Examining the Dark Tetrad and Its Links to Cyberbullying

Functional and dysfunctional impulsivity mediates the relationships between 'Dark Triad' traits and cyberbullying perpetration

BACKGROUND

Cyberbullying perpetration and victimisation have been associated with psychological distress, including depression and suicidal ideation. Prior studies have shown that the 'Dark Triad' personality traits (narcissism, Machiavellianism, and psychopathy) are associated with greater likelihood of perpetration, yet there is a research gap regarding potential mediators of this relationship.

AIMS

To test whether functional and dysfunctional impulsivity act as mediators between Dark Triad traits and cyberbullying perpetration.

METHODS

A cross-sectional online study was conducted, in which a sample of 141 university students (63% male) from Malaysia were recruited by online and local poster advertising inviting them to complete a questionnaire containing a series of psychometric scales, including measures of 'Dark Triad' personality traits, impulsivity and cyberbullying perpetration.

RESULTS

A relationship between cyberbullying perpetration and higher psychopathy scale scores was mediated by dysfunctional, but not functional, impulsivity. The relationship between cyberbullying and narcissism scores was not mediated by impulsivity. Higher Machiavellianism scores were similarly associated with cyberbullying, but there was no correlation at all between Machiavellianism and impulsivity scores.

CONCLUSION

Our findings add to the literature by showing that not only Dark Triad scale scores are associated with cyberbullying, but that difficulty in refraining from or controlling impulsive behaviours (dysfunctional impulsivity) may be a key component in this relationship. Given that our sample was of generally well-functioning people, our findings may not extend to those with serious cyberbullying problems. Yet, they provide avenues for identifying people at risk of such behaviours before problems become well-established and call for more nuanced approaches towards understanding and intervening with problematic cyberbullying.

The Machiavellian bully revisited: A closer look at differences and processes of Machiavellian bullying and cyberbullying perpetration

Numerous studies on personality traits conducive to traditional bullying and cyberbullying mentioned Machiavellianism as an influential predictor of these behaviors. Machiavellianism comprises manipulative, egotistic orientations that help acquire desired outcomes. However, it is questionable whether bullying and cyberbullying reflect unidimensional constructs since they are frequently categorized into verbal, relational, and physical aspects (with the latter being applicable only in traditional bullying). Similarly, evidence suggests that Machiavellianism is not a uniform trait. In this research, using a sample of 634 students (339 girls; 54%) from 40 classes from eighth to tenth grades, a five-dimensional measure of bullying and cyberbullying was devised and suggested that aspects of (cyber)bullying are related but still separable. Subsequently, differential relations between the five forms of (cyber)bullying and two facets of Machiavellianism were modeled. Those facets were Machiavellian approach (i.e., manipulative aspects of Machiavellianism) and Machiavellian avoidance (i.e., distrustful aspects of Machiavellianism). Multilevel models revealed that Machiavellian approach predicted relational bullying (but not relational cyberbullying) and Machiavellian avoidance predicted verbal (cyber)bullying and physical bullying. All links were mediated by overt dehumanization, that is, the tendency to cognitively deprive a person of typically human characteristics.

Dark tetrad of personality, cyberbullying, and cybertrolling among young adults

Communication applications and social media sites serve as a platform for users to distribute information and connect to other users, potentially allowing perpetrators to perform antisocial behaviors. The current study examined the relationship between Dark Tetrad of personality (i.e., Machiavellianism, narcissism, psychopathy, sadism) and antisocial cyber-behaviors (i.e., cyberbullying, cybertrolling) by surveying young Malaysians (n = 323) aged from 18 to 26. Partial least squares structural equation modelling (PLS-SEM) revealed that Machiavellianism was not related to cyberbullying and cybertrolling, while narcissism was positively related to cyberbullying but not related to cybertrolling. Meanwhile, psychopathy and sadism were positively related to cyberbullying and cybertrolling. The results of this study contribute to the cyber-behaviors literature, knowledge about the antisocial cyber-behaviors in Malaysia, supports sadism as a dark personality and the study acts as a reference to minimize these behaviors.

Predictors and outcomes of cyberbullying among college students: A two wave study

Existing research on cyberbullying has primarily focused on adolescents in cross-sectional survey studies, with less research focusing on college students or employed adults over longer periods of time. To extend this literature, the current study examined new predictors and outcomes of cyberbullying perpetration (CP) and victimization (CV) among college students from two different universities that were followed across two time points. Risk factors were measured in line with previous theoretical models, including biological or personality-related variables (e.g., low self-control, dark-side personality traits, empathy) and environmental variables (e.g., perceived social support, lack of rule clarity, and internet use). Additionally, we examined several possible outcomes of CV and CP. Results from path analyses revealed that involvement with traditional bullying (either as a perpetrator or a victim) as well as Machiavellianism significantly predicted CV and CP. With regard to the cross-lagged associations between CV and CP, we found that Time 1 CV predicted time 2 CP, but Time 1 CP did not predict Time 2 CV. That is, being a victim of cyberbullying during the Fall semester predicted involvement as a perpetrator in the Spring semester. However, being a perpetrator during the Fall semester did not predict being a victim during the Spring semester. Regarding outcomes, we found that CV significantly predicted anxiety, depression, and helping behavior, and CP significantly predicted deviant behavior, but not GPA nor alcohol consumption. These findings have practical implications for college students as well as university student support services.

Cyberbullying Analysis in Intercultural Educational Environments Using Binary Logistic Regressions

The goal of this study is to analyze how religion, ethnic group, and race influence the likelihood of becoming either a cybervictim or cyberbully in intercultural educational environments. In the research, 755 students in secondary education were analyzed in the south of Spain through the Cyberbullying Scale for students with Cultural and Religious Diversity (CSCRD). The analyses were carried out using the Statistical Package SPSS and the STATA software. The results obtained from the Kruskal–Wallis H test showed significant differences according to these aspects, for both the cybervictim and cyberbully parameters. The results stemming from binary logistic regressions confirmed such differences and regarded those students who belong to the Muslim religion, the gypsy ethnic group and the Asian race as being more likely to become cybervictims. Furthermore, these analyses showed that Gypsy and Asian students were also more likely to be cyberbullies than other groups. The main conclusions state that minority groups are more likely to suffer cyberbullying in intercultural educational environments, and that students from these groups are also more likely to become cyberbullies.