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Trust and Distrust as Artifacts of Language: A Latent Semantic Approach to Studying Their Linguistic Correlates

机译:信任和不信任作为语言的文物:一种潜在的语义方法来研究他们的语言学相关性

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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.
机译:信任和不信任是人类互动的关键方面,以确定许多组织和业务环境的性质。由于社会化的熟悉,人们对别人的感受,信任和不信任可以影响人们,即使他们不相互认识。允许通过社会化获得的社会知识的一些方面通过语言,即语言相关,即语言相关性,本研究表明,可以从权威文本中提取信任和不信任的已知协会。此外,该研究表明,这种分析甚至可以允许信任和不信任之间的统计分化 - 发现调查研究难以做到的事情。具体而言,预先在调查研究中使用的信任和相关构建体的测量项目以及反映不信任的物品被预测到从心理学教科书创造的语义空间上。通过应用基于协方差的结构方程模型来分析这些项目的所得到的距离矩阵。结果证实了已知的信任和不信任关系模式,并允许将不信任的衡量视为与信任的独特构建。讨论了通过文本分析研究信任理论的潜力。

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