Cited by 139Impact of Technology on AdolescentsChild Development and Digital TechnologyDigital Media and Philosophy

The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.

How psychosocial well-being and usage amount predict inaccuracies in retrospective estimates of digital technology use

Sewall, Craig J. R., Bear, Todd M., Merranko, John, Rosen, Daniel·2020·Mobile Media & Communication

DOI 10.1177/2050157920902830

Open this paper in CoChat — free account

Abstract

Using Apple’s Screen Time application to obtain reported actual iPhone and social media (SM) use, we examined the accuracy of retrospective estimates of usage, how inaccuracies bias associations between use and psychosocial well-being (depression, loneliness, and life satisfaction), and the degree to which inaccuracies were predicted by levels of well-being. Among a sample of 325 iPhone users, we found that (a) participants misestimated their weekly overall iPhone and SM use by 19.1 and 12.2 hours, respectively; (b) correlations between estimated use and well-being variables were consistently stronger than the correlations between reported actual use and well-being variables; and (c) the degree of inaccuracy in estimated use was associated with levels of participant well-being and amount of use. These findings suggest that retrospective estimates of digital technology use may be systematically biased by factors that are fundamental to the associations under investigation. We propose that retrospective estimates of digital technology use may be capturing the construct of perceived use rather than actual use, and discuss how the antecedents, correlates, and consequences of perceived use may be distinct from those of actual use. Implications of these findings are discussed in view of the ongoing debate surrounding the effects of digital technology use on well-being.

Integrity signals

Registry

Crossref · 10.1177/2050157920902830

Cites

51 of 51 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Regression shrinkage and selection via the lasso
Tibshirani, R. (1996) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1996.tb02080.x · Cited by 51,482
The satisfaction with life scale
Diener, E., Emmons, R. A., Larsen, R. J., & Griffin, S. (1985) · Journal of Personality Assessment · doi:10.1207/s15327752jpa4901_13 · Cited by 31,768
The Elements of Statistical Learning
Hastie, T., Tibshirani, R., & Friedman, J. (2009) · Springer Series in Statistics · doi:10.1007/978-0-387-84858-7 · Cited by 25,970
Ecological momentary assessment
Shiffman, S., Stone, A. A., & Hufford, M. R. (2008) · Annual Review of Clinical Psychology · doi:10.1146/annurev.clinpsy.3.022806.091415 · Cited by 6,454
Screening for Depression in Well Older Adults: Evaluation of a Short Form of the CES-D
Andresen, E. M., Malmgren, J. A., Carter, W. B., & Patrick, D. L. (1994) · American Journal of Preventive Medicine · doi:10.1016/s0749-3797(18)30622-6 · Cited by 5,403
The clinical significance of loneliness: a literature review
Heinrich, L. M., & Gullone, E. (2006) · Clinical Psychology Review · doi:10.1016/j.cpr.2006.04.002 · Cited by 1,986 · cited 1×
“Research indicates that these three constructs are strongly correlated with one another and share comparable patterns of associations with various psychosocial variables (Heinrich & Gullone, 2006; Proctor, Linley, & Maltby, 2009; Rubenstein & Shaver, 1982).”
Background
Increases in Depressive Symptoms, Suicide-Related Outcomes, and Suicide Rates Among U.S. Adolescents After 2010 and Links to Increased New Media Screen Time
Twenge, J. M., Joiner, T. E., Rogers, M. L., & Martin, G. N. (2018) · Clinical Psychological Science · doi:10.1177/2167702617723376 · Cited by 1,705
Reputation as a sufficient condition for data quality on Amazon Mechanical Turk
Peer, E., Vosgerau, J., & Acquisti, A. (2014) · Behavior Research Methods · doi:10.3758/s13428-013-0434-y · Cited by 1,618
Facebook Use Predicts Declines in Subjective Well-Being in Young Adults
Kross, E., Verduyn, P., Demiralp, E., Park, J., Lee, D. S., Lin, N., Shablack, H., Jonides, J., & Ybarra, O. (2013) · PLoS ONE · doi:10.1371/journal.pone.0069841 · Cited by 1,596
Relationship of smartphone use severity with sleep quality, depression, and anxiety in university students
Demirci, K., Akgönül, M., & Akpinar, A. (2015) · Journal of Behavioral Addictions · doi:10.1556/2006.4.2015.010 · Cited by 1,529 · cited 1×
“Numerous studies have found a negative relationship between digital technology use and well-being (Booker, Kelly, & Sacker, 2018; Demirci, Akgonul, & Akpinar, 2015; Kelly, Zilanawala, Booker, & Sacker, 2018; Kross et al., 2013; Lin et al., 2016; Twenge et al., 2018), whereas others have found…”
Background

