Victimization by Property Cybercrimes in Brazil Based on Police Reports and Text Mining Analysis

This study analyzes victimization by cybercrimes against property in Minas Gerais, Brazil, based on 59,707 police reports filed between 2020 and 2022. Using text mining and Natural Language Processing (NLP) techniques, it identifies patterns of occurrence, sociodemographic profiles of victims, types of scams, and means used by offenders. The study uses classical criminological theories, such as Rational Choice and Routine Activities Theory, as well as victimological typologies, to interpret the findings. The results indicate the predominance of fraud scams, with intensive use of applications such as WhatsApp, and greater victimization among young and middle-aged adults. The research contributes to advancing cyber victimology in Brazil, offering support for more effective public policies and prevention strategies.