City Research Online

Pirates with psychopathic personalities? The role of sub-clinical and normative traits in illegal streaming and downloading of media

Satchell, L.P., Corr, P. J. ORCID: 0000-0002-7618-0058 & Latzman, R. D. (2022). Pirates with psychopathic personalities? The role of sub-clinical and normative traits in illegal streaming and downloading of media. Journal of Research in Personality, 96, article number 104158. doi: 10.1016/j.jrp.2021.104158

Abstract

There is limited research on the individual differences that may contribute to engaging with digital media piracy. Previous research has primarily focused on music piracy, but more work is needed on contemporary issues in film and television piracy. Here we present two registered report studies exploring of the role of psychopathic, and in a second sample Five-Factor and Reinforcement Sensitivity Theory, trait dimensions in engagement with digital media piracy and normative deviance in an international (N = 351) and a US sample (N = 321). Overall, we find that traits associated with low self-control (Disinhibition, Conscientiousness) were important for explaining engagement with media piracy and identify themes in reasons for engaging with piracy or not that in Content Analysis.

Publication Type: Article
Additional Information: © 2022. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/
Publisher Keywords: Media piracy, Microcrime, Psychopathy, Psychopathic traits, Five factor model, Reinforcement sensitivity theory
Subjects: B Philosophy. Psychology. Religion > BF Psychology
H Social Sciences > HN Social history and conditions. Social problems. Social reform
H Social Sciences > HV Social pathology. Social and public welfare
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments: School of Health & Psychological Sciences > Psychology
SWORD Depositor:
[thumbnail of Pirates and Personality_Final.pdf]
Preview
Text - Accepted Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (309kB) | Preview

Export

Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

Downloads

Downloads per month over past year

View more statistics

Actions (login required)

Admin Login Admin Login