Analysis of big five personality traits by processing of social media users activity features

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. © 2018 CEUR-WS. All Rights Reserved.

Авторы
Stankevich M. 1, 2 , Smirnov I. 1, 2 , Ignatiev N. 2 , Grigoriev O.1 , Kiselnikova N.3
Сборник материалов конференции
Издательство
CEUR-WS
Язык
Английский
Страницы
162-166
Статус
Опубликовано
Том
2277
Год
2018
Организации
  • 1 Institute for Systems Analysis, Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, Moscow, Russian Federation
  • 2 RUDN University, Moscow, Russian Federation
  • 3 Psychological Institute of Russian Academy of Education, Moscow, Russian Federation
Ключевые слова
Big five personality traits; Classification; Machine learning; Social media analysis
Дата создания
04.02.2019
Дата изменения
04.02.2019
Постоянная ссылка
https://repository.rudn.ru/ru/records/article/record/36498/