The language of character strengths: Predicting morally valued traits on social media.
Values in Action survey
character strengths
language analysis
social media
well-being
Journal
Journal of personality
ISSN: 1467-6494
Titre abrégé: J Pers
Pays: United States
ID NLM: 2985194R
Informations de publication
Date de publication:
04 2020
04 2020
Historique:
received:
10
09
2018
revised:
07
05
2019
accepted:
14
05
2019
pubmed:
21
5
2019
medline:
16
4
2021
entrez:
21
5
2019
Statut:
ppublish
Résumé
Social media is increasingly being used to study psychological constructs. This study is the first to use Twitter language to investigate the 24 Values in Action Inventory of Character Strengths, which have been shown to predict important life domains such as well-being. We use both a top-down closed-vocabulary (Linguistic Inquiry and Word Count) and a data-driven open-vocabulary (Differential Language Analysis) approach to analyze 3,937,768 tweets from 4,423 participants (64.3% female), who answered a 240-item survey on character strengths. We present the language profiles of (a) a global positivity factor accounting for 36% of the variances in the strengths, and (b) each of the 24 individual strengths, for which we find largely face-valid language associations. Machine learning models trained on language data to predict character strengths reach out-of-sample prediction accuracies comparable to previous work on personality (r The findings suggest that Twitter can be used to characterize and predict character strengths. This technique could be used to measure the character strengths of large populations unobtrusively and cost-effectively.
Identifiants
pubmed: 31107975
doi: 10.1111/jopy.12491
pmc: PMC7065131
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
287-306Informations de copyright
© 2019 The Authors. Journal of Personality Published by Wiley Periodicals, Inc.
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