The Possible Risks of Self-Injury Web Sites: A Content Analysis
Bibliographic record
Abstract
The goal of this study was to examine the content of non-suicidal self-injury (NSSI) Web sites, often shared via e-communities. Using a content analysis, 71 Web sites were investigated. Web sites depict NSSI as: an effective coping mechanism (91.55%), addictive and difficult to stop (87.23%), and not always painful (23.94%). Almost all Web sites had melancholic tones (83.10%); several contained graphic photography (29.58%). Most NSSI messages (61.97%) were ambivalent (NSSI-accepting and deterring). Finally, several Web sites (11.27%) provided testimony that NSSI-content is triggering. Findings mirror recent work and NSSI material on these Web sites may normalize and reinforce NSSI. Professionals may need to assess the online activity of individuals who self-injure. Despite its risks, the Internet may serve as a vehicle to reach those who self-injure.
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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 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".