, self-esteem, life satisfaction, depression, thin ideal, social capital, academic performance, narcissism, adolescents, Facebook, Instagram, Twitter
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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