Show all 51 references

Research works printed but not linked: 2

Fiske S., 1984, Social cognition
Tourangeau R., 1984, Cognitive aspects of survey design: Building a bridge between disciplines, 73

Sorted by citations

A systematic review and meta-analysis of discrepancies between logged and self-reported digital media use
Parry, D. A., Davidson, B. I., Sewall, C. J. R., Fisher, J. T., Mieczkowski, H., & Quintana, D. S. (2021) · Nature Human Behaviour · doi:10.1038/s41562-021-01117-5 · Cited by 793
Self-citation
Digital Wellbeing as a Dynamic Construct
Vanden Abeele, M. M. P. (2021) · Communication Theory · doi:10.1093/ct/qtaa024 · Cited by 516
Video game play is positively correlated with well-being
Johannes, N., Vuorre, M., & Przybylski, A. K. (2021) · Royal Society Open Science · doi:10.1098/rsos.202049 · Cited by 330
The Conceptual and Methodological Mayhem of “Screen Time”
K. Kaye, L., Orben, A., A. Ellis, D., C. Hunter, S., & Houghton, S. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17103661 · Cited by 304
The relationship between screen time and mental health in young people: A systematic review of longitudinal studies
Tang, S., Werner-Seidler, A., Torok, M., Mackinnon, A. J., & Christensen, H. (2021) · Clinical Psychology Review · doi:10.1016/j.cpr.2021.102021 · Cited by 284
The accuracy and validity of self-reported social media use measures among adolescents
Verbeij, T., Pouwels, J. L., Beyens, I., & Valkenburg, P. M. (2021) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2021.100090 · Cited by 163
Mobile data donations: Assessing self-report accuracy and sample biases with the iOS Screen Time function
Ohme, J., Araujo, T., de Vreese, C. H., & Piotrowski, J. T. (2020) · Mobile Media & Communication · doi:10.1177/2050157920959106 · Cited by 152
Impact of mobile phones and wireless devices use on children and adolescents’ mental health: a systematic review
Serrano, B. G., Spiers, A. D. V., Ruotong, L., Gangadia, S., Toledano, M. B., & Simplicio, M. C. D. (2022) · European Child & Adolescent Psychiatry · doi:10.1007/s00787-022-02012-8 · Cited by 204
Self-regulation as a key boundary condition in the relationship between social media use and well-being
Reinecke, L., Gilbert, A., & Eden, A. (2022) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2021.12.008 · Cited by 111
Social media and well-being: A methodological perspective
Parry, D. A., Fisher, J. T., Mieczkowski, H., Sewall, C. J. R., & Davidson, B. I. (2021) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2021.11.005 · Cited by 138
Self-citation
Social Media Use and Deliberate Self-Harm Among Youth: A Systematized Narrative Review
Biernesser, C., Sewall, C. J. R., Brent, D., Bear, T., Mair, C., & Trauth, J. (2020) · Children and Youth Services Review · doi:10.1016/j.childyouth.2020.105054 · Cited by 86
Self-citation
Assessing the validity of self-report social media use: Evidence of No relationship with objective smartphone use
Mahalingham, T., McEvoy, P. M., & Clarke, P. J. F. (2023) · Computers in Human Behavior · doi:10.1016/j.chb.2022.107567 · Cited by 73
Does Objectively Measured Social-Media or Smartphone Use Predict Depression, Anxiety, or Social Isolation Among Young Adults?
Sewall, C. J. R., Goldstein, T. R., Wright, A. G. C., & Rosen, D. (2022) · Clinical Psychological Science · doi:10.1177/21677026221078309 · Cited by 64
Self-citation
Adolescent user behaviors on short video application, cognitive functioning and academic performance
Xu, Z., Gao, X., Wei, J., Liu, H., & Zhang, Y. (2023) · Computers & Education · doi:10.1016/j.compedu.2023.104865 · Cited by 78
Experience Sampling Self-Reports of Social Media Use Have Comparable Predictive Validity to Digital Trace Measures
Verbeij, T., Pouwels, J. L., Beyens, I., & Valkenburg, P. M. (2022) · Scientific Reports · doi:10.1038/s41598-022-11510-3 · Cited by 47
Fuzzy constructs in technology usage scales
Davidson, B. I., Shaw, H., & Ellis, D. A. (2022) · Computers in Human Behavior · doi:10.1016/j.chb.2022.107206 · Cited by 63
Direct and indirect relationships between social media use and body satisfaction: A prospective study among adolescent boys and girls
Jarman, H. K., McLean, S. A., Slater, A., Marques, M. D., & Paxton, S. J. (2024) · New Media & Society · doi:10.1177/14614448211058468 · Cited by 53
