Image-based sexual abuse (IBSA)— also known as sextortion, upskirting, revenge porn, deepfakes, digital sex trafficking, or cyberflashing—is a technology-enabled form of gender-based violence that can result in very real impact, ranging from mental illness to suicide, from job loss to social isolation, physical assault to body dysmorphia, threats against friends and family, and many other harms.

This global landscape report explores the issue of image-based sexual abuse, the harms it causes survivors, and what we can—and must—do together to stop it. (From the website). See also a 7-page brief (#8278). Record #8152

The digital revolution and the uptake of online information and communications technologies have both positive and negative gendered impacts. On the one hand, online spaces and digital tools can facilitate access to essential information and services, unleashing educational and employment opportunities for women and girls. But on the other hand, for those who are online and do have access, a growing body of evidence sheds light on the ways in which the digital revolution has exacerbated existing, and even created new, forms of gendered inequalities and oppression, including technology-facilitated violence against women.

Despite a growing evidence base and accelerated efforts to develop fit-for-purpose quantitative and qualitative research and data collection methods, significant gaps remain in our understanding of the scale and particular manifestations of technology-facilitated violence against women, including how women who face intersecting forms of discrimination experience or resist it.

Based on a scoping study, this paper offers a landscape scan highlighting what is known about technology-facilitated violence against women, who is currently generating this knowledge, and how the evidence is being produced. The paper also highlights some of the related methodological, ethical, and sociopolitical challenges to collecting data on technology-facilitated violence against women. As a way forward, actions for strengthening knowledge generation and data collection are proposed, including recommendations on methods and further research. (From the website). Record #8152