Helen Schmidt, Sophia Tran, John D Medaglia, Virginia Ulichney, William J Mitchell, Chelsea Helion
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引用次数: 0
Abstract
Whether it is the first day of school or a new job, individuals often find themselves in situations where they must learn the structure of existing social relationships. However, the mechanisms through which individuals evaluate the strength and nature of these existing relationships - social-relational inference - remain unclear. We posit that linguistic features of conversations may help individuals evaluate social relationships and may be associated with social-relational inference. Leveraging a naturalistic behavioral experiment (57 adults; 34,735 observations), participants watched a mid-season episode of a reality television show and evaluated the observed dyadic relationships between contestants. We employed novel person- and stimulus-focused approaches to: (1) investigate social-relational inference similarity between participants, (2) examine the association between distinct linguistic features and social-relational inference, and (3) explore the relationship between early season conversation similarity and later perceived relationship formation. We found high pairwise participant response similarity across two relational subtypes (friendship, rivalry), distinct associations between relational judgments and linguistic features, including semantic similarity, sentiment, and clout, and no evidence of an association between early conversation similarity and later friendship inference. These findings suggest that naturalistic conversational content is both a potential mechanism of social-relational inference and a promising avenue for future research.
期刊介绍:
The journal provides coverage spanning a broad spectrum of topics in all areas of experimental psychology. The journal is primarily dedicated to the publication of theory and review articles and brief reports of outstanding experimental work. Areas of coverage include cognitive psychology broadly construed, including but not limited to action, perception, & attention, language, learning & memory, reasoning & decision making, and social cognition. We welcome submissions that approach these issues from a variety of perspectives such as behavioral measurements, comparative psychology, development, evolutionary psychology, genetics, neuroscience, and quantitative/computational modeling. We particularly encourage integrative research that crosses traditional content and methodological boundaries.