Objective, subjective, and accurate reporting of social media use: No evidence that daily social media use correlates with personality traits, motivational states, or well-being.
Johannes, N., Nguyen, T.-V. T., Weinstein, N., & Przybylski, A. K. (2021) · Technology Mind and Behavior · doi:10.1037/tmb0000035 · Cited by 53
Priming Effects of Social Media Use Scales on Well-Being Outcomes: The Influence of Intensity and Addiction Scales on Self-Reported Depression
Mieczkowski, H., Lee, A. Y., & Hancock, J. T. (2020) · Social Media + Society · doi:10.1177/2056305120961784 · Cited by 50
Systematic Bias in Self-Reported Social Media Use in the Age of Platform Swinging: Implications for Studying Social Media Use in Relation to Adolescent Health Behavior
Boyle, S. C., Baez, S., Trager, B. M., & LaBrie, J. W. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19169847 · Cited by 49
Mindfulness programs for problematic usage of the internet: A systematic review and meta-analysis
Fendel, J. C., Vogt, A., Brandtner, A., & Schmidt, S. (2024) · Journal of Behavioral Addictions · doi:10.1556/2006.2024.00024 · Cited by 53
Smartphone Use and Academic Performance: A Pervasiveness Approach Beyond Addiction
Gerosa, T., Gui, M., & Büchi, M. (2021) · Social Science Computer Review · doi:10.1177/08944393211018969 · Cited by 53
A comparison of self-report and objective measurements of smartphone and social media usage
Coyne, P., Voth, J., & Woodruff, S. J. (2023) · Telematics and Informatics Reports · doi:10.1016/j.teler.2023.100061 · Cited by 51
Stress and Mood Associations With Smartphone Use in University Students: A 12-Week Longitudinal Study
Bradley, A. H. M., & Howard, A. L. (2023) · Clinical Psychological Science · doi:10.1177/21677026221116889 · Cited by 49
Objectively measured digital technology use during the COVID-19 pandemic: Impact on depression, anxiety, and suicidal ideation among young adults
Sewall, C. J. R., Goldstein, T. R., & Rosen, D. (2021) · Journal of Affective Disorders · doi:10.1016/j.jad.2021.04.008 · Cited by 41
Self-citation
Associations between Self-Reports and Device-Reports of Social Networking Site Use: An Application of the Truth and Bias Model
Burnell, K., George, M. J., Kurup, A. R., Underwood, M. K., & Ackerman, R. A. (2021) · Communication Methods and Measures · doi:10.1080/19312458.2021.1918654 · Cited by 50
Does a 7-day restriction on the use of social media improve cognitive functioning and emotional well-being? Results from a randomized controlled trial
van Wezel, M. M. C., Abrahamse, E. L., & Vanden Abeele, M. M. P. (2021) · Addictive Behaviors Reports · doi:10.1016/j.abrep.2021.100365 · Cited by 36
Associations between social media use and cognitive abilities: Results from a large-scale study of adolescents
Stieger, S., & Wunderl, S. (2022) · Computers in Human Behavior · doi:10.1016/j.chb.2022.107358 · Cited by 39
Which social media platforms matter and for whom? Examining moderators of links between adolescents' social media use and depressive symptoms
Gentzler, A. L., Hughes, J. L., Johnston, M., & Alderson, J. E. (2023) · Journal of Adolescence · doi:10.1002/jad.12243 · Cited by 34
Advancing Automated Content Analysis for a New Era of Media Effects Research: The Key Role of Transfer Learning
Kroon, A. C., Welbers, K., Trilling, D., & van Atteveldt, W. (2023) · Communication Methods and Measures · doi:10.1080/19312458.2023.2261372 · Cited by 39
The utility of behavioral biometrics in user authentication and demographic characteristic detection: a scoping review
Finnegan, O., White, J. W., Armstrong, B., Adams, E. L., Burkart, S. A., Beets, M. W., Nelakuditi, S., Willis, E. A., von Klinggraeff, L., Parker, H., et al. (2024) · Systematic Reviews · doi:10.1186/s13643-024-02451-1 · Cited by 31
Self-compassion moderates the predictive effects of social media use profiles on depression and anxiety
Phillips, W. J., & Wisniewski, A. T. (2021) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2021.100128 · Cited by 39
Does parental media mediation make a difference for adolescents? Evidence from an empirical cohort study of parent-adolescent dyads
Huang, S., Lai, X., Li, Y., Wang, W., Zhao, X., Dai, X., Wang, H., & Wang, Y. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e14897 · Cited by 37
