Literature DB >> 31877069

Language-Style Similarity and Social Networks.

Balazs Kovacs1, Adam M Kleinbaum2.   

Abstract

This research demonstrates that linguistic similarity predicts network-tie formation and that friends exhibit linguistic convergence over time. In Study 1, we analyzed the linguistic styles and the emerging social network of a complete cohort of 285 students. In Study 2, we analyzed a large-scale data set of online reviews. In both studies, we collected data in two waves to examine changes in both social networks and linguistic styles. Using the Linguistic Inquiry and Word Count (LIWC) framework, we analyzed the text of students' essays and of 1.7 million reviews by 159,651 Yelp reviewers. Consistent with our theory, results showed that similarity in linguistic style corresponded to a higher likelihood of friendship formation and persistence and that friendship ties, in turn, corresponded to a convergence in linguistic style. We discuss the implications of the coevolution of linguistic styles and social networks, which contribute to the formation of relational echo chambers.

Keywords:  big data; linguistic style; polarization; social networks

Mesh:

Year:  2019        PMID: 31877069     DOI: 10.1177/0956797619894557

Source DB:  PubMed          Journal:  Psychol Sci        ISSN: 0956-7976


  1 in total

1.  Measuring Internet Slang Style in the Marketing Context: Scale Development and Validation.

Authors:  Shixiong Liu; Yi Wu; Wu Gong
Journal:  Front Psychol       Date:  2022-01-18
  1 in total

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