Constructing the cyber-troll: Psychopathy, sadism, and empathy

Authored by sciencedirect.com and submitted by shiruken

Online trolling is of particular concern due to the harmful negative outcomes its victims experience. The current study sought to explore and extend the personality profile of Internet trolls. After gender was controlled for, psychopathy, sadism, and empathy (affective empathy, cognitive empathy, and social skills) were examined for their predictive utility of trolling behaviour. A sample of 415 participants (36% men, 63% women, 1% other) with a mean age of 23.37 years (SD = 7.19) completed an online questionnaire. Results showed that men were more likely than women to engage in trolling, and higher levels of trait psychopathy and sadism predicted trolling behaviour. Lower levels of affective empathy predicted perpetration of trolling, and trait psychopathy moderated the association between cognitive empathy and trolling. Results indicate that when high on trait psychopathy, trolls employ an empathic strategy of predicting and recognising the emotional suffering of their victims, while abstaining from the experience of these negative emotions. Thus, trolls appear to be master manipulators of both cyber-settings and their victims' emotions.

Smauler on November 30th, 2017 at 01:22 UTC »

Can we have a definition of a troll, please?

A troll, to my mind, is someone who says something stupid deliberately to bait others to respond to their comment. At least, that was the original meaning.

They don't actually believe what they say a lot of the time.

I think the meaning has shifted so that people with "offensive" opinions are now considered trolls.

They're not in my opinion.

The_Power_Of_Three on November 29th, 2017 at 21:55 UTC »

They conducted a survey about online trolling via... online poll? Seems like a recipe for... um... I'm not sure there's a word for it, but when people deliberately mess up your online surveys and stuff.

VadersDawg on November 29th, 2017 at 19:43 UTC »

A sample of 415 participants (36% men, 63% women, 1% other) answered an online questionnaire.

How did they come to choose the ratio in genders and how effective is an online questionnaire?