Keep on scrolling? Using intensive longitudinal smartphone sensing data to assess how everyday smartphone usage behaviors are related to well-being
Deters, F. G., & Schoedel, R. (2023) · Computers in Human Behavior · doi:10.1016/j.chb.2023.107977 · Cited by 29
The role of depression in the discrepancy between estimated and actual smartphone use: A cubic response surface analysis.
Sewall, C. J. R., & Parry, D. A. (2021) · Technology Mind and Behavior · doi:10.1037/tmb0000036 · Cited by 30
Self-citation
Complex Daily Activities, Country-Level Diversity, and Smartphone Sensing: A Study in Denmark, Italy, Mongolia, Paraguay, and UK
Assi, K. C., Meegahapola, L., Droz, W., Kun, P., GÖTZEN, A. D., Bidoglia, M., Stares, S., GASKELL, G. D., Chagnaa, A., Ganbold, A., et al. (2023) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3581190 · Cited by 25
A Manifesto for More Productive Psychological Games Research
Ballou, N. (2023) · Games Research and Practice · doi:10.1145/3582929 · Cited by 27
Distinguishing Person-Specific from Situation-Specific Variation in Media Use: A Meta-Analysis
Schnauber-Stockmann, A., Scharkow, M., Karnowski, V., Naab, T. K., Schlütz, D., & Pressmann, P. (2024) · Communication Research · doi:10.1177/00936502241262664 · Cited by 24
Within-Person Fluctuations in Objective Smartphone Use and Emotional Processes During Adolescence: An Intensive Longitudinal Study
Rodman, A. M., Burns, J. A., Cotter, G., Ohashi, Y.-G. B., Rich, R. K., & McLaughlin, K. A. (2024) · Affective Science · doi:10.1007/s42761-024-00247-z · Cited by 33
“Ur a freakin goddess!”: Examining appearance commentary on Instagram.
Burnell, K., George, M. J., Kurup, A. R., & Underwood, M. K. (2021) · Psychology of Popular Media · doi:10.1037/ppm0000341 · Cited by 22
Influence of Social Media Uses and Gratifications on Family Health among U.S. Parents: A Cross-Sectional Study
Olpin, E., Hanson, C. L., & Crandall, A. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20031910 · Cited by 32
Real-world adolescent smartphone use is associated with improvements in mood: An ecological momentary assessment study
Minich, M., & Moreno, M. A. (2024) · PLoS ONE · doi:10.1371/journal.pone.0298422 · Cited by 21
A social constructivist viewpoint of media effects: extending the social influence model of technology use to media effects
Wolfers, L. N. (2024) · Communication Theory · doi:10.1093/ct/qtae015 · Cited by 35
Infant screen media and child development: A prospective community study
Slobodin, O., Hetzroni, O. E., Mandel, M., Nuttman, S. S., Damashi, Z. G., Machluf, E., & Davidovitch, M. (2023) · Infancy · doi:10.1111/infa.12575 · Cited by 20
Agreement between self-reported and objectively measured smartphone use among adolescents and adults
Molaib, K. M., Sun, X., Ram, N., Reeves, B. B., & Robinson, T. N. (2024) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2024.100569 · Cited by 24
Unpacking the relation between children’s use of digital technologies and children’s well-being: A scoping review
Messena, M., & Everri, M. (2022) · Clinical Child Psychology and Psychiatry · doi:10.1177/13591045221127886 · Cited by 27
Parent–adolescent communication in a digital world: A 100‐day diary study
Janssen, L., Beyens, I., de Vaate, N. A. J. D. B., van der Wal, A., Valkenburg, P., & Keijsers, L. (2024) · Child Development · doi:10.1111/cdev.14203 · Cited by 16
Does putting down your smartphone make you happier? the effects of restricting digital media on well-being
Walsh, L. C., Regan, A., Okabe‐Miyamoto, K., & Lyubomirsky, S. (2024) · PLoS ONE · doi:10.1371/journal.pone.0306910 · Cited by 18
Concurrent Validity of Self-Reported Social Media Use in Adolescents and Young Adults: Associations with Objective Data and Psychosocial Functioning
Steele, R. G., Khetawat, D., Christofferson, J. L., & Hall, J. A. (2022) · Journal of Psychopathology and Behavioral Assessment · doi:10.1007/s10862-022-10013-9 · Cited by 17
Use of smartphone apps for mobile communication and social digital pressure: A longitudinal panel study
Herrero, J., Rodríguez‐Díaz, F. J., & Urueña, A. (2022) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2022.122292 · Cited by 18
