Personality, Attitudinal, and Demographic Predictors of Non-consensual Dissemination of Intimate Images
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Non-consensual intimate image dissemination (NCII), or else better known as "revenge pornography" is a form of technology-facilitated sexual violence that can have devastating effects on the victim. This is one of the first studies examining how demographic characteristics (gender, sexual orientation), personality traits (Dark Tetrad), and attitudes (aggrieved entitlement, sexual entitlement, sexual image abuse myth acceptance) predict NCII perpetration and victimization. In a sample of 810 undergraduate students (72.7% female and 23.3% male), 13.7% of the participants had at some point in their life, distributed nude, or sexual pictures of someone else without consent and 28.5% had experienced such victimization. NCII perpetration was predictive of NCII victimization and vice versa. Using binomial logistic regression, we found that women, members of the LGBQ+ community, those scoring higher in sadism, and participants with a history of NCII perpetration were more likely to report that someone had distributed their nude or sexual image without consent. Further, we found that those scoring higher in narcissism and sadism, along with those with a history of NCII victimization were more likely to report they had distributed the nude or sexual image of someone else without consent. Finally, the findings suggest that the relationship between victims and perpetrators is quite a bit more varied than the term "revenge pornography" implies.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it