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A systematic review and meta-analysis of discrepancies between logged and self-reported digital media use
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Abstract
There is widespread public and academic interest in understanding the uses and effects of digital media. Scholars primarily use self-report measures of the quantity or duration of media use as proxies for more objective measures, but the validity of these self-reports remains unclear. Advancements in data collection techniques have produced a collection of studies indexing both self-reported and log-based measures. To assess the alignment between these measures, we conducted a pre-registered meta-analysis of this research. Based on 106 effect sizes, we found that self-reported media use correlates only moderately with logged measurements, that self-reports were rarely an accurate reflection of logged media use and that measures of problematic media use show an even weaker association with usage logs. These findings raise concerns about the validity of findings relying solely on self-reported measures of media use.
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“However, although log-based measures are often seen as the gold standard, they have their own validity threats, such as technical errors and the erroneous tracing of SM apps running in the background when the screen is turned off [42,43].”
From Social media use and its impact on adolescent mental health: An umbrella review of the evidence. (2022) · cites this paper as [42]
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In the citing paper
“Despite these encouraging findings, the uMARS is a self-report measure, which according to a recent meta-analysis (Parry et al., 2021) may not be a reliable indicator of actual usage.”
From Pilot study of a well-being app to support New Zealand young people during the COVID-19 pandemic (2021) · cites this paper as Parry et al., 2021
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In the citing paper
“It was recently suggested that that device-based measures can provide a more accurate assessment of social media use than self-reported tools (Parry et al., 2021;Sewall et al., 2022).”
From Relation Between Social Media Use and Body Image Concerns and Disordered Eating in Adolescence: A Systematic Review and Meta-Analysis (2026) · cites this paper as Parry et al., 2021
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In the citing paper
“Indeed, self-report measures of time spent with SM correlate only moderately with similar log-based measures [42,43].”
From Social media use and its impact on adolescent mental health: An umbrella review of the evidence. (2022) · cites this paper as [42]
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In the citing paper
“a recent systematic review has evidenced that the correspondence between self-reported and logged social media use is far from perfect (Parry et al., 2021).”
From Do New Forms of Reading Pay Off? A Meta-Analysis on the Relationship Between Leisure Digital Reading Habits and Text Comprehension (2025) · cites this paper as Parry et al., 2021
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“a recent meta-analysis found only moderate correlations between self-reported and objective measures of use (Parry et al., 2021).”
From Time Spent on Social Media and Associations with Mental Health in Young Adults: Examining TikTok, Twitter, Instagram, Facebook, Youtube, Snapchat, and Reddit (2025) · cites this paper as Parry et al., 2021
In the citing paper
“A recent meta-analysis has found that self-reported media use correlates only moderately with logged measurements and that self-reports are a somewhat inaccurate reflection of logged (true) media use76.”
From The impact of digital media on children’s intelligence while controlling for genetic differences in cognition and socioeconomic background (2022) · cites this paper as [76]
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Cites
Bias in meta-analysis detected by a simple, graphical test
Egger, M., Smith, G. D., Schneider, M., & Minder, C. (1997) · BMJ · doi:10.1136/bmj.315.7109.629 · Cited by 56,722
Conducting Meta-Analyses in R with the metafor Package
Viechtbauer, W. (2010) · Journal of Statistical Software · doi:10.18637/jss.v036.i03 · Cited by 20,464
Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2021) · doi:10.1002/9781119558378 · Cited by 9,799
Analyzing the Past to Prepare for the Future: Writing a Literature Review
Webster, J., & Watson, R. T. (2002) · MIS Quarterly · doi:10.2307/4132319 · Cited by 7,449
Robust variance estimation in meta‐regression with dependent effect size estimates
Hedges, L. V., Tipton, E., & Johnson, M. C. (2010) · Research Synthesis Methods · doi:10.1002/jrsm.5 · Cited by 2,086
Peters, J. L., Sutton, A. J., Jones, D. R., Abrams, K. R., & Rushton, L. (2008) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2007.11.010 · Cited by 2,053
The association between adolescent well-being and digital technology use
Orben, A., & Przybylski, A. K. (2019) · Nature Human Behaviour · doi:10.1038/s41562-018-0506-1 · Cited by 1,500 · cited 1×
“…these debates and developing a deeper understanding of the role of media use in human behaviour requires “transparent and robust analytical practices” 4 , but also confidence that the measures that are adopted to assess use of digital media are valid indicators of actual usage patterns 5,6 .”
