Using semantic similarity to understand the psychological constructs related to prosociality

A.M. Evans, H. Rosenbusch, M. Zeelenberg

Research output: Contribution to journalArticleScientificpeer-review

3 Citations (Scopus)
138 Downloads (Pure)

Abstract

Prosociality (measured with economic games) is correlated with individual differences in psychological constructs (measured with self-report scales). We review how methods from natural language processing, a subfield of computer science focused on processing natural text, can be applied to understand the semantic content of scales measuring psychological constructs correlated with prosociality. Methods for clustering language and assessing similarity between text documents can be used to assess the novelty (or redundancy) of new scales, to understand the overlap among different psychological constructs, and to compare different measures of the same construct. These examples illustrate how natural language processing methods can augment traditional survey- and game-based approaches to studying individual differences in prosociality.
Keywords: Natural language processing, Prosocial behavior, Individual differences
Original languageEnglish
Pages (from-to)226-230
JournalCurrent Opinion in Psychology
Volume44
DOIs
Publication statusPublished - 2022

Keywords

  • Individual differences
  • Natural language processing
  • Prosocial behavior

Fingerprint

Dive into the research topics of 'Using semantic similarity to understand the psychological constructs related to prosociality'. Together they form a unique fingerprint.

Cite this