Dark Personalities on Facebook: Harmful Online Behaviors and Language

Dark Personalities on Facebook: Harmful Online Behaviors and Language. Olga Bogolyubova et al. Computers in Human Behavior, https://doi.org/10.1016/j.chb.2017.09.032

Highlights
•    We explore the interplay of the Dark Triad, harmful online behaviors and language
•    Psychopathy and male gender predict engagement in harmful online behaviors
•    Facebook users with dark traits have identifiable language characteristics
•    Findings are consistent with previous research using non-linguistic criteria

Abstract: The goal of this paper was to assess the connection between dark personality traits and engagement in harmful online behaviors in a sample of Russian Facebook users, and to describe the language they use in online communication. A total of 6,724 individuals participated in the study (mean age = 44.96 years, age range: 18–85 years, 77.9% — female). Data was collected via a purpose-built application, which served two purposes: administer the survey and download consenting user’s public wall posts, gender and age from the Facebook profile. The survey included questions on engagement in harmful online behaviors and the Short Dark Triad scale; 15,281 wall posts from 1,972 users were included in the dataset. These posts were subjected to morphological, lexical and semantic analyses. More than 25% of the sample reported engaging in harmful online behaviors. Males were more likely to send insulting or threatening messages and post aggressive comments; no gender differences were found for disseminating other people’s private information. Psychopathy and male gender were the unique predictors of engagement in harmful online behaviors. A number of significant correlations were found between the dark traits and numeric, lexical, morphological and semantic characteristics of the participants’ posts.

Keywords: Dark Triad; Facebook; cyber aggression; Russian language; distributional semantics; word clustering