TY - JOUR

T1 - Dark personalities on Facebook

T2 - Harmful online behaviors and language

AU - Bogolyubova, Olga

AU - Panicheva, Polina

AU - Tikhonov, Roman

AU - Ivanov, Viktor

AU - Ledovaya, Yanina

PY - 2018/1/1

Y1 - 2018/1/1

N2 - 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 6724 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 1972 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.

AB - 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 6724 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 1972 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.

KW - Cyber aggression

KW - Dark Triad

KW - Distributional semantics

KW - Facebook

KW - Russian language

KW - Word clustering

UR - http://www.scopus.com/inward/record.url?scp=85030258986&partnerID=8YFLogxK

U2 - 10.1016/j.chb.2017.09.032

DO - 10.1016/j.chb.2017.09.032

M3 - Article

AN - SCOPUS:85030258986

VL - 78

SP - 151

EP - 159

JO - Computers in Human Behavior

JF - Computers in Human Behavior

SN - 0747-5632

ER -