Analysis of Big Five Personality Traits by Processing of Social Media Users Activity Features

Авторы

Григорьев О. Г. Смирнов И. В. Станкевич М. А. Игнатьев Н. А.

Аннотация

The study focused on the analysis of relation between Big Five personality traits of a user and his activity in popular Russian social media Vkontakte. In order to receive Big Five personality trait scores, we asked Vkontakte users to complete a psychological survey and then analyzed data from their personal public social media pages. The purpose of the study was to investigate the relation between social media activity features and users’ level of neuroticism, conscientiousness, extraversion, openness to experience and agreeableness. To perform the task, we used machine learning classification algorithms.

Внешние ссылки

PDF на CEUR Workshop Proceedings (на англ.): http://ceur-ws.org/Vol-2277/paper29.pdf

РИНЦ: https://www.elibrary.ru/item.asp?id=38655830

РУДН. Репозиторий: https://repository.rudn.ru/ru/records/article/record/36498/

Ссылка при цитировании

Stankevich M., Smirnov I, Ignatiev N, Grigoriev O, Kiselnikova N. Analysis of Big Five Personality Traits by Processing of Social Media Users Activity Features // Proceedings of the XX International Conference DAMDID/RCDL 2018 (Moscow, Russia, October 9–12, 2018). – Pages 235-239.