BackgroundDevelopment and validation of a Game Addiction Scale for adolescents
Lemmens, J. S., Valkenburg, P. M., & Peter, J. (2009) · Media Psychology · doi:10.1080/15213260802669458 · Cited by 1,428
Social network activity and social well-being
Burke, M., Marlow, C., & Lento, T. (2010) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1753326.1753613 · Cited by 1,109
Measurement Schmeasurement: Questionable Measurement Practices and How to Avoid Them
Flake, J. K., & Fried, E. I. (2020) · Advances in Methods and Practices in Psychological Science · doi:10.1177/2515245920952393 · Cited by 969
Research works printed but not linked: 6
- Parry, D., et al. Associations between log-based and self-reported digital media use: a systematic review and meta-analysis protocol. Preprint at OSF Preprints https://osf.io/xrg5c (2020).
- Newell, C. A. Masters dissertation Smartphone and Social Media Use and Its Health Associations (Univ. Texas at Arlington, 2018).
- Oeldorf-Hirsch, A., & Chen, Y. Who Cares about Screen Time? Predicting the use of Mobile Phone Tracking Features. Presented at the 70th Annual Conference of the International Communication Association (ICA), Gold Coast, Australia (virtual conference) (2020)
- Shin, M. & Lee, K. Measuring smartphone usage time is not sufficient to predict smartphone addiction. J. Theor. Appl. Inform. Technol. 95, 5296–5303 (2017).
- Nunnally, J. Psychometric Theory 3rd edn (McGraw-Hill Education, 1994).
- Salganik, M. J. Bit by Bit: Social Research in the Digital Age (Princeton Univ. Press, 2019).
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Finnegan, O., Weaver, R. G., Burkart, S. A., Armstrong, B., Adams, E. L., Pfledderer, C. D., McLain, A. C., Brazendale, K., Zhu, X., White, J. W., et al. (2026) · BMC Public Health · doi:10.1186/s12889-026-27417-x
de Wiele, E. V., Baillien, E., Winne, S. D., Verbruggen, M., & den Broeck, A. V. (2026) · The Spanish Journal of Psychology · doi:10.1017/sjp.2026.10026
Okan, N. (2026) · Research Square · doi:10.21203/rs.3.rs-9403077/v1
Jakobsson, M., Björling, G., Broström, A., Huus, K., Eriksson, M., Bengtsson, S., Griffiths, M. D., & Pakpour, A. (2026) · Addictive Behaviors Reports · doi:10.1016/j.abrep.2026.100704 · Cited by 1
Two-Stream Adaptive Neural Network for Personalized Mental Health Trend Forecasting
Arif, M. H., Tanvir, M. I. M., Nadia, N. Y., Rabby, H. R., Ahmed, M., & Firdaus, S. (2025) · International Conference on Computer and Information Technology (ICCIT) · doi:10.1109/iccit68739.2025.11490256
Metadata
- Authors
- Parry, D. A., Davidson, B. I., Sewall, C. J. R., Fisher, J. T., Mieczkowski, H., & Quintana, D. S.
- Affiliations
- Stellenbosch University (ZA)
- University of Bristol (GB)
- University of Pittsburgh (US)
- University of Illinois Urbana-Champaign (US)
- Stanford University (US)
- Oslo University Hospital (NO)
- Corresponding author
- Parry, Douglas A.
- ORCID
- Venue
- Nature Human Behaviour
- Published
- 2021-05-17
- Volume
- 5
- Issue
- 11
- Pages
- 1535-1547
- ISSN
- 2397-3374 (ISSN-L)
- OpenAlex
- W3162414724
- Semantic Scholar
- da0492d6a38ad15f97a61ede4cdb7cfa4d655571
- Cited by
- 793
- References
- 108
- Citations by year
- 2026: 152 · 2025: 150 · 2024: 145 · 2023: 165 · 2022: 117 · 2021: 56
- FWCI
- 23.13
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Licence
- Locations
- Nature Human Behaviour (publishedVersion)
- PubMed (publishedVersion)
- VU Research Portal (publishedVersion)
- Pure (University of Bath) (submittedVersion, other-oa)
- RePEc: Research Papers in Economics (submittedVersion)
- PsyArXiv (OSF Preprints) (submittedVersion, cc-by)
- PsyArXiv (OSF Preprints) (submittedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Education › Child Development and Digital Technology
- Social Sciences › Communication › Media and Digital Communication
- Keywords
- digital media use, usage logs, measurement validity, self-report accuracy, problematic media use, self-assessment bias
- MeSH terms
- Screen Time, Humans, Reproducibility of Results, Self Report, Social Media
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