Analysis of the Relationship Between VK Users’ Psychological Characteristics and Subscriptions to Communities With Deviant Content
Recently, online social networks have become not only communication channels, but also instruments of influence, provoking various forms of deviant behavior: from socially disapproved, deviant to aggressive and delinquent behavior. The growing gap between the level of children’s and adolescents’ involvement in social networks and the understanding of the mechanisms of online information consumption and information influence in social networks determine the high importance of scientific research in this area. The rapid spread of online social networks into all spheres of life makes children and adolescents a target for destructive influence in connection with the yet non-formed mechanisms of adequate assessment of and resistance to negative information. However, the number of tragic cases connected with the content of Internet resources, especially social networks, among adolescents and young people is not decreasing. Despite the existing policy of countering and blocking Internet resources with prohibited information, the number of online communities and user accounts that distribute deviant content is constantly growing. In this regard, research on the psychological safety of children and adolescents using social networks, and the development of methods of protection against destructive informational influence on social networks are becoming extremely popular. The article presents the results of the analysis of the relationship between the psychological characteristics of schoolchildren and students - users of the social network VKontakte - and subscriptions to communities with deviant content; the analysis was carried out using machine learning algorithms and digital footprint data mining. To analyze the relationship between the psychological characteristics of VKontakte users and subscriptions to communities with deviant content, a study was carried out in three areas: psychodiagnostics of respondents using a168 specially developed online platform; research of the digital footprints of respondents using tools and algorithms for analyzing big data of VKontakte; study of the features of the content of VKontakte deviant communities. As a result of the study, the hypothesis about the connection between the psychological characteristics of VKontakte users and the consumption of deviant content was verified. Significant connections were found between extraversion, benevolence, consciousness, openness to experience, neuroticism, depression, anxiety, stress, and aggressiveness (with different levels of severity) with subscriptions to communities with dangerous and harmful content and the time of activity in the social network.
Keywords
social networks,
deviant online communities,
digital footprint,
extraversion,
benevolence,
neuroticism,
depression,
anxiety,
stress,
youthAuthors
Serbina Galina N. | Tomsk State University | gnserbina@gmail.com |
Matsuta Valeria V. | Tomsk State University | matsuta-vv@mail.ru |
Goiko Vyacheslav L. | Tomsk State University | goiko@data.tsu.ru |
Всего: 3
References
Информационное общество в Российской Федерации. 2020 : стат. сборник. М. : НИУ ВШЭ, 2020.
Роскомнадзор - РБК: В Роскомнадзоре назвали число заблокированных за пять лет сайтов // Федеральная служба по надзору в сфере связи, информационных технологий и массовых коммуникаций. 2017. URL: https://rkn.gov.ru/press/publications/news48346.htm (дата обращения: 14.04.2021).
Итоги работы с обращениями граждан в 2019 году // Федеральная служба по надзору в сфере связи, информационных технологий и мас совых коммуникаций. 2019. URL: https://rkn.gov.ru>docs>doc_2606 (дата обращения: 14.04.2021).
Губанов Д.А., Новиков Д.А., Чхартишвили А.Г. Социальные сети // Модели информационного влияния, управления и противоборства. М. : Физматлит, 2010.
Gubanov D.A., Chkhartishvili A.G. A conceptual approach to online social networks analysis // Automation and Remote Control. 2015. Т. 76, № 8. С. 1455-1462.
Мацута В.В., Мундриевская Ю.О., Сербина Г.Н., Мищенко Е.С. Анализ текстового контента девиантных онлайн-сообществ (на примере сообществ скулшутинга) // Гуманитарный научный вестник. 2020. № 3. С. 90-101.
Gubanov D.A., Chkhartishvili A.G. An actional model of user influence levels in a social network // Automation and Remote Control. 2015. Т. 76, № 7. С. 1282-1290.
Коршунов А. и др. Анализ социальных сетей : методы и приложения // Труды Института системного программирования РАН. 2014. Т. 26, № 1.
Евсеев В.Д., Пешковская А.Г., Мацута В.В., Мандель А.И, Бохан Н.А. Взаимосвязь цифровых маркеров онлайн-активности и социально демографических характеристик лиц призывного возраста с несуицидальными формами самоповреждающего поведения // Суицидология. 2020. Вып. 11, № 3 (40). С. 72-83.
