網路互動犯罪被害促發因素之實證研究

研究目的：分析網路使用者的人口特性、自我控制、網路成癮與被害誘因及探討網路互動如何導致犯罪被害。研究方法：樣本（3,056名）源於2021年2月8日至5月16日網路與實體問卷調查，並採用二元邏輯斯迴歸分析。研究結果：（1）曾有網路互動犯罪被害經驗的人約占3成（909人），從未有網路互動犯罪被害經驗者約占7成（2,147人），從網路被害者的人口特性與是否有被害經驗進行關聯性分析結果，無論性別、教育程度或收入高低，網路互動犯罪被害均可能會發生在各種人口特性的網路使用者身上。（2）針對有被害經驗及無被害經驗之樣本進行人格特質差異性分析，結果發現具有低自我控制、網路成癮傾向、易受被害誘因吸引之人格特質者，較易成為網路互動犯罪被害者。（3）不同的年齡、婚姻狀況、延緩衝動、避免冒險、網路行為成癮、偏差資訊、曝露風險對網路互動犯罪被害有顯著影響力，尤其是被害誘因的情境機會為預測網路被害最關鍵的因素。研究結論：根據研究結果提出網路互動犯罪被害預防策略和未來研究相關建議。

關鍵字

自我控制；網路成癮；被害誘因；網路互動犯罪被害；實證研究

並列摘要

Objective: To investigate online users' demographic characteristics, self-control, internet addiction, and triggers of victimization, and to discuss the association between online interaction and crime victimization. METHODS: The sample (N=3,056) was acquired through online and in-person questionnaire surveys from February 8 to May 16, 2021. Binary logistic regression was used for data analysis. Results: (1) Around 30% (909) of the sample were the victims of online interactive crimes, while around 70% (2,147) were non-victims of the crimes. The correlation between the victims' characteristics and past experiences of cybercrime victimization indicated that everyone can be a victim despite their gender, educational level, or income. (2) The personality trait difference analysis between those with and without victimization experience revealed that individuals with low self-control, internet addiction tendency, and the characteristics related to victim proneness were more likely to be victimized by online interactive crimes. (3) The logistic regression analysis showed that age, marital status, impulse delay, risk avoidance, internet addiction, biased information, and exposure risk were significantly associated with being victims of online interactive crimes. Notably, the situational chance of being victimized was the most salient factor in predicting online victimization. Conclusion: Based on the study's results, we propose prevention strategies for online interactive crime victimization and future research suggestions.