Trolls just want to have fun

By Erin E. Buckels, P. Trapnell, D. Paulhus. 2014

834 citations recorded by the source corpus.

Subfields: Clinical Psychology, Social Psychology, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/f3be8a0681e19cd22a57a510ea70fd45f49a2c60

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In Clinical Psychology

In Social Psychology

In Sociology and Political Science

Citations in the corpus

Directions in Abusive Language Training Data: Garbage In, Garbage Out (2020, methodology): “this regard, ‘flagged’ content is akin to the concept of ‘trolling’, which covers a wide range of behaviours, from jokes and playful interventions through to sinister personal attacks such as doxxing [21]. Some forms of trolling can be measured with tools such as the Global Assessment of Internet Tr”
Partisan Polarization Is the Primary Psychological Motivation behind Political Fake News Sharing on Twitter (2020, methodology): “Tomeasure apolitical trolling behavior, we solicited the “cyber-bullying” literature and implemented a fouritem trolling scale (Buckels, Trapnell, and Paulhus 2014), asking participants whether they agreed or disagreed with statements like “I like to troll people in forums or the comments section…”
A Survey on Troll Detection (2020, background): “A troll has been defined as an individual who displays a negative online behaviour [8], or as a user who initially pretends to be a legitimate participant, but later attempts to disrupt the community, not in a blatant way, but aiming to attract the maximum number of responses from the other comm”
Antisocial Behavior in Online Discussion Communities (2015, background): “Trolls have also been characterized as “creatures who take pleasure in upsetting others” (Kir-man, Lineham, and Lawson 2012), and indeed, recent work has found that sadism is strongly associated with trolling tendencies (Buckels, Trapnell, and Paulhus 2014).”
Constructing the cyber-troll: Psychopathy, sadism, and empathy (2017, methodology): “Also corroborating previous research (e.g., Buckels et al., 2014; Craker & March, 2016), trait psychopathy and sadism were significant positive predictors of trolling behaviour.”
Dark Triad traits and their structure: An empirical approach (2020, background): “On the other hand, some researchers argued that there are more than three dark traits, and the Dark Triad should be extended to include status-driven risk taking (Visser et al. 2014) or everyday sadism (Buckels et al. 2014).”
Using Convolutional Neural Networks to Classify Hate-Speech (2017, background): “Similarly, Buckels et al. (2014) aimed to extract traits from online user behaviour that would indicate antisocial personality.”
Which personality traits are related to traditional bullying and cyberbullying? A study with the Big Five, Dark Triad and sadism (2017, background): “In line with this, sadism has been found uniquely related to internet trolling (Buckels et al., 2014), the willingness to hurt innocent people (Buckels et al., , 2013), and juvenile delinquency (Chabrol et al., 2009) when Dark Triad traits were controlled for in the analyses.”
The Assessment of Sadistic Personality: Preliminary psychometric evidence for a new measure (2017, result): “…2014), research supports the incremental validity of sadism in the prediction of a series of maladaptive behaviours, including “trolling” online, adolescent delinquency, and unprovoked aggression (Buckels et al., 2013; Buckels et al., 2014; Chabrol et al., 2009; Reidy, Zeichner, & Seibert, 2011).”
Detecting Offensive Content in Open-domain Conversations using Two Stage Semi-supervision (2018, neutral): “There has also been a line of work on extracting user level features to identify people exhibiting abusive behavior (Chen et al., 2012; Buckels et al., 2014; Papegnies et al., 2017).”
Trolling on Tinder® (and other dating apps): Examining the role of the Dark Tetrad and impulsivity (2017, methodology): “Regardless, the current study has shown that women's trolling behaviours on these apps are higher compared to other online areas such as forums, gaming (Buckels et al., 2014), and Facebook (Craker & March, 2016).”