Bartunov S., Korshunov A., Park S., Ryu W., Lee H. Joint link-attribute user identity resolution in online social networks // Proceedings of the 6th International Conference on Knowledge Discovery and Data Mining, Workshop on Social Network Mining and Analysis. ACM. 2012.
Шахмартова О.М., Болтага Е.Ю. Психологические аспекты общения в социальных сетях виртуальной реальности // Известия Пензенского государственного педагогического университета им. В.Г. Белинского. 2011. № 24.
Асмолов А.Г., Асмолов Г. А. От Мы-медиа к Я-медиа: трансформации идентичности в виртуальном мире // Вестник Московского университета. Серия 14: Психология. 2010. № 1.
Авербух Н.В. Психологические аспекты феномена присутствия в виртуальной среде // Вопросы психологии. 2010. Т. 5. С. 105-113.
Войскунский А.Е. Психология и интернет. М. : Акрополь, 2010. Т. 439.
Bonson E., Royo S., Ratkai M. Citizens' engagement on local governments' Facebook sites. An empirical analysis: The impact of different media and content types in Western Europe // Government Information Quarterly. 2015. Vol. 32 (1). Р. 52-62.
Anderson C.A., Bushman B.J. The effects of media violence on society // Science. 2002. Vol. 295 (5564). Р. 2377-2379.
Anderson C.A., Bushman B.J. Effects of violent video games on aggressive behavior, aggressive cognition, aggressive affect, physiological arousal, and prosocial behavior : A meta-analytic review of the scientific literature // Psychological science. 2001. Vol. 12(5). Р. 353-359.
Festl R., Quandt T. Social Relations and Cyberbullying : The Influence of Individual and Structural Attributes on Victimization and Perpetration via the Internet // Human Communication Research. 2012. Vol. 39 (1). Р. 101-126. DOI: 10.1111/j.1468-2958.2012.01442.x
Van Geel M., Goemans A., Toprak F., Vedder P. Which personality traits are related to traditional bullying and cyberbullying? A study with the Big Five, Dark Triad and sadism // Personality and Individual Differences. 2017. Р. 231-235. DOI: 10.1016/j.paid.2016.10.063
Resett S., Gamez-Guadix M. Traditional bullying and cyberbullying: Differences in emotional problems, and personality. Are cyberbullies more Machiavellians? // Journal of Adolescence. 2017. Vol. 61. Р. 113-116. DOI: 10.1016/j.adolescence.2017.09.013
Gibb Z.G., Devereux P.G. Who does that anyway? Predictors and personality correlates of cyberbullying in college // Computers in Human Behavior. 2014. Vol. 38. Р. 8-16. DOI: 10.1016/j.chb.2014.05.009
Goodboy A.K., Martin M.M. The personality profile of a cyberbully: Examining the Dark Triad // Computers in Human Behavior. 2015. Vol. 49. Р. 1-4. DOI: 10.1016/j.chb.2015.02.052
Bessiere K, Pressman S, Kiesler S, Kraut R. Effects of Internet Use on Health and Depression : A Longitudinal Study. // Journal of Medical Internet Research. 2010. Vol. 12 (1). Art. No. e6. DOI: 10.2196/jmir.1149
De la Pena, A., Quintanilla C. Share, like and achieve: the power of Facebook to reach health-related goals // International Journal of Consumer Studies. 2015. Vol. 39 (5). Р. 495-505. DOI: 10.1111/ijcs.12224
Merolli M., Gray K., Martin-Sanchez F. Health outcomes and related effects of using social media in chronic disease management : A literature review and analysis of affordances // Journal of Biomedical Informatics. 2013. Vol. 46 (6). Р. 957-969. DOI: 10.1016/j.jbi.2013.04.010
Kramer A.D.I., Guillory J.E., Hancock J.T. Experimental evidence of massive-scale emotional contagion through social networks // Proceedings of the National Academy of Sciences. 2014. Vol. 111 (24). Р. 8788-8790. DOI: 10.1073/pnas.1320040111
Peshkovskaya A., Matsuta V., Evseev V. Time spent online on social networks linked with anxiety and personality traits // European Neuropsychopharmacology. 2020. Vol. 40 (1). Р. 387-388. DOI: 10.1016/j.euroneuro.2020.09.502
Peshkovskaya A., Evseev V., Matsuta V., Myagkov M. Social media content preferences and non-suicidal self-injuries in youth // European Neuropsychopharmacology. 2020. Vol. 40 (1). Р. 388. DOI: 10.1016/j.euroneuro.2020.09.503