Projects per year
Abstract
The burgeoning field of cyberdeviance lacks a unified conceptual framework, hindering classification and understanding of its subtypes as well as 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 towards 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.
Original language | English |
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Journal | Information Society |
Publication status | Acceptance date - 23 Dec 2024 |
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- 1 Finished
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CREST 3.0
Smith, L. G. E. (PI)
Economic and Social Research Council
1/10/20 → 30/09/23
Project: Research council