Коммуникативные процессы в сетевой среде: междисциплинарный анализ политически активных сообществ в Фейсбуке
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.
Social networks are a unique infrastructure mediating the socio-political activity of youth. Mapping of communications of actors and groups allows us to make social processes evident, and observe them in dynamics allows recording the corresponding trends. Authors of the article offered the unique method of a grain clustering allowing to reflect most fully with the minimum technical expenses the current picture of political activity in social networks. From 2013 for 2018 authors conducted more than 20 researches on the mapping of political activity of different levels – federal and regional. This researches described in detail the results of mapping 2018, but also provide a comparison in dynamics with the previous researches. Three main political clusters on Facebook are considered: pro-Putin, nationalist and oppositional. The volume of total selection is 1535 politically active groups of the federal level.
[EN] Introduction. Features of political communication in Russian-speaking segment of the Facebook network are analyzed in the article. According to researchers unlike their counterparts in the U.S. and elsewhere, Russian bloggers prefer platforms that combine features typical of blogs with features of social network services like Facebook. Objectives. The objectives were: classification of actors in the political groups in the Russian-speaking segment of Facebook and analysis of their sociolinguistic behavior. Method. The interdisciplinary analysis based on scope of politically active groups (N 200) and actors (N 291) during January – May, 2014. Results. Actors were classified by politic opinions into mainstream, oppositional and nationalist Clusters and based on network activity into designers of communication space, manipulators, graphomaniacs and local cluster authors. Their communicative and speech behavior was also analyzed and shown shaped specific virtual identities, which demonstrate distinguished sociolinguistic behavior. Discussion and Conclusion. Today the analysis of communication processes in politically active communities in the network environment is of great importance as the virtual sphere becomes more and more significant for achieve of various political aims both in Russia and around the world. The prospect of an actual study is to identify the ratio of online and off-line communication activity of actors in the political sphere in the Russian segment of Facebook.