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Sexual Deepfakes and Image-Based Sexual Abuse: Victim-Survivor Experiences and Embodied Harms

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2023-04-20

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Rousay, Victoria. 2023. Sexual Deepfakes and Image-Based Sexual Abuse: Victim-Survivor Experiences and Embodied Harms. Master's thesis, Harvard University Division of Continuing Education.

Abstract

The democratization of deepfake technology over the last six years has resulted in an unprecedented emergence and growth of a new type of image-based sexual abuse: sexual deepfakes. Sexual deepfakes are a pernicious form of sexual violence that profoundly impacts the physical, emotional, and social aspects of victims’ lives. While academic research has addressed the lived experiences of victim-survivors of other forms of image-based sexual abuse, because of their relative recency, sexual deepfakes are an under-researched phenomenon, leaving victims with little recourse or recognition of their experience as a legitimate form of sexual violence. The purpose of this phenomenological study is to explore the lived experiences of victim-survivors of image-based sexual abuse, with a specific focus on exploring the lived experiences of victim-survivors of sexual deepfakes. I chose to incorporate a purposeful mixed sampling, combining three different sampling techniques that were most consistent with the study’s research purpose: voluntary homogeneous sampling, criterion sampling, and confirming case sampling. Each sampling technique corresponded with one of the study’s three phases, screening survey, semi-structured interviews, and amplifying emerging themes through confirmed cases of lived experience experts (LEE). LEE cases were selected to amplify the voices of the victim-survivors interviewed in the current study, four of five of whom revealed participation in semi-structured interviews to be the first time they had spoken out about their experience. Recruitment occurred from August 2022 until November 2022, in which a total of 58 individuals were invited to participate in semi-structured interviews; 63% (37) of participants reported experiences of sexual deepfake abuse, all of whom reported that their sexual deepfakes had been monetized online. One-on-one (N=5) semi-structured interviews with victim-survivors of image-based sexual abuse, including experiences of sexual deepfake abuse, were conducted between October 2022 and November 2022. Semi-structured interviews were analyzed using interpretative phenomenological analysis (IPA), in which preliminary coding of emerging themes provided a foundation for selecting a total of seven public cases from sexual deepfake lived experience experts (LEE). Findings from this study suggest that sexual deepfake abuse is a severely gendered phenomenon in which heteronormativity has become the template for enacting sexual violence – irrespective of the victim’s sex, gender identity, or sexual orientation. Additionally, this study found sexual deepfake abuse to be particularly harmful because of the fluidity and co-occurrence of online-offline experiences of abuse, resulting in endless reverberations of abuse in which every aspect of the victim’s life is permanently disrupted.

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AI, deepfakes, embodied harms, image-based sexual abuse, pornography, sexual violence, Cultural anthropology, Web studies

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