Skip to main content

ORIGINAL RESEARCH article

Front. Psychol.
Sec. Personality and Social Psychology
Volume 15 - 2024 | doi: 10.3389/fpsyg.2024.1471438

The Influence of Dark Personality and Pornography on Sexual Aggression Beliefs

Provisionally accepted
  • Miguel Hernández University of Elche, Elche, Valencian Community, Spain

The final, formatted version of the article will be published soon.

    Introduction: Violence against women, particularly sexual violence, poses a significant public health concern. Predispositions toward perpetrating such acts often stem from the acceptance of myths that justify or deny these behaviors. This study aimed to explore how dark personality traits (narcissism, Machiavellianism, psychopathy, and sadism) and pornography consumption relate to the acceptance of these myths. Method: Surveying 598 participants, the research employed Latent Profile Analyses (LPA) to identify distinct population profiles, Additionally, regression analyses were employed to further explore the relationships among variables. Results: Three profiles emerged, showcasing varying degrees of acceptance of sexual aggression myths. The most concerning profile, encompassing 9.2% of participants, displayed the highest alignment with these myths, alongside elevated scores in dark personality traits and pornography consumption. Notwithstanding the three profiles showed significant differences in the acceptance of these myths. Interestingly, the regression analysis highlighted that Machiavellianism stood out as the primary predictor for accepting sexual aggression myths, overshadowing the influence of pornography consumption. Discussion:This emphasizes the role of personality traits in influencing attitudes towards sexual aggression myths. Moreover, implications for tailored prevention strategies, focusing on high-risk profiles, are discussed, highlighting the potential for targeted interventions to address harmful beliefs and behaviors.

    Keywords: Dark Tetrad, Pornography, sexual violence, violence against women, latent profile analysis

    Received: 27 Jul 2024; Accepted: 09 Oct 2024.

    Copyright: © 2024 Galán, Pineda, Rico-Bordera, Martínez-Martínez and Piqueras. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: David Pineda, Miguel Hernández University of Elche, Elche, 03202, Valencian Community, Spain

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.