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Journal article
Trust and Distrust as Artifacts of Language: A Latent Semantic Approach to Studying Their Linguistic Correlates
Frontiers in psychology, v 11, pp 561-561
26 Mar 2020
PMID: 32273866
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Trust and distrust are crucial aspects of human interaction that determine the nature of many organizational and business contexts. Because of socialization-borne familiarity that people feel about others, trust and distrust can influence people even when they do not know each other. Allowing that some aspects of the social knowledge that is acquired through socialization is also recorded in language through word associations, i.e.,
linguistic correlates
, this study shows that known associations of trust and distrust can be extracted from an authoritative text. Moreover, the study shows that such an analysis can even allow a statistical differentiation between trust and distrust—something that survey research has found hard to do. Specifically, measurement items of trust and related constructs that were previously used in survey research along with items reflecting distrust were projected onto a semantic space created out of psychology textbooks. The resulting distance matrix of those items was analyzed by applying covariance-based structural equation modeling. The results confirmed known trust and distrust relationship patterns and allowed measurement of distrust as a distinct construct from trust. The potential of studying trust theory through text analysis is discussed.
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Details
- Title
- Trust and Distrust as Artifacts of Language: A Latent Semantic Approach to Studying Their Linguistic Correlates
- Creators
- David Gefen - Drexel UniversityJorge E. Fresneda - New Jersey Institute of TechnologyKai R. Larsen - University of Colorado Boulder
- Publication Details
- Frontiers in psychology, v 11, pp 561-561
- Publisher
- Frontiers Media S.A
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Decision Sciences (and Management Information Systems)
- Web of Science ID
- WOS:000525677200001
- Scopus ID
- 2-s2.0-85083097748
- Other Identifier
- 991019169592504721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Psychology, Multidisciplinary