The DOI matches its Crossref record; 60 of the 64 references it cites were found in a registry or an index.
Retracted: Digital Communication Media Use and Psychological Well-Being: A Meta-Analysis
Open accessAbstract
The puzzle of whether digital media are improving or harming psychological well-being has been plaguing researchers and the public for decades. Derived from media richness theory, this study proposed that phone calls and texting improve well-being, while use of social network sites (SNSs), instant messaging (IM), and online gaming may displace other social contacts and, thereby, impair well-being. To test this hypothesis, a meta-analysis of 124 studies was conducted. The results showed that phone calls and texting were positively correlated with well-being, whereas online gaming was negatively associated with well-being. Furthermore, the relationship between digital media use and well-being was also contingent upon the way the technology was used. A series of meta-analyses of different types of SNS use and well-being was used to elucidate this point: interaction, self-presentation, and entertainment on SNSs were associated with better well-being, whereas consuming SNSs’ content was associated with poorer well-being.
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“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 [7]
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“This perspective aligns with the displacement hypothesis, which posits that time spent on social media may have detrimental effects by displacing activities that are beneficial to well-being and health—for example, sleep, exercise, or face-to-face interactions.7,26”
From Social Media Use and Its Link to Physical Health Indicators (2022) · cites this paper as [7]
In the citing paper
“Although there is no consensus, a large body of research indicates a small, negative association between social media use and psychological well-being (Liu et al., 2019; Kross et al., 2021; also see Orben et al., 2019).”
From Social media use and systemic inflammation: The moderating role of self-esteem (2021) · cites this paper as Liu et al., 2019
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Cites
Quantifying heterogeneity in a meta‐analysis
Higgins, J. P. T., & Thompson, S. G. (2002) · Statistics in Medicine · doi:10.1002/sim.1186 · Cited by 36,763
The Presentation of Self in Everyday Life.
Naegele, K. D., & Goffman, E. (1956) · American Sociological Review · doi:10.2307/2089106 · Cited by 26,049
The need to belong: Desire for interpersonal attachments as a fundamental human motivation.
Baumeister, R. F., & Leary, M. R. (1995) · Psychological Bulletin · doi:10.1037//0033-2909.117.3.497 · Cited by 23,245
Self-citationA theory of social comparison processes
Festinger, L. (1954) · Human Relations · doi:10.1177/001872675400700202 · Cited by 20,926
Happiness is everything, or is it? Explorations on the meaning of psychological well-being.
Ryff, C. D. (1989) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.57.6.1069 · Cited by 14,847
The structure of psychological well-being revisited.
Ryff, C. D., & Keyes, C. L. M. (1995) · Journal of Personality and Social Psychology · doi:10.1037//0022-3514.69.4.719 · Cited by 10,285
Organizational Information Requirements, Media Richness and Structural Design
Daft, R. L., & Lengel, R. H. (1986) · Management Science · doi:10.1287/mnsc.32.5.554 · Cited by 9,868
(2000) · Cited by 9,198
Baumeister, R. F., Bratslavsky, E., Finkenauer, C., & Vohs, K. D. (2001) · Review of General Psychology · doi:10.1037/1089-2680.5.4.323 · Cited by 7,678
Self-citationMethods of Meta-Analysis: Correcting Error and Bias in Research Findings
Schmidt, F. L., & Hunter, J. E. (2015) · doi:10.4135/9781483398105 · Cited by 5,542
Research works printed but not linked: 2
- Borenstein, 2014, Comprehensive meta-analysis version 3 [Computer software]
- Simonsohn, 2014, P-curve and effect size: Correcting for publication bias using only significant results, Perspectives on Psychological Science, 9, 666, 10.1177/1745691614553988 · DOI · Paper page
Cited by
Sorted by citations
Social media use and its impact on adolescent mental health: An umbrella review of the evidence.
Valkenburg, P. M., Meier, A., & Beyens, I. (2022) · Current opinion in psychology · doi:10.1016/j.copsyc.2021.08.017 · Cited by 767
Meier, A., & Reinecke, L. (2021) · Communication Research · doi:10.1177/0093650220958224 · Cited by 534
Social comparison on social networking sites
Verduyn, P., Gugushvili, N., Massar, K., Täht, K., & Kross, E. (2020) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2020.04.002 · Cited by 500
Social Media and Well-Being: Pitfalls, Progress, and Next Steps
Kross, E., Verduyn, P., Sheppes, G., Costello, C. K., Jonides, J., & Ybarra, O. (2021) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2020.10.005 · Cited by 474
Pandya, A., & Lodha, P. (2021) · Frontiers in Human Dynamics · doi:10.3389/fhumd.2021.684137 · Cited by 371
Metadata
- Authors
- Liu, D., Baumeister, R. F., Yang, C.-C., & Hu, B.
- Affiliations
- Renmin University of China (CN)
- The University of Queensland (AU)
- Oklahoma State University (US)
- Corresponding author
- Baumeister, Roy F
- Venue
- Journal of Computer-Mediated Communication
- Publisher
- Oxford University Press (OUP)
- Published
- 2019-09-01
- Volume
- 24
- Issue
- 5
- Pages
- 259-273
- ISSN
- 1083-6101 (ISSN-L)
- OpenAlex
- W2979901578
- Cited by
- 260
- References
- 64
- Citations by year
- 2026: 13 · 2025: 17 · 2024: 34 · 2023: 62 · 2022: 69 · 2021: 46 · 2020: 19
- FWCI
- 8.60
- Type
- journal article
- Language
- en
- Status
- Retracted
- Open access
- bronze
- doi.org
- Licence
- academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model (vor)
- Locations
- Journal of Computer-Mediated Communication (publishedVersion)
- Funders
- Key Research Institute of Humanities and Social Sciences in Universities (16JJD860008)
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Communication › Media and Digital Communication
- Health Sciences › Medicine › Geriatrics and Gerontology › Technology Use by Older Adults
- Keywords
- digital media use, psychological well-being, media richness theory, telephone calls, text messaging, social network sites, instant messaging, online games, self-presentation, media interaction, media use, entertainment use
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