Abstract
This work sought to identify factors associated with gender cyber-victimization in social networks related to technological (participants’ use of virtual environments and digital competences), cognitive (participants’ concept of gender cyber-violence and perception of risk in online activities), and behavioral factors (participants’ responses to cyber-violence). This is an innovative approach to measuring the phenomenon (identifying predictive factors) since previous studies have measured generalized cyber-violence through types of conduct found on the internet, sex-related differences, or studies focused on the sphere of partner relationships. The research was carried out with a sample of 4,536 adolescents aged 12 to 14, all of them in compulsory secondary education in six different regions of Spain. An instrument consisting of different scales was applied, and the data were analyzed using descriptive, predictive and classifying techniques. The variables identified as predictors during the regression analysis and as characterizers of cyber-victims in the clusters are: wider and more intensive use of social networks; more proactive responses to cyber-violence; lower competences in digital self-protection; a more limited concept of gender cyber-violence; and less awareness of risk in some online behaviors. These results suggest a need to intervene in education in order to minimize the risks exposed.
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