Development and testing of a dimensional typology of cyberdeviance
通过两项研究识别出网络越轨行为的五个关键维度，并发现三种子类型（数据导向、人际导向、非典型），为分类和针对性干预提供框架。
The burgeoning field of cyberdeviance lacks a unified conceptual framework, hindering classification and understanding of its subtypes and underlying psychological mechanisms. To address this gap, we conducted two studies. In Study 1 (N = 20), employing the repertory grid technique, we identified five key dimensions of cyberdeviance. In Study 2 (N = 268), participants rated 16 cyberdeviant behaviors on these dimensions, revealing three subtypes: data-oriented, interpersonal, and non-prototypical cyberdeviance. Our findings suggest a shift from singular cyberdeviance investigation toward recognition of its diverse subtypes, each necessitating tailored interventions. By adopting a dimensional approach, we transcend categorical and technocentric perspectives, enabling examination of behavior clusters across cultural and temporal contexts. Our work underscores the importance of integrating foundational deviance theories and expanding conceptual frameworks to comprehensively grasp cyberdeviance phenomena.