Evidence map›Paper›PMID 34507500›Full record

ArticleJournal of interpersonal violence2022

Personality, Attitudinal, and Demographic Predictors of Non-consensual Dissemination of Intimate Images.

V Karasavva, A Forth

Open access · bronzeAbstract read
In one paragraph

Article in Journal of interpersonal violence, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
5.5field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 58 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

V KarasavvaCarleton University, Ottawa, ON, Canada.ORCID 0000-0003-0778-8454
A ForthCarleton University, Ottawa, ON, Canada.
Carleton University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Crime VictimsIntimate Partner ViolenceSex OffensesDemographyFemaleGender IdentityHumansMaleSexual BehaviorSexual Partnerscybercrimedark tetradimage-based sexual abusenon-consensual sexual image disseminationrevenge pornographytechnology-facilitated sexual violence

Identifiers

PMID34507500
PMCPMC9554400
OpenAlexW3198130698

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.