Smartphone use and well-being in Pakistan: Comparing the effect of self-reported and actual smartphone use
Ejaz, W., Altay, S., & Naeem, G. (2023) · Digital Health · doi:10.1177/20552076231186075 · Cited by 19
When Adolescents’ Self-Worth Depends on Their Social Media Feedback: A Longitudinal Investigation With Depressive Symptoms
Schreurs, L., Lee, A. Y., Liu, X. “., & Hancock, J. T. (2024) · Communication Research · doi:10.1177/00936502241233787 · Cited by 16
Exploring the Relations of Subjective and Objective Instagram Use on Young Adults' Mental Health
Zhao, Y., Cingel, D. P., Xie, L., & Yu, M. (2022) · Telematics and Informatics · doi:10.1016/j.tele.2022.101921 · Cited by 16
Smartphones, social Media and Adolescent mental well-being: the impact of school policies Restricting dayTime use—protocol for a natural experimental observational study using mixed methods at secondary schools in England (SMART Schools Study)
Wood, G., Goodyear, V. A., Adab, P., Al‐Janabi, H., Fenton, S. A. M., Jones, K., Michail, M., Morrison, B., Patterson, P. H., Sitch, A. J., et al. (2023) · BMJ Open · doi:10.1136/bmjopen-2023-075832 · Cited by 22
(In)accuracy and convergent validity of daily end-of-day and single-time self-reported estimations of smartphone use among adolescents
Tkaczyk, M., Tancoš, M., Šmahel, D., Elavsky, S., & Plhák, J. (2024) · Computers in Human Behavior · doi:10.1016/j.chb.2024.108281 · Cited by 19
Bidirectional Associations of Adolescents’ Momentary Social Media Use and Negative Emotions
Colasante, T., Faulkner, K., Kharbotli, D., Malti, T., & Hollenstein, T. (2024) · Affective Science · doi:10.1007/s42761-024-00244-2 · Cited by 14
Improving the Science of Adolescent Social Media and Mental Health: Challenges and Opportunities of Smartphone-Based Mobile Sensing and Digital Phenotyping
Hamilton, J. L., Dreier, M. J., Caproni, B., Fedor, J., Durica, K. C., & Low, C. A. (2024) · Journal of Technology in Behavioral Science · doi:10.1007/s41347-024-00443-5 · Cited by 19
Social Media and Well-being: A Methodological PerspectivePreprint
Parry, D. A., Fisher, J. T., Mieczkowski, H., Sewall, C. J. R., & Davidson, B. I. (2021) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/exhru · Cited by 16
Self-citation
Established Adults, Who Self-Identify as Smartphone and/or Social Media Overusers, Struggle to Balance Smartphone Use for Personal and Work Purposes
Schuster, A. M., Cotten, S. R., & Meshi, D. (2022) · Journal of Adult Development · doi:10.1007/s10804-022-09426-3 · Cited by 14
Examining measurement discrepancies in adolescent screen media activity with insights from the ABCD study
Zhao, Y., Han, X., Bagot, K. S., Tapert, S. F., Potenza, M. N., & Paulus, M. P. (2025) · npj Mental Health Research · doi:10.1038/s44184-025-00131-z · Cited by 12
Social media and mental health: The role of interpersonal relationships and social media use motivations, in a nationally representative, longitudinal sample of Spanish emerging adults
García‐Manglano, J., Fernández, A., Serrano, C., López-Madrigal, C., Fernández-Duval, G., Fernández-Pacheco, P. A. D. L. R., & Sádaba, C. (2024) · Journal of Social and Personal Relationships · doi:10.1177/02654075241230248 · Cited by 12
Psychological perspectives on mobile media: A flyover review
Bayer, J., Reinecke, L., & Abeele, M. M. P. V. (2022) · Mobile Media & Communication · doi:10.1177/20501579221134369 · Cited by 10
It’s not what you do, it’s the way that you do it: An experimental task delineates among passive, reactive and interactive styles of behaviour on social networking sites
Shaw, D. J., Kaye, L. K., Ngombe, N., Kessler, K., & Pennington, C. R. (2022) · PLoS ONE · doi:10.1371/journal.pone.0276765 · Cited by 18
Problematic Smartphone Usage in Singaporean University Students: An Analysis of Self-Reported Versus Objectively Measured Smartphone Usage Patterns
Teo, J. K. H., Chionh, I. Y. L., Hamed, N. A. B. S., & Lai, C. W. K. (2023) · Healthcare · doi:10.3390/healthcare11233033 · Cited by 14
The relationship between trait mindfulness and problematic usage of the internet, screen time, and nomophobia: A systematic review and meta-analysis
Fendel, J. C., Bürkle, J. J., & Schmidt, S. (2025) · Journal of Behavioral Addictions · doi:10.1556/2006.2025.00052 · Cited by 14
