Celebrity status, sex, and variation in psychopathy predicts judgements of and proclivity to generate and distribute deepfake pornography

Journal article


Fido, Dean, Rao, Jaya and Harper, Craig, A 2021. Celebrity status, sex, and variation in psychopathy predicts judgements of and proclivity to generate and distribute deepfake pornography. Computers and Human Behavior. https://doi.org/10.1016/j.chb.2021.107141
AuthorsFido, Dean, Rao, Jaya and Harper, Craig, A
Abstract

With the advent of means to generate and disseminate fake, sexualised images of others for the purposes of financial gain, harassment, or sexual gratification, there is a need to assess and understand the public's awareness and judgements of said behaviour. In two independently-sampled studies, we used moderation (Study 1; n = 290, 42% female) and linear mixed effects (Study 2; n = 364, 51% female) analyses to investigate whether judgements of deepfaking (measured across 12 self-report items) differed as a function of victim status (celebrity, non-celebrity), victim and participant demographics, and image use (sharing, own sexual gratification), whilst controlling for the potential covariates of psychopathy and beliefs about a just world. We consistently observed more lenient judgements of deepfake generation and dissemination for victims who were celebrities and male, and when images were created for self-sexual gratification rather than being shared. Moreover, lenient judgements, as well as proclivity to act were predicted by greater levels of psychopathy. We discuss our findings in the context of future research needing to better understand the general public's rationale for said disparity in judgements, as well as identifying and combating barriers to disclose victimisation. Open data and a preprint of this paper are available at https://osf.io/fp85q/?view_only = 8006547d6a524f4fbb9dd55005c73319.

KeywordsDeepfake media production; Non-consensual image-based offending; Judgements; Psychopathy
Year2021
JournalComputers and Human Behavior
PublisherElsevier
ISSN0747-5632
Digital Object Identifier (DOI)https://doi.org/10.1016/j.chb.2021.107141
https://doi.org/10.31234/osf.io/yq8f5
Web address (URL)http://hdl.handle.net/10545/626243
hdl:10545/626243
Publication dates21 Dec 2021
Publication process dates
Deposited25 Jan 2022, 11:14
Accepted08 Dec 2021
ContributorsUniversity of Derby and Nottingham Trent University
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