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Evita March
Researcher at Federation University Australia
Publications - 39
Citations - 1139
Evita March is an academic researcher from Federation University Australia. The author has contributed to research in topics: Psychopathy & Machiavellianism. The author has an hindex of 13, co-authored 39 publications receiving 614 citations. Previous affiliations of Evita March include RMIT University & Australian Catholic University.
Papers
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The dark side of Facebook®: The Dark Tetrad, negative social potency, and trolling behaviours
Naomi Craker,Evita March +1 more
TL;DR: The authors explored personality traits and social motivations associated with individuals who engage in online trolling, specifically on the SNS Facebook® and found that individual trolling behaviour may be better explained by negative social reward motivation than negative personality traits.
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Constructing the cyber-troll: Psychopathy, sadism, and empathy
Natalie Sest,Evita March +1 more
TL;DR: In this paper, the authors explored and extended the personality profile of Internet trolls and found that men were more likely than women to engage in trolling, and higher levels of trait psychopathy and sadism predicted trolling behaviour.
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Trolling on Tinder® (and other dating apps): Examining the role of the Dark Tetrad and impulsivity
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Predicting perpetration of intimate partner cyberstalking
Melissa Smoker,Evita March +1 more
TL;DR: Gender was a significant predictor of intimate partner cyberstalking, with women being more likely to engage in this behaviour than men, and all Dark Tetrad personality traits were found to be significant predictors of intimate Partner Cyberstalking.
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Psychopathy, sadism, empathy, and the motivation to cause harm: New evidence confirms malevolent nature of the Internet Troll
TL;DR: In this article, the utility of gender, primary psychopathy, sadism (direct and vicarious), affective empathy, cognitive empathy, negative social potency, and Vulnerable Dark Triad traits (i.e., secondary psychopath, vulnerable narcissism, and borderline personality traits) could predict additional variance.