Social Media Use and Monitoring for Adolescents With Depression and Implications for the COVID-19 Pandemic: Qualitative Study of Parent and Child Perspectives
Bibliographic record
Abstract
BACKGROUND: Although youth report many positive experiences with social media (SM) use in their daily lives, adolescents with depression are more vulnerable to the risks of SM use than adolescents without depression. Parents protect adolescents with depression from the risks of SM use by monitoring their child's SM activity; however, this comes into conflict with the adolescent's need for autonomy in their web-based communication. The implications of SM use and monitoring for adolescents with depression and their parents are of particular relevance to the COVID-19 pandemic, as rates of SM use have increased in response to physical distancing measures. OBJECTIVE: This study aims to explore parent and child perspectives regarding the use and function of SM in the daily lives of adolescents with depression and parents' perceptions of and experience with monitoring their child's SM use. METHODS: We conducted qualitative interviews with adolescents with depression (n=23) and one parent of each adolescent (n=23) between July 2013 and September 2014. The adolescents were patients seeking treatment for depression in Pittsburgh, Pennsylvania. Data analysis included dyadic analysis of the adolescents' and parents' perspectives and qualitative descriptions of individual parent interviews to explore their experiences with SM use and monitoring. The construct of parental knowledge and factors hypothesized to contribute to parental knowledge, including adolescent disclosure, parental solicitation, and parental control, were used to guide the codebook and dyadic data analysis. RESULTS: Dyadic analyses showed that parents and their children disagreed on the use and function of SM in the daily lives of adolescents with depression, with adolescents viewing SM as a forum for honest expression of their emotions, whereas parents felt that their children's posts were inconsequential and interfered with the adolescents' lives. Furthermore, parents reported using a wide range of strategies to gain knowledge of their child's SM use to monitor their safety on SM, including direct solicitation and indirect solicitation, such as keeping the child's passwords, asking friends or siblings about their child's SM use, and restricting SM behavior and access to devices. CONCLUSIONS: Clinicians should support adolescents with depression and their parents in finding common ground for an effective and acceptable monitoring approach. Resources are provided for clinicians navigating conversations about SM use and monitoring with adolescents with depression and their parents during the COVID-19 pandemic.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".