The Role of Need Satisfaction and Frustration in Moderating the Relationship Between Social Media Use and Stress Among University Students
Bibliographic record
Abstract
Research on social media has rarely considered subjective need experiences and how they are related to stress. I hypothesized that need frustration during social media use would amplify the relationship between time spent on social media and stress, whereas need satisfaction during social media use would diminish the relationship. Students (N = 151; Mage = 19.36, SD = 3.77 years, female = 71.5%) completed two self-report surveys one-week apart. Hayes’ (2021) PROCESS macro was used to test moderation. Bivariate correlations revealed that need frustration during social media use was negatively related to stress (rTime1 = .36, rTime2 = .24) and time spent on social media (rTime1 = .30). Need satisfaction was negatively related to stress (rTime1 = -.33, rTime2 = -.24). No significant moderation results were found for need satisfaction (p = .21) and frustration (p = .08). Further research is needed to clarify potential methodological issues that may have contributed to null results.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| 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".