Do They Stop? How Do They Stop? Why Do They Stop? Whether, How, and Why Teens Insert “Frictions” Into Social Media’s Infinite Scroll
Bibliographic record
Abstract
Teenagers’ social media use is often cast as problematic and addictive, and moral panics are a persistent theme. The scholarly literature reveals a gap in studying whether teens actively resist social media design by applying “frictions” (e.g., screen locks and reminders). The concept of “frictions” is situated in conversation with the “frictionless” design of social media apps, which eliminate stopping cues. Using developmental theory to understand and compare age differences in teen social media practices, this study investigates whether, how, and why teenagers pause or stop social media use. Based on in-depth interviews with 20, 13–16 year olds, from the United States and Canada, this study finds that when teens acknowledge and grapple with feelings of discomfort with social media experiences, some introduce frictions. As policymakers struggle to play catch-up with technology regulation, this study highlights how teenagers are thinking about social media effects, and designing their own exit paths.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".