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Cybercrime Victimisation and Polyvictimisation in Finland—Prevalence and Risk Factors
European Journal on Criminal Policy and Research ( IF 1.6 ) Pub Date : 2021-09-06 , DOI: 10.1007/s10610-021-09497-0
Matti Näsi 1 , Petri Danielsson 1 , Markus Kaakinen 1
Affiliation  

This study examines the prevalence of different types of cybercrime victimisation and their shared risk factors among the population of Finland. We examine how respondents’ socio-economic background variables, past offline victimisation experiences, online activity, user skills, and protective measures impact the risk of the most common forms of online victimisation and online polyvictimisation. Our nationally representative survey data were collected from 5455 Finns aged 15 to 74 years (response rate 39%) as part of the Finnish National Crime Survey in 2018. According to our findings, the five most common forms of victimisation were malware, harassment, sexual harassment, hacking, and fraud. Online routines and exposure to potential offenders, along with past offline victimisation experiences, served as notable risk factors for a range of different victimisation experiences online. Our findings show slightly different SES risk factors for victimisation of different online offences, thereby indicating the diverse nature of different types of online victimisation. Our findings also show that young age, better financial situation, high internet use, and user skills, along with past offline victimisation of property crime and violence, associate with increased risk of online polyvictimisation. High user protection decreased the risk of online polyvictimisation.



中文翻译:

芬兰的网络犯罪受害和多重受害——流行和风险因素

本研究调查了芬兰人口中不同类型的网络犯罪受害情况及其共同的风险因素。我们研究了受访者的社会经济背景变量、过去的线下受害经历、在线活动、用户技能和保护措施如何影响最常见的在线受害形式和在线多重受害形式的风险。作为 2018 年芬兰全国犯罪调查的一部分,我们从 5455 名 15 至 74 岁的芬兰人中收集了具有全国代表性的调查数据。根据我们的调查结果,五种最常见的受害形式是恶意软件、骚扰、性骚扰、黑客攻击和欺诈。在线惯例和接触潜在犯罪者,以及过去的线下受害经历,作为一系列不同的在线受害经历的显着风险因素。我们的研究结果显示,不同网络犯罪受害的 SES 风险因素略有不同,从而表明不同类型的网络受害具有不同的性质。我们的研究结果还表明,年轻、较好的财务状况、较高的互联网使用率和用户技能,以及过去线下财产犯罪和暴力的受害情况,都与在线多重受害的风险增加有关。高度的用户保护降低了在线多重受害的风险。更好的财务状况、较高的互联网使用率和用户技能,以及过去线下财产犯罪和暴力的受害情况,都与在线多重受害的风险增加有关。高度的用户保护降低了在线多重受害的风险。更好的财务状况、较高的互联网使用率和用户技能,以及过去线下财产犯罪和暴力的受害情况,都与在线多重受害的风险增加有关。高度的用户保护降低了在线多重受害的风险。

更新日期:2021-09-06
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