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Victimization by specific cybercrimes: examining determinants, protective measures, and online-offline polyvictimization among Swedish adults
School of Informatics, University of Skövde, Skövde, Sweden.
School of Informatics, University of Skövde, Skövde, Sweden.
Umeå University, Faculty of Social Sciences, Department of Social Work.ORCID iD: 0000-0001-8296-5313
2025 (English)In: European Journal on Criminal Policy and Research, ISSN 0928-1371, E-ISSN 1572-9869Article in journal (Refereed) Epub ahead of print
Abstract [en]

Cybercrime has become an increasingly pervasive issue in the digital age, impacting individuals across diverse demographics. This study examines cybercrime victimization among Swedish adults, focusing on 10 distinct types, namely, phishing, fraud, identity theft, malware infections, hacking, general harassment, sexual harassment, privacy violations, defamation, and threats of violence. Utilizing a nationally representative sample of 480 individuals, the research investigates the prevalence of cybercrime and how factors such as sociodemographic characteristics, technological proficiency, and past offline victimization affect cyber victimization risk. Findings reveal significant trends in cyber-polyvictimization and underscore the importance of protective measures in mitigating specific cybercrime risks. This study enhances our understanding of cybercrime dynamics within Sweden’s adult population and suggests future research avenues, particularly in refining theoretical models and exploring the interplay between risk factors, protective measures and various cybercrime victimization types.

Place, publisher, year, edition, pages
Springer, 2025.
Keywords [en]
Cyber-polyvictimization, Cybercrime, Online–offline polyvictimization, Protective measures, Sociodemographic determinants, Victimization
National Category
Epidemiology Public Health, Global Health and Social Medicine
Identifiers
URN: urn:nbn:se:umu:diva-246983DOI: 10.1007/s10610-025-09653-wISI: 001620343000001Scopus ID: 2-s2.0-105022711371OAI: oai:DiVA.org:umu-246983DiVA, id: diva2:2019145
Funder
Swedish Research Council, 2022–05472Available from: 2025-12-05 Created: 2025-12-05 Last updated: 2025-12-05

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Padyab, Mojgan

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