To SPB or not to SPB? A mixed methods analysis of self-protective behaviours to prevent repeat victimisation from cyber abuse

• Main Authors: Zarina I. Vakhitova, Rob I. Mawby, Clair L. Alston-Knox, Callum A. Stephens
• Format: Article
• Language: English
• Published: BMC 2020-11-01
• Series: Crime Science
• Subjects: Cyber abuse; Self-protective behaviours; Repeat victimisation; Bayesian variable selection; Stochastic search algorithm
• Online Access: http://link.springer.com/article/10.1186/s40163-020-00134-5

Abstract This paper presents the findings from a mixed-methods examination of self-protective behaviours (SPBs) adopted by victims of cyber abuse from the rational choice perspective. The data from a sample of the U.S. adults ( $$N = 746$$ N = 746 ), members of an online opt-in panel, were analysed to first distinguish the types of SPBs adopted by victims of cyber abuse using a thematic analysis of open-ended responses. We then identified the factors associated with an increased likelihood of adopting SPBs and the specific identified types of SPBs using logistic regression with Bayesian variable selection and a stochastic search algorithm. Of the six identified types of SPBs, adjusting privacy settings was the most commonly reported response, and improving security (e.g. changing passwords, etc.) was the least common SPB. Older victims who reported higher than the average perceived impact from victimisation, were abused by a stranger and experienced either surveillance of their online activities or multiple types of abuse, were significantly more likely to adopt an SPB. Our findings inform strategies for both Internet user education and for preventing cyber abuse victimisation.