Communicative Type “Municipal Employee” in the Media Space: Development of an Automatic Information and Analytical Assessment System

The article examines the issue of representing municipal government in the media space, followed by the proposed solution for automatically identifying signs of destructive and constructive positioning of communicative types of municipal employees in the public information space. The definition of the concept of the communicative type “municipal employee” with verification features is introduced. The results of the analysis of the organization of local self-government on the example of the Moscow region allowed us to conclude that the communicative type “municipal employee” reflects a diversified system of territorial communicative position within the regional government. The information obtained during the analysis of public information space attitudes regarding the activities of municipal employees can be automated with the method of identifying linguistic markers of emotivity to determine the communicative position of territorial authorities. The suggested methodology for effective automation of the studied subject area in the humanities has been verified as possessing a high scientific potential for further research. It is concluded that the development of technology for monitoring and forecasting public threats based on “soft power” methods through automatic and expert work to identify markers of evaluative presentation of communicative types of municipal employees is designed to help regional authorities achieve the desired results in ensuring territorial identity.

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Institutions

Publication Details

Journal
Vestnik Volgogradskogo gosudarstvennogo universiteta Serija 2 Jazykoznanije
Published
2024-12-27
DOI
https://doi.org/10.15688/jvolsu2.2024.5.6
Citations
3
Primary Topic
Sentiment Analysis and Opinion Mining
Type
article
Field-Weighted Citation Impact
1.04
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article

Communicative Type “Municipal Employee” in the Media Space: Development of an Automatic Information and Analytical Assessment System

Konstantin Vorontsov, Irina S. Karabulatova, Daniil A. Okolyshev, Ludan Zhang
3 citations
Vestnik Volgogradskogo gosudarstvennogo universiteta Serija 2 Jazykoznanije
Sentiment Analysis and Opinion Mining
1.04
article

Communicative Type “Municipal Employee” in the Media Space: Development of an Automatic Information and Analytical Assessment System

Konstantin Vorontsov, Irina S. Karabulatova, Daniil A. Okolyshev, Ludan Zhang
article en
3 citations

Abstract

The article examines the issue of representing municipal government in the media space, followed by the proposed solution for automatically identifying signs of destructive and constructive positioning of communicative types of municipal employees in the public information space. The definition of the concept of the communicative type “municipal employee” with verification features is introduced. The results of the analysis of the organization of local self-government on the example of the Moscow region allowed us to conclude that the communicative type “municipal employee” reflects a diversified system of territorial communicative position within the regional government. The information obtained during the analysis of public information space attitudes regarding the activities of municipal employees can be automated with the method of identifying linguistic markers of emotivity to determine the communicative position of territorial authorities. The suggested methodology for effective automation of the studied subject area in the humanities has been verified as possessing a high scientific potential for further research. It is concluded that the development of technology for monitoring and forecasting public threats based on “soft power” methods through automatic and expert work to identify markers of evaluative presentation of communicative types of municipal employees is designed to help regional authorities achieve the desired results in ensuring territorial identity.

Vestnik Volgogradskogo gosudarstvennogo universiteta Serija 2 JazykoznanijeVol. 23(5)
Peoples' Friendship University of Russia (RU), Moscow Institute of Physics and Technology (RU), Lomonosov Moscow State University (RU)
Openalex Percentile: Top 18%
Sentiment Analysis and Opinion Mining
1.04
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