Abstract
Studying the relationships between one’s psychological characteristics and linguistic behaviour is a problem of a profound importance in many fields ranging from psychology to marketing, but there are very few works of this kind on Russian-speaking samples. We use Latent Dirichlet Allocation on the Facebook status updates to extract interpretable features that we then use to identify Facebook users with certain negative psychological traits (the so-called Dark Triad: narcissism, psychopathy, and Machiavellianism) and to find the themes that are most important to such individuals.
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The authors acknowledge Saint Petersburg State University for a research grant 8.38.351.2015.
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Moskvichev, A., Dubova, M., Menshov, S., Filchenkov, A. (2018). Using Linguistic Activity in Social Networks to Predict and Interpret Dark Psychological Traits. In: Filchenkov, A., Pivovarova, L., Žižka, J. (eds) Artificial Intelligence and Natural Language. AINL 2017. Communications in Computer and Information Science, vol 789. Springer, Cham. https://doi.org/10.1007/978-3-319-71746-3_2
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