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Social interactions in the digital environment: sociolinguistic approach

https://doi.org/10.26907/2079-5912.2024.4.10-17

Abstract

The article reveals the methodological application of sociolinguistic approach in the process of researching the relationship between lexical markers and social interactions in the digital environment. Social interaction in virtual space is investigated through the identification of mechanisms of social field construction through the symbolic nature of the text. As a method, a social network analysis is proposed, which relies on graph theory and visualisation of nodes and edges (‘nodes’) and links (‘links’) with certain types of relationships. The technology of building a corpus of key words and phrases is described, on the basis of which the structure is formed, clusters and the most significant lexical units reflecting the main discourses, themes and frames are singled out. The application of the network analysis method in the empirical field can reveal the mechanisms of interaction between different social groups.

About the Authors

O. V. Goncharova
Pyatigorsk State University
Russian Federation

Goncharova Oksana Vladimirovna, PhD, Associate Professor, Department of Experimental Linguistics and Intercultural Competence

Author ID 56037850600

Pyatigorsk 357532



A. V. Lipatova
Kazan (Volga Region) Federal University
Russian Federation

Lipatova Anna Vyacheslavovna, PhD, Associate Professor, Institute of Social and Philosophical Sciences and Mass Communications, Department of General and Ethnic Sociology

Author ID 59225907300

Kazan, 420008



G. V. Napreenko
Kemerovo State University
Russian Federation

Napreenko Galina Viktorovna, PhD, Associate Professor, Department of Stylistics and Rhetoric.

Kemerovo, 650000



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Review

For citations:


Goncharova O.V., Lipatova A.V., Napreenko G.V. Social interactions in the digital environment: sociolinguistic approach. The Kazan Socially-Humanitarian Bulletin. 2024;(4(67)):10-17. (In Russ.) https://doi.org/10.26907/2079-5912.2024.4.10-17

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