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Using Linguistic Activity in Social Networks to Predict and Interpret Dark Psychological Traits

Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 789)

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.

Notes

Acknowledgements

The authors acknowledge Saint Petersburg State University for a research grant 8.38.351.2015.

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Saint Petersburg State UniversitySaint PetersburgRussia
  2. 2.ITMO universitySaint PetersburgRussia

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