Social Media Use and Internalizing Symptoms in Clinical and Community Adolescent Samples: A Systematic Review and Meta-Analysis.

Importance: In response to widespread concerns about social media's influence on adolescent mental health, most research has studied adolescents from the general population, overlooking clinical groups. Objective: To synthesize, quantify, and compare evidence on the association between social media use and internalizing symptoms in adolescent clinical and community samples. Data Sources: Peer-reviewed publications from MEDLINE, Web of Science, PsycInfo, and Scopus (initially reviewed in May 2022 and updated in October 2023) and preprints from Europe PubMed Central (February 2023) published in English between 2007 and 2023. Study Selection: Two blinded reviewers initially identified 14 211 cross-sectional and longitudinal studies quantifying the association between social media use and internalizing symptoms, excluding experimental studies and randomized clinical trials. Data Extraction and Synthesis: PRISMA and MOOSE guidelines were followed, pooling data using a random-effects model and robust variance estimation. The quality of evidence was assessed using the Quality of Survey Studies in Psychology Checklist. Main Outcomes and Measures: Articles were included if they reported at least 1 quantitative measure of social media use (time spent, active vs passive use, activity, content, user perception, and other) and internalizing symptoms (anxiety, depression, or both). Results: The 143 studies reviewed included 1 094 890 adolescents and 886 effect sizes, 11% of which examined clinical samples. In these samples, a positive and significant meta-correlation was found between social media use and internalizing symptoms, both for time spent (n = 2893; r, 0.08; 95% CI, 0.01 to 0.15; P = .03; I2, 57.83) and user engagement (n = 859; r, 0.12; 95% CI, 0.09 to 0.15; P = .002; I2, 82.67). These associations mirrored those in community samples. Conclusions and Relevance: The findings in this study highlight a lack of research on clinical populations, a critical gap considering public concerns about the increase in adolescent mental health symptoms at clinical levels. This paucity of evidence not only restricts the generalizability of existing research but also hinders our ability to evaluate and compare the link between social media use and mental health in clinical vs nonclinical populations.

Using Browser Data to Understand Desires to Spend Time Online.

There is growing recognition that many people feel the need to regulate their use of the internet and other digital technologies to support their wellbeing. In this study, we used Mozilla Firefox browser telemetry to investigate the role played by various usage factors in desires to regulate time spent online. In particular, we investigated how six metrics pertaining to time spent on the internet, and the diversity and intensity of use, predict participants' (n = 8,094) desires to spend more or less time online. Across all six metrics, we did not find evidence for a relationship between browser usage metrics and participants wanting to spend more or less time online. This finding was robust across various analytical pathways. The study highlights a number of considerations and concerns that need to be addressed in future industry-academia collaborations that draw on trace data or usage telemetry.

Social media and well-being: A methodological perspective.

Due to the methodological challenges inherent in studying social media use (SMU), as well as the methodological choices that have shaped research into the effects of SMU on well-being, clear conclusions regarding relationships between SMU and well-being remain elusive. We provide a review of five methodological developments poised to provide increased understanding in this domain: (a) increased use of longitudinal and experimental designs; (b) the adoption of behavioural (rather than self-report) measures of SMU; (c) focusing on more nuanced aspects of SMU; (d) embracing effect heterogeneity; and (e) the use of formal modelling and machine learning. We focus on how these advances stand to bring us closer to understanding relations between SMU and well-being, as well as the challenges associated with these developments.

An exploratory investigation of the use and effects of academic instant messaging groups among university students.

The use of instant messaging groups for various academic purposes is a rising, but largely understudied, trend in higher education institutions. In the present study we investigate the use purposes and outcomes of three types of academic instant messaging groups or AIMGs. Formal AIMGs are created and managed by teaching staff, class AIMGs are created by students and joined by all members of a particular class, and study AIMGs are smaller groups created by students that know each other personally or collaborate in group assignments. To advance understanding of the role of these groups in students' wellbeing and academic development, we pose research questions concerning their associations with academic performance, academic stress, and students' course experiences. We adopt an exploratory frame and survey methodology to collect data from a large sample of undergraduate students (n = 1752). Our findings indicate that, at the institution where data were collected, high rates of AIMG participation is the norm, with class AIMGs emerging as particularly popular. We find statistically significant interaction between formal and study AIMGs and academic performance, as well as between study AIMGs and academic stress. Participation in these groups also predicts students' social experience of a learning community, as well as their perception of the teaching they receive. Throughout, however, the observed effects are small and their practical significance is questioned.

A systematic review and meta-analysis of discrepancies between logged and self-reported digital media use.

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.

Off-task media use in academic settings: cycles of self-regulation failure.

Objective: The effects of off-task media use in academic settings on academic performance have been widely reported. In response, a range of interventions have been proposed. Among these have been calls for the cultivation of more effective self-regulation of media use. Against this backdrop, the present study investigates students' self-regulation of off-task media in academic settings. Method: A series of focus groups was conducted involving 30 undergraduate students at a large, South African university. A combination of inductive and deductive analysis was conducted on the basis of prominent theories of self-regulation. Results: The presences of off-task media in academic settings create ongoing experiences of goal-conflict and many students become trapped in cycles of repeated self-regulation failure, ultimately culminating in procrastination. Conclusions: We refer to this phenomenon as the media procrastination cycle and argue that it contributes to negative affect, stress, and anxiety among students.