A Test of Structural Model for Fear of Crime in Social Networking Sites

Seong-sik Lee, Kyung-shick Choi, Sinyong Choi, E. Englander
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引用次数: 11

Abstract

This study constructed a structural model which consists of social demographic factors, experience of victimization, opportunity factors, and social context factors to explain the public’s fear of crime on social networking sites (SNS). The model is based on the risk interpretation model, which predicts that these factors influence users’ fear of crime victimization. Using data from 486 university students in South Korea, an empirically-tested model suggests that sex and age have direct and significant effects on fear of victimization, supporting the vulnerability hypothesis. Among opportunity factors, the level of personal information and the number of offending peers have significant effects on fear of victimization through the medium of the perceived victimization risk, although the effect of SNS usage time is not significant. In addition, it was revealed that experience of victimization has a direct effect on fear of victimization. Furthermore, findings indicate that bridging social network has a direct and indirect positive effect on fear of victimization, and collective efficacy has an indirect effect on fear of victimization. Results show that incidents in SNS have the strongest effect on fear of victimization among various factors in this model without being mediated by the perceived victimization risk. Overall, this study supports a structural model for the fear of victimization.
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社交网站犯罪恐惧的结构模型检验
本研究构建了一个包含社会人口因素、受害经历因素、机会因素和社会情境因素的结构模型来解释公众在社交网站上的犯罪恐惧。该模型基于风险解释模型,该模型预测这些因素会影响用户对犯罪受害的恐惧。利用来自韩国486名大学生的数据,一个经过实证检验的模型表明,性别和年龄对受害恐惧有直接而显著的影响,支持了脆弱性假说。在机会因素中,个人信息水平和犯罪同伴数量通过感知受害风险对受害恐惧有显著影响,而SNS使用时间的影响不显著。此外,研究还揭示了受害经历对受害恐惧有直接影响。此外,桥接性社会网络对受害恐惧有直接和间接的正向影响,集体效能对受害恐惧有间接的正向影响。结果表明,在该模型的各因素中,社交网络事件对受害恐惧的影响最大,而不受感知受害风险的调节。总体而言,本研究支持受害恐惧的结构模型。
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