Systematic review and meta-analyses of suicidal outcomes following fictional portrayals of suicide and suicide attempt in entertainment media
Bibliographic record
Abstract
Background: Guidelines to encourage responsible reporting of suicide in news media are a key component of suicide prevention strategies. Recent guidelines have been developed on portrayal of suicide in entertainment media although the relationship between these portrayals and subsequent suicidal behaviour has received considerably less attention in research. Methods: We conducted a systematic review and meta-analysis to examine the association between portrayals of suicide and suicide attempt in entertainment media and suicidal behaviour in the population. We searched PubMed, Scopus, Embase, PsycInfo, Web of Science and Google Scholar until April 20, 2021. We included studies adopting interrupted time series or single/multiple arm pre-post designs. Separate analyses were undertaken for studies of suicide and suicide attempts. We synthesized studies at moderate risk of bias and included studies at serious risk in a sensitivity analysis. Using a random-effects meta-analysis, we synthesized studies at moderate risk of bias and included studies at serious risk in a sensitivity analysis. Study registration: PROSPERO (CRD42020221333). Findings: Twelve studies met our inclusion criteria. Six studies were about suicide. Two of these were at moderate risk of bias and both examined the effects of the Netflix series 13 Reasons Why. The pooled rate ratio (RR) for these studies was 118 (95% CI 109 to 127, p<0001). Heterogeneity was low (I 2 = 29%). Six studies focused on suicide attempts, and two of them were at moderate risk of bias. The pooled RR for these two studies was 133 (95% CI 084 to 209, p = 022). Heterogeneity was high (I 2 = 92%). Enhanced funnel plots indicated likely publication bias for studies of suicide and possible bias for studies of attempted suicide. Interpretation: Portrayals of suicide in entertainment media may increase suicides and attempted suicide in the population. More studies that limit the potential sources of bias are needed to fully understand the circumstances under which fictional portrayals may influence suicidal behaviour.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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".