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2019 International Convention of Psychological Science · 2019

Linkedin Users' Identity Clusters in the Prediction of Affectivity and Regulatory Mode

Paris, France · March 2019

Posters · Industrial/Organizational Psychology

  • Clara Amato
    Region Blekinge
  • Sverker Sikström
    Lund University
  • Danilo Garcia
    Region Blekinge
  • Danilo Garcia
    University of Gothenburg

Abstract

We used quantitative semantics to find clusters of words in LinkedIn users’ self-descriptions. Some of these identity clusters discriminated between LinkedIn users with high/low positive affect (social and messy vs. honest), high/low negative affect (social vs. flexible), high/low locomotion (social vs. flexible), and high/low assessment (analytical vs. happy).

Organizational/Workplace/Leadership

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