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TELL ME WHO YOU ARE
Blekinge Ctr Competence, Sweden; Network Well Being, Sweden.
Network Well Being, Sweden; Lund Univ, Sweden.
Linköping University, Department of Behavioural Sciences and Learning, Psychology. Linköping University, Faculty of Arts and Sciences. Blekinge Ctr Competence, Sweden; Network Well Being, Sweden; Univ Gothenburg, Sweden.
2020 (English)In: TPM - Testing, Psychometrics, Methodology in Applied Psychology, ISSN 1972-6325, Vol. 27, no 2, p. 153-170Article in journal (Refereed) Published
Abstract [en]

The aim of the study was to analyze freely generated self-presentations through the natural language processing technique of Latent Semantic Analysis (LSA). Four hundred fifty-one participants (F = 360; M = 143) recruited from LinkedIn (a professional social network) were randomly assigned to generate 10 words to describe themselves to either an employer (recruitment-condition) or a friend (friendship-condition). The words frequency-rate and their semantic representation were compared between conditions and to the natural language (Googles n-gram database). Self-presentations produced in the recruitment condition (vs. natural language) had significantly higher number of agentic words (e.g., problemsolver, responsible, able team-worker) and their contents were semantically closer to the concept of agency (i.e., competence, assertiveness, decisiveness) comparing to the friendship condition. Furthermore, the valence of the self-presentations words was higher (i.e., with a more positive meaning) in the recruitment condition. Altogether, these findings are consistent with the literature on the "Big Two," self-presentation, and impression management.

Place, publisher, year, edition, pages
CENTRO INFORMAZIONE SCIENTIFICA ECONOMICA SOCIALE-CISES SRL , 2020. Vol. 27, no 2, p. 153-170
Keywords [en]
Latent semantic analysis; Agency; Communion; Self-presentation; Impression management
National Category
General Language Studies and Linguistics
Identifiers
URN: urn:nbn:se:liu:diva-171731DOI: 10.4473/TPM27.2.1ISI: 000588724500001OAI: oai:DiVA.org:liu-171731DiVA, id: diva2:1505368
Available from: 2020-11-30 Created: 2020-11-30 Last updated: 2020-11-30

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
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