The Cybercrime Victim-Offender Overlap: Evaluating Predictors for Victims, Offenders, Victim-Offenders, and Those Who are Neither

Few studies have examined the victim-offender overlap in cybercrimes, especially using mutually exclusive groups: victims-only, offenders-only, victim-offenders, and those who are neither. The current study uses a sample of adults (N = 837) to evaluate the predictors of cybercrime victimization and...

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Autor principal: Burden, Makayla (Autor)
Tipo de documento: Electrónico Artículo
Lenguaje:Inglés
Publicado: 2025
En: Victims & offenders
Año: 2025, Volumen: 20, Número: 4, Páginas: 710-728
Acceso en línea: Volltext (lizenzpflichtig)
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Sumario:Few studies have examined the victim-offender overlap in cybercrimes, especially using mutually exclusive groups: victims-only, offenders-only, victim-offenders, and those who are neither. The current study uses a sample of adults (N = 837) to evaluate the predictors of cybercrime victimization and offending generally, as well as the group-specific differences and similarities. Cybercrime victimization significantly predicted offending and offending predicted victimization. Level of self-control, time spent participating in routine online activities, and demographic characteristics were significant predictors for both victimization and offending. Results showed that 40.5% of participants were victims-only, 20% offenders-only, and 16.6% were victim-offenders. Multinomial regression suggests there are significant differences and similarities between these groups.
ISSN:1556-4991
DOI:10.1080/15564886.2022.2159598