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Swipe, text, call : an exploratory analysis of the characteristics associated with cyber dating violence perpetration

Authors: Lopes, Marta Rafaela da Costa;

Swipe, text, call : an exploratory analysis of the characteristics associated with cyber dating violence perpetration

Abstract

O uso da tecnologia e das redes sociais revolucionou a dinâmica dos relacionamentos abusivos. Investigação prévia focou-se na prevalência da violência no namoro por via de meios tecnológicos entre a população adolescente, bem como nas características associadas à (potencial) vitimização. E, embora grandes avanços tenham sido feitos nesta área científica, pouco se sabe sobre as características associadas à sua perpetração com amostras de outras faixas etárias (e.g., jovens adultos). Como tal, este estudo visa obter uma melhor compreensão das relações entre a perpetração da violência no namoro por via de meios tecnológicos e características como idade, sexo, comportamento criminoso prévio e atual e atitudes em relação à violência no namoro, explorando se estas associações são de natureza preditiva. A amostra, de conveniência não probabilística, foi constituída por 521 participantes recrutados por meio de vários canais, através da divulgação do estudo em redes sociais e website institucional. Testes de qui-quadrado e regressões lineares hierárquicas revelaram associações significativas entre perpetração da violência no namoro por via de meios tecnológicos e sexo, idade, comportamento criminoso não violento nos últimos 12 meses, e atitudes em relação à violência no namoro. Os resultados foram interpretados em relação a estudos prévios e à literatura atual. Implicações e sugestões para futuros trabalhos de investigação foram discutidas.

The use of technology and social networks has revolutionised the dynamics of abusive relationships. Previous research has focused on the prevalence of cyber dating violence (CDV) among the adolescent population as well as the characteristics associated with its victimisation. Whilst great strides have been made in this area of research, little is known regarding the characteristics associated with its perpetration with older samples. As such, this study aims to analyse the relationships between CDV perpetration and certain characteristics such as age, sex, historic/present criminal behaviour, and attitudes toward dating violence, and whether these associations are predictive in nature. Therefore, this study hopes to gain a better understanding as to which characteristics are associated with CDV perpetration and why. Five hundred and twenty-one participants were collected as part of a non-probabilistic convenience sample and recruited through various channels such as social media and websites. Chi-square tests and hierarchical linear regressions revealed significant associations between CDV perpetration and age, sex, non-violent criminal behaviour in the last 12 months, and attitudes toward dating violence. More specifically, results were interpreted in relation to previous findings and current literature. Implications and suggestions for future research were discussed.

Orientação; Ana Rita Cruz

Country
Portugal
Related Organizations
Keywords

PSYCHOLOGY, SEXUAL VIOLENCE, MESTRADO EM PSICOLOGIA FORENSE, FORENSIC PSYCHOLOGY, VIOLÊNCIA, PSICOLOGIA FORENSE, PSICOLOGIA, CYBERBULLYING, VIOLÊNCIA SEXUAL, VIOLENCE

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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Green