Incorporating objective behavioral data in gaming disorder research: Associations between time spent gaming and gaming disorder symptoms
Jin, J. T., Kittaneh, A. A., Sidhu, N. K., & Lechner, W. V. (2022) · Computers in Human Behavior · doi:10.1016/j.chb.2022.107378 · Cited by 10
Fear of Missing Out (FOMO) Toward ICT Use During Public Health Emergencies
Song, X., Song, S., Zhao, Y. C., Min, H., & Zhu, Q. (2021) · Journal of Database Management · doi:10.4018/jdm.2021040102 · Cited by 10
Enjoyment or Indulgence? Social Media Service Usage, Social Gratification, Self-Control Failure and Emotional Health
Liu, Y., Yi, H., & Jiang, C. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20021002 · Cited by 9
“The mixed results may be due to data inaccuracy [9].”
Background
Modeling the factors related to sensibility in cyberbullying of university students
Durak, H. Y., & Avcı, Ü. (2022) · Current Psychology · doi:10.1007/s12144-022-03832-2 · Cited by 9
The Association Between Well-Being and Objectively Measured Versus Self-Reported Smartphone TimePreprint
Walsh, L. C., Okabe‐Miyamoto, K., Regan, A., Twenge, J. M., & Lyubomirsky, S. (2021) · doi:10.31234/osf.io/zcwmv · Cited by 8
Neurobiological sensitivity to popular peers moderates daily links between social media use and affect
Maza, M. T., Kwon, S., Jorgensen, N. A., Capella, J., Prinstein, M. J., Lindquist, K. A., & Telzer, E. H. (2023) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2023.101335 · Cited by 12
The impact of digital technology on sports consumption: evidence from Chinese college students
Zhong, Y.-J., Yang, J.-W., Guo, W.-H., & Wang, Y.-S. (2025) · Frontiers in Psychology · doi:10.3389/fpsyg.2025.1501327 · Cited by 7
U.S. adolescents’ daily social media use and well-being: Exploring the role of addiction-like social media use
Burnell, K., Flannery, J. S., Fox, K. A., Prinstein, M. J., & Telzer, E. H. (2024) · Journal of Children and Media · doi:10.1080/17482798.2024.2402272 · Cited by 6
How Accurately Do Children Indicate Their Smartphone Social Media Use?
Irmer, A., & Schmiedek, F. (2023) · Zeitschrift für Psychologie · doi:10.1027/2151-2604/a000535 · Cited by 6
Social networking smartphone applications and emotional health among college students: The moderating role of social support
Liu, Y., & Yi, H. (2022) · Science Progress · doi:10.1177/00368504221144439 · Cited by 7
Are Your Students Aware of Social Media Wellness? A Necessary Macromarketing Curriculum Extension
Anderson, K. C., Zmich, L. J., Mertz, B. A., & Hass, A. (2023) · Journal of Macromarketing · doi:10.1177/02761467231210590 · Cited by 6
Prospective Association of Digital Media Use with Alcohol Use Initiation and Progression Among Adolescents
Riehm, K. E., Thrul, J., Barrington‐Trimis, J. L., Kelleghan, A. R., Mojtabai, R., & Leventhal, A. M. (2021) · Alcoholism Clinical and Experimental Research · doi:10.1111/acer.14578 · Cited by 9
What (if anything) is going on? Examining longitudinal associations between social media use and mental ill-health among young peoplePreprint
Kelly, Y. J., Xue, B., Booker, C. L., Sacker, A., Lacey, R. E., Ploubidis, G. B., & Patalay, P. (2022) · medRxiv · doi:10.1101/2022.03.31.22273198 · Cited by 6
The Surprise of Underestimation: Analyzing the Effects and Predictors of the Accuracy of Estimated Smartphone Use
Muench, C., Link, J., & Carolus, A. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-05014-5_14 · Cited by 5
Alcohol on social media – Why does it matter, what do we know, and how do we collect better evidence?
Alen, G. D., Riordan, B. C., Anderson‐Luxford, D., & Kuntsche, E. N. (2023) · The Psychology of learning and motivation/The psychology of learning and motivation · doi:10.1016/bs.plm.2023.07.002 · Cited by 6
Algorithm for measurement and analysis of authority and influence of users in social and professional networks
Universidad Autónoma de Baja California, M., Pérez, J. F. R., del Castillo, D. C. L., Universidad de las Ciencias Informáticas, C., & Valdés, M. M. (2021) · PAAKAT Revista de Tecnología y Sociedad · doi:10.32870/pk.a11n21.598 · Cited by 5
Unraveling the dynamics of perceived smartphone overuse and disconnection strategies: Longitudinal insights
Dekker, C. A., Sumter, S., & Baumgartner, S. E. (2024) · New Media & Society · doi:10.1177/14614448241303113 · Cited by 5
