RISULTATI RICERCA

The article examines algorithmic discrimination as a structural dimension of technology-facilitated violence against women (TFVAW). Through a scoping review conducted in Scopus and Web of Science following the PRISMA protocol, it investigates how literature defines and interprets gender and ethnic bias in algorithmic systems. The analysis of 124 studies shows that, although these biases are recognized as forms of systemic inequality, they are rarely conceptualized as technology-mediated gender violence. Hence, the article proposes interpreting them as computational symbolic violence – a form of violence that intertwines technical rationality and social inequalities, producing exclusion, silencing, and systemic marginalization – and thus as an integral component of TFVAW.

The article examines the use of non-consensual deepfake pornography on the anonymous platform 4chan, framing it as a form of gendered technological violence. The authors argue that such content is not the result of isolated incidents, but part of a structured and normalized discourse sustained by algorithmic and cultural misogyny. Through a combination of computational analysis and critical discourse analysis, the study shows how requests and practices of “synthetic nudification” become performative, commercial, and ritualized acts. The authors also stress the need for interdisciplinary responses that address the cultural and technological context in which these practices emerge.

The femicide of Giulia Cecchettin, which occurred on November 11, 2023, generated a strong media response and a subsequent wave of digital violence, fuelled by misogynistic content, distorted use of AI, and dynamics of secondary victimization. In this paper, the author analyzes these phenomena, their connection to pop culture, and proposes a model of critical digital literacy to counter the normalization of violence in contemporary media environments.