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Related Experiment Video

Updated: Jan 6, 2026

Author Spotlight: Development of an Automated Camera-Based System for Real-Time Blast Overpressure Monitoring and TBI Risk Assessment in Military Training
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Deepfake Technology and Gender-Based Violence: A Scoping Review.

Lisa Lazard1, Rose Capdevila1, Emma L Turley2

  • 1The Open University, Milton Keynes, UK.

Trauma, Violence & Abuse
|November 22, 2025
PubMed
Summary

Deepfakes are increasingly used in online violence against women (OVAW), a form of gender-based violence. Research must analyze the intersectional power dynamics of deepfake technology and its impact on silencing women online.

Keywords:
deepfakeimage-based sexual abuseonline gender-based violenceonline perpetrationscoping reviewtechnology-facilitated sexual abuse

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Area of Science:

  • Psychology
  • Social Sciences

Background:

  • Online violence against women (OVAW) is a growing global concern.
  • Deepfakes represent a significant manifestation of gender-based violence, attracting increased academic attention.
  • Existing research on deepfakes in gender-based violence requires further exploration of complex issues.

Purpose of the Study:

  • To explore emerging complexities in academic understandings of deepfake technology's use in gender-based violence.
  • To examine the impact of these issues on current knowledge regarding deepfakes and OVAW.
  • To identify research gaps and guide future investigations into deepfakes and online sexual violence.

Main Methods:

  • A scoping review was conducted following PRISMA-ScR guidelines.
  • Searched six databases using 12 keywords, yielding 3148 articles.
  • Filtered to 64 articles focusing on psychology and social sciences for in-depth analysis.

Main Results:

  • Deepfakes are utilized to silence women in online public spaces.
  • There is a need to acknowledge inherent gendered systemic discriminations within deepfake technology and its applications.
  • Current research often focuses on detection and credibility, overshadowing critical power dynamic analyses.

Conclusions:

  • Future research should shift from deepfake detection to analyzing intersectional power dynamics in gender-based violence.
  • Understanding how deepfakes silence women online is crucial.
  • Addressing the gendered systemic discriminations embedded in deepfake technology is essential for combating OVAW.