Social Media Use and Loneliness
d’Hombres, B., & Gentile, C. (2024) · Population economics · doi:10.1007/978-3-031-66582-0_5 · Cited by 5
We need better measures to understand the influence of social media on substance use
Riordan, B. C., Scarf, D., Strowger, M., Diress, G., Winter, T. J., & Kuntsche, E. N. (2025) · Addiction · doi:10.1111/add.70138 · Cited by 4
Methodological considerations for social media intervention studies
Abeele, M. V., Murphy, S. L., Lemahieu, L., & Koster, E. H. W. (2025) · Nature Reviews Psychology · doi:10.1038/s44159-025-00474-6 · Cited by 10
Measuring TechnoWellness and Its Relationship to Subjective Well-Being: the Mediating Role of Optimism
Candel, O. S. (2021) · Psychology in Russia State of Art · doi:10.11621/pir.2021.0311 · Cited by 4
Digital Disconnection and Portuguese Youth: Motivations, Strategies, and Well-Being Outcomes
Dias, P., Martinho, L. C.-V., & Jorge, A. (2023) · Comunicação e Sociedade · doi:10.17231/comsoc.44(2023).4466 · Cited by 6
Motivations for the use of games in coping and emotional regulation
Cahill, T. J., Cummings, J. J., & Wertz, E. E. (2025) · Frontiers in Communication · doi:10.3389/fcomm.2025.1585586 · Cited by 4
Advancing Objective Mobile Device Use Measurement in Children Ages 6–11 Through Built-In Device Sensors: A Proof-of-Concept Study
Finnegan, O., Weaver, R. G., Yang, H., White, J. W., Nelakuditi, S., Zhong, Z., Ghosal, R., Tong, Y., Cepni, A. B., Adams, E. L., et al. (2024) · Human Behavior and Emerging Technologies · doi:10.1155/2024/5860114 · Cited by 3
Social Media Use and Sleep Outcomes among Adolescents at High Risk for Suicide
Hamilton, J. L., Jorgensen, S. L., Crichlow, Z. R., Biernesser, C. L., Zelazny, J. M., Franzen, P. L., Goldstein, T. R., & Brent, D. A. (2023) · International Journal of Cognitive Therapy · doi:10.1007/s41811-023-00177-x · Cited by 3
Me, My Self-Presentations and I: Within-Person Associations Between Narcissism, Social Media Use and Peer Attachment
Vanhoffelen, G., Schreurs, L., & Vandenbosch, L. (2024) · Media Psychology · doi:10.1080/15213269.2024.2366925 · Cited by 7
Supplemental Material for Objective, Subjective, and Accurate Reporting of Social Media Use: No Evidence That Daily Social Media Use Correlates With Personality Traits, Motivational States, or Well-Being
(2020) · Technology Mind and Behavior · doi:10.1037/tmb0000035.supp · Cited by 3
It’s not what you do, it’s the way that you do it: An experimental task delineates among reactive and interactive styles of behaviour on social networking sitesPreprint
Shaw, D. J., Kaye, L. K., Ngombe, N., Kessler, K., & Pennington, C. R. (2021) · doi:10.31234/osf.io/ztkmv · Cited by 3
It’s Time for Some Me-Time: An Analysis of the Psychological Effects of a Six-Day-Period of Smartphone Separation
Muench, C., & Carolus, A. (2024) · Lecture notes in networks and systems · doi:10.1007/978-3-031-53960-2_43 · Cited by 2
How effective are fact-checks in Pakistan and who engages with them?
Ejaz, W., Altay, S., & Ittefaq, M. (2025) · Information Communication & Society · doi:10.1080/1369118x.2024.2445636 · Cited by 7
A longitudinal study of directly observed social media posting: Association with socioemotional well-being during the transition to high school
Calvin, A. J., Chen, Y. A., & Selkie, E. M. (2025) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2025.100748 · Cited by 3
Active night-time tweeting is associated with meaningfully lower mental wellbeing in a UK birth cohort study
Joinson, D., Haworth, C. M. A., Simpson, E., Cristianini, N., Cara, N. H. D., & Davis, O. S. P. (2025) · Scientific Reports · doi:10.1038/s41598-025-14745-y · Cited by 3
Stress, Mood, and Smartphone Use in University Students: A 12-week Longitudinal StudyPreprint
Bradley, A., & Howard, A. (2021) · doi:10.31219/osf.io/frvpb · Cited by 2
Diversity of News Consumption in a Digital Information Environment
Löecherbach, F. (2023) · doi:10.5463/thesis.165 · Cited by 6
A Two-Study Qualitative Exploration of Ecological Momentary Assessment as a Tool for Media, Health Behavior Measurement
Willoughby, J. F., Gibbons, S., & Hundley, S. L. (2022) · Journalism & Mass Communication Quarterly · doi:10.1177/10776990221112949 · Cited by 1

