A Meta-Analysis of the Published Research on the Effects of Pornography
Bibliographic record
Abstract
A meta-analysis of 46 published studies was undertaken to determine the effects of pornography on sexual deviancy, sexual perpetration, attitudes regarding intimate relationships, and attitudes regarding the rape myth. Most of the studies were done in the United States (39; 85%) and ranged in date from 1962 to 1995, with 35% (n=16) published between 1990 and 1995, and 33% (n=15) between 1978 and 1983. A total sample size of 12,323 people comprised the present meta-analysis. Effect sizes (ḏ) were computed on each of the dependent variables for studies which were published in an academic journal, had a total sample size of 12 or greater, and included a contrast or comparison group. Average unweighted and weighted ḏ’s for sexual deviancy (.68 and .65), sexual perpetration (.67 and .46), intimate relationships (.83 and .40), and the rape myth (.74 and .64) provide clear evidence confirming the link between increased risk for negative development when exposed to pornography. These results suggest that the research in this area can move beyond the question of whether pornography has an influence on violence and family functioning. Various potentially moderating variables such as gender, socioeconomic status (SES), number of incidents of exposure, relationship of person who introduced pornography to the participant, degree of explicitness, subject of pornography, pornographic medium, and definition of pornography were assessed for each of the studies. The results are discussed in terms of the quality of the pornography research available and the subsequent limitations inherent in the present meta-analysis.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.026 | 0.071 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.026 | 0.051 |
| Bibliometrics | 0.019 | 0.016 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".