Using available signals on LinkedIn for personality assessment
Fernandez, Sébastien; Stöcklin, Marie; Terrier, Lohyd; Kim, Sowon
2021

Résumé

LinkedIn is considered the most effective social network website for job seekers and recruiters. Although LinkedIn profiles are regularly accessed to evaluate candidates, we know very little about the type of information conveyed. The aim of this study is to determine if LinkedIn profiles convey accurate information about individuals’ personality traits. Drawing from signaling theory, we expect that individuals portray themselves in a manner that will reflect their personality. To examine this assertion, 607 LinkedIn profiles were coded on 33 indicators. Regression analyses and classification statistics demonstrate that Linkedin profiles contain accurate signals of personality traits. Potential use and limitations of LinkedIn as a source of accurate information about personality are discussed.

Détails

Titre Using available signals on LinkedIn for personality assessment
Auteur(s)/ trice(s) Fernandez, Sébastien (Ecole hôtelière de Lausanne, HES-SO University of Applied Sciences Western Switzerland)
Stöcklin, Marie (Ecole hôtelière de Lausanne, HES-SO University of Applied Sciences Western Switzerland)
Terrier, Lohyd (Ecole hôtelière de Lausanne, HES-SO University of Applied Sciences Western Switzerland)
Kim, Sowon (Ecole hôtelière de Lausanne, HES-SO University of Applied Sciences Western Switzerland)
Date 2021-08
Publié dans Journal of research in personality
Volume 2021, vol. 93, article no. 104122, pp. 1-14
Pagination 14 p.
DOI https://doi.org/10.1016/j.jrp.2021.104122
ISSN 0092-6566
Mots-clés (libres) LinkedIn ; social media ; personnality ; big five ; signaling theory
Type d'article scientifique
Domaine Economie et Services
Ecole EHL
Institut Aucun institut
Le document apparaît dans Articles scientifiques
Global

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