COMMUNICATIVE TYPE “MUNICIPAL EMPLOYEE” IN THE MEDIA SPACE: DEVELOPMENT OFAN 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. © 2024, Volgograd State University. All rights reserved.

Авторы
Karabulatova I.S. , Vorontsov K.V. , Okolyshev D.A. , Zhang L.
Номер выпуска
5
Язык
Английский
Страницы
72-86
Статус
Опубликовано
Том
23
Год
2024
Организации
  • 1 Research Center for Digital Humanities, Institute of the Russian Language, Heilongjiang University, Xuefu Rd, 74, Harbin, China
  • 2 Laboratory “Machine Learning and Semantic Analysis”, Institute of Artificial Intelligence, Lomonosov Moscow State University, Leninskie gory, 1, Moscow, 119991, Russian Federation
  • 3 Department of Foreign Languages, Faculty of Philology, Peoples’ Friendship University of Russia named after Patrice Lumumba, Miklukho-Maklaya St, 6, Moscow, 117198, Russian Federation
  • 4 Russian Academy of Sciences, Laboratory “Machine Learning and Semantic Analysis”, Institute of Artificial Intelligence, Department of Mathematical Forecasting Methods, Lomonosov Moscow State University, Leninskie gory, 1, Moscow, 119991, Russian Federation
  • 5 Department of Intelligent Systems, Moscow Institute of Physics and Technology, Kerchenskaya St, 1a, Bld. 1, Moscow, 117303, Russian Federation
  • 6 Laboratory “Machine Learning and Semantic Analysis”, Institute of Artificial Intelligence, Department of Mathematical Forecasting Methods, Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University, Leninskie gory, 1, Moscow, 119991, Russian Federation
  • 7 Department of Foreign Languages, Peoples’ Friendship University of Russia named after Patrice Lumumba, Miklukho-Maklaya St, 6, Moscow, 117198, Russian Federation
Ключевые слова
communication studies; constructeme; destructeme; digital humanities; markers of emotivity; media discourse; media image of municipal government; municipal management
Цитировать
Поделиться

Другие записи

Pashkov A.V., Naumova I.V., Pashkova A.Е., Voevodina K.I., Popadyuk V.I.
Голова и шея. Российское издание. Журнал Общероссийской общественной организации "Федерация специалистов по лечению заболеваний головы и шеи". Том 12. 2024. С. 80-85
Yamshchikova A.S., Tkachenko B.E., Mkrtchyan L.S., Korotkov V.A., Krikunova L.I., Shitareva V.N., Ripp V.O., Ryabceva O.D., Ivanov S.A., Kaprin A.D.
Опухоли женской репродуктивной системы. Общество с ограниченной ответственностью "Издательский дом "АБВ-пресс". Том 20. 2024. С. 133-138