Language-Style Similarity and Social Networks

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.

Medienart:

E-Artikel

Erscheinungsjahr:

2020

Erschienen:

2020

Enthalten in:

Zur Gesamtaufnahme - volume:31

Enthalten in:

Psychological science - 31(2020), 2 vom: 15. Feb., Seite 202-213

Sprache:

Englisch

Beteiligte Personen:

Kovacs, Balazs [VerfasserIn]
Kleinbaum, Adam M [VerfasserIn]

Links:

Volltext

Themen:

Big data
Journal Article
Linguistic style
Polarization
Social networks

Anmerkungen:

Date Completed 25.11.2020

Date Revised 25.11.2020

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1177/0956797619894557

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM304771503