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Abstract

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.

Original languageEnglish
Number of pages19
JournalInformation Society
Volume42
Issue number1
Early online date2 Nov 2025
DOIs
Publication statusPublished - 31 Jan 2026

Bibliographical note

Publisher Copyright:
© 2025 The Author(s). Published with license by Taylor & Francis Group, LLC.

Funding

This work was supported by Economic and Social Research Council.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 16 - Peace, Justice and Strong Institutions
    SDG 16 Peace, Justice and Strong Institutions

Keywords

  • Cluster analysis
  • cybercrime
  • cyberdeviance
  • online behavior
  • repertory grid
  • typology

ASJC Scopus subject areas

  • Management Information Systems
  • Cultural Studies
  • Information Systems
  • Political Science and International Relations

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  • CREST 3.0

    Smith, L. G. E. (PI)

    ESRC

    1/10/2030/09/23

    Project: Research council

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