Social media and youth mental health: Simple narratives produce biased interpretations.

Many academics and pundits contend that social media use is the primary cause of an international youth mental health crisis. However, these claims often rely on correlational evidence, ignoring the confounding effects of developmental, environmental, social, and psychological factors that influence mental health. This oversimplifies the complex etiology of mental health problems.

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' ( = 8,094) desires to spend more or less time online.

Does Objectively Measured Social-Media or Smartphone Use Predict Depression, Anxiety, or Social Isolation Among Young Adults?

Despite a plethora of research, the link between digital technology use and psychological distress among young adults remains inconclusive. Findings in this area are typically undermined by methodological limitations related to measurement, study design, and statistical analysis. Addressing these limitations, we examined the prospective, within-person associations between three aspects of objectively-measured digital technology use (smartphone use duration and frequency; social media use duration) and three aspects of psychological distress (depression, anxiety, and social isolation) among a sample of young adults ( = 384).

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.

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.