Evidence map›Paper›PMID 40564563›Full record

ArticleBehavioral sciences (Basel, Switzerland)2025

Dark Triad Traits, Sex, and Social Desirability as Predictors of Non-Consensual Intimate Media Sharing Proclivity, Enjoyment, and Approval in UK University Students.

Charlotte Kite, Anthony Murphy, Melissa F Colloff

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Charlotte KiteSchool of Psychology, The University of Birmingham, Birmingham B15 2TT, UK.ORCID 0000-0002-5966-4851
Anthony MurphySchool of Psychology, The University of Birmingham, Birmingham B15 2TT, UK.ORCID 0000-0003-0093-6178
Melissa F ColloffSchool of Psychology, The University of Birmingham, Birmingham B15 2TT, UK.ORCID 0000-0001-6401-4872

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-consensual intimate media sharing (NCIMS)-defined as the non-consensual sharing of sexually explicit images or videos-has notably increased in recent years, despite legislative actions to tackle this. This study aimed to investigate whether the Dark Triad traits of narcissism, Machiavellianism, and psychopathy-as well as sex and social desirability-predicted NCIMS proclivity, enjoyment, and approval in UK university students. A total of 653 participants were recruited through Prolific, the University of Birmingham survey circle, and social media. All participants completed various measures to assess self-reported levels of Dark Triad traits, social desirability, and NCIMS proclivity, enjoyment, and approval. The results showed that the models for each multiple linear regression (NCIMS proclivity, enjoyment, and approval) were statistically significant, though only certain variables were independent predictors for each regression. For proclivity, only psychopathy independently added to the prediction. For enjoyment, significant predictors were sex, Machiavellianism, and psychopathy. For approval, only Machiavellianism added statistically to the prediction. This research adds to the growing literature base around NCIMS, specifically within university students in the UK, and provides strong evidence for the development and implementation of interventions designed to address the likelihood of individuals perpetrating NCIMS.

Indexed as

dark triad traitsMachiavellianismnarcissismnon-consensual intimate media sharingpsychopathyrevenge pornography

Identifiers

PMID40564563
PMCPMC12189664

What OpenQuestion holds

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Registered trials

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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.