Authors: Sewall, C. J. R., Bear, T. M., Merranko, J., & Rosen, D.
Affiliations: University of Pittsburgh (US)
University of Pittsburgh Medical Center (US)
Corresponding author: Sewall, Craig J. R.
ORCID: Sewall, Craig J. R.
Bear, Todd M.
Merranko, John
Rosen, Daniel
Venue: Mobile Media & Communication
Publisher: SAGE Publications
Published: 2020-03-31
Volume: 8
Issue: 3
Pages: 379-399
ISSN: 2050-1579 (ISSN-L)
2050-1587
DOI: 10.1177/2050157920902830
OpenAlex: W3014723656
Cited by: 139
References: 51
Citations by year: 2026: 10 · 2025: 16 · 2024: 28 · 2023: 26 · 2022: 25 · 2021: 26 · 2020: 8
FWCI: 28.36
Type: journal article
Language: en
Open access: closed
Licence: journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
Locations: Mobile Media & Communication (publishedVersion)
Funders: Robert and Sally Schwartz Endowed Resource Fund
Topics: Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
Social Sciences › Education › Child Development and Digital Technology
Social Sciences › Communication › Digital Media and Philosophy
Keywords: digital technology use, actual use, psychosocial well-being, depression, loneliness, life satisfaction, social media use, measurement bias

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 ›

Are you an author, or do you see a problem with this page? Request a review

How psychosocial well-being and usage amount predict inaccuracies in retrospective estimates of digital technology use

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks