Engagement, Attitudes, and Perceptions of Social Media Use: Associations with Adolescents’ Mental Well-Being
Bibliographic record
Abstract
This study seeks to explore the relationship between mental well-being and engagement, attitudes, and perceptions of social media use across adolescents. This study is based on a survey of adolescents ( n = 3,568, mean age = 17.3) conducted in 2020 and 2021. Mental well-being was assessed using the Warwick–Edinburgh Mental Well-being Scale (WEMWBS) and categorized into low, mid-range and high mental well-being. Social media activity was measured using 11 statements related to engagement, attitudes, and perceptions of social media use. Bayesian cumulative ordinal regression models were employed to estimate the association between each of these statements and mental well-being. Adolescents with high mental well-being were more likely to report increased engagement in social media activities related to social orientation and group chatting than those with mid-range well-being. The results suggest that engaging in social behavior on social media may be indicative of healthy online activities.
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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 | 0.001 | 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 | 0.002 | 0.001 |
| 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".