Work

Challenges in Extracting Forensic Data on Sexual and Gender-Based Violence Victims

Year: 2025

Type: article

Abstract: Sexual violence is one of the most long-standing forms of gender-based violence. It constitutes a violation of human, sexual, and reproductive rights and should be recognized as a public health issue. A key challenge and necessity for public safety is identifying the profiles of victims of sexual and gender-based violence to implement effective measures to combat this type of violence. While Artificial Intelligence has the potential to aid in automated identification, its effectiveness is hindered by a lack of structured data on the subject. Thus, this study aims to present a method for extracting and analyzing textual information found in reports of sexual and gender-based violence concerning victims examined by forensic institutions.

Source: Journal of the Association for Information Systems

Authors: Francisco, Rafaela S., Barcelar, Ricardo Rodrigues, Ventura, Thiago, Gomes, Raphael S R

Institution: Universidade Federal de Mato Grosso

Language: English

Topic: Sexual Assault and Victimization Studies

Subfield: Gender Studies

Field: Social Sciences

Domain: Social Sciences

SDGs: Gender equality, Peace, justice, and strong institutions

Open Access status: green

Funder: Universidade Federal de Mato Grosso do Sul

OpenAlex ID: W6989810396