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.

Authors
Stankevich M. 1, 2 , Smirnov I. 1, 2 , Ignatiev N. 2 , Grigoriev O.1 , Kiselnikova N.3
Conference proceedings
CEUR Workshop Proceedings
Publisher
CEUR-WS
Language
English
Pages
162-166
Status
Published
Volume
2277
Year
2018
Organizations
  • 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
Keywords
Big five personality traits; Classification; Machine learning; Social media analysis
Date of creation
04.02.2019
Date of change
04.02.2019
Short link
https://repository.rudn.ru/en/records/article/record/36498/
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