Online correlates of cyberhate involvement among young people from ten European countries: An application of the Routine Activity and Problem Behaviour Theory

Sebastian Wachs, Angela Mazzone, Tijana Milosevic, Michelle F. Wright, Catherine Blaya, Manuel Gámez-Guadix, James O'Higgins Norman

Research output: Contribution to journalArticlepeer-review

33 Scopus citations

Abstract

Recent evidence shows that young people across Europe are encountering hateful content on the Internet. However, there is a lack of empirically tested theories and investigation of correlates that could help to understand young people's involvement in cyberhate. To fill this gap, the present study aims to test the Routine Activity Theory to explain cyberhate victimisation and the Problem Behaviour Theory to understand cyberhate perpetration. Participants were 5433 young people (Mage = 14.12, SDage = 1.38; 49.8% boys from ten countries of the EU Kids Online IV survey). Self-report questionnaires were administered to assess cyberhate involvement, experiences of data misuse, frequency of contact with unknown people online, problematic aspects of sharenting, excessive Internet use, and sensation seeking. Results showed that being a victim of cyberhate was positively associated with target suitability (e.g., experiences of data misuse, and contact with unknown people), lack of capable guardianship (e.g., problematic facets of sharenting), and exposure to potential offenders (e.g., witnessing cyberhate, and excessive Internet use). Findings support the general usefulness of using Routine Activity Theory to explain cyberhate victimisation. Being a perpetrator of cyberhate was positively associated with several online problem behaviours (e.g., having contact with unknown people online, excessive Internet use, and sensation seeking), which supports the general assumption of the Problem Behaviour Theory. The findings of this research can be used to develop intervention and prevention programmes on a local, national, and international level.

Original languageEnglish (US)
Article number106872
JournalComputers in Human Behavior
Volume123
DOIs
StatePublished - Oct 2021

All Science Journal Classification (ASJC) codes

  • Arts and Humanities (miscellaneous)
  • Human-Computer Interaction
  • General Psychology

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