Predicting Personal Traits from Vkontakte Images

— Psychometric analysis of information from the Internet is one of the fastest growing trends in modern research. Using social networks, one can identify psychological characteristics and mental disorders. In this paper, we solve the problem of identifying personal traits, that is, predictors of dep...

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Bibliographic Details
Published inScientific and technical information processing Vol. 47; no. 6; pp. 383 - 388
Main Authors Ignatiev, N. A., Stankevich, M. A., Smirnov, I. V., Kiselnikova, N. V., Grigoriev, O. G.
Format Journal Article
LanguageEnglish
Published Moscow Pleiades Publishing 01.12.2020
Springer Nature B.V
Subjects
Computer Science
Computer Systems Organization and Communication Networks
Mental disorders
Object recognition
Personality traits
Quantitative psychology
Social networks
personality traits
machine learning
social media
image recognition
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Summary:— Psychometric analysis of information from the Internet is one of the fastest growing trends in modern research. Using social networks, one can identify psychological characteristics and mental disorders. In this paper, we solve the problem of identifying personal traits, that is, predictors of depression among users of the VKontakte social network by analyzing the images they publish. We describe our methods and approaches for solving this problem and present the results of experimental verification on Vkontakte data. Our study shows that one can use object detection methods to create effective features for predicting personality traits.
ISSN:0147-6882
1934-8118
DOI:10.3103/S0147688220060039