How maladaptive cognitions contribute to the development of problematic social media use
Bibliographic record
Abstract
The current study investigates the effects of perfectionism discrepancies (PD) and social hopelessness (SH) on problematic social media use as conceptualized by the cognitive-behavioral model. METHODS: A sample of 400 university students (52.3% women; mean age = 22.01 ± 1.99) completed measures assessing PD, SH, and problematic social media use. RESULTS: Structural equation modeling showed that both social hopelessness and feeling discrepant from personal and prescribed standards predicted the preference for online social interactions (POSI). POSI predicted the motivation to use online social media as a means of alleviating distressing feelings, the inability to regulate social media use and the negative outcomes resulting from use of SNS. CONCLUSIONS: In line with the cognitive-behavioral model of problematic Internet use, the present study suggests the primary importance of maladaptive cognitions about the self (i.e. perfectionism discrepancies) and the world (i.e. social hopelessness) for the development of a preference for online social interactions. In particular, the present study shows that individuals are likely to opt for online social interactions as a function of their pessimistic social expectancies and the sense of inadequacy that comes from perceptions of falling short of expectations.
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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 | 0.001 |
| 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".