Animalistic Metaphor in the Modern Political Media Discourse

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Elena V. Brodovskaya

Doctor of Political Sciences, Associate Professor, Chief Researcher of the Center for Political Studies of the Department of Political Science, Faculty of Social Sciences and Mass Communications, Financial University affiliated to the Government of the Russian Federation, Moscow, Russia

e-mail: brodovskaya@inbox.ru
Anna Yu. Dombrovskaya

Doctor of Sociology, Professor at the Department of Political Science, Director of the Center for Political Studies of the Department of Political Science, Faculty of Social Sciences and Mass Communications, Financial University affiliated to the Government of the Russian Federation, Moscow, Russia

e-mail: an-doc@yandex.ru
Artur A. Azarov

PhD in Technical Sciences, Deputy Director of the North-West Institute of Management of the Russian Presidential Academy of National Economy and Public Administration, Leading Researcher at the Center for Political Studies of the Department of Political Science, Faculty of Social Sciences and Mass Communications, Financial University affiliated to the Government of the Russian Federation, Moscow, Russia

e-mail: artur-azarov@yandex.ru
Vladimir A. Lukushin

Research Assistant at the Center for Political Studies of the Department of Political Science, Faculty of Social Sciences and Mass Communications, Financial University affiliated to the Government of the Russian Federation, Moscow, Russia

e-mail: valukushin@fa.ru

Section: New Media

This article shows the specifics of the representation of the contexts of social discontent reflected in the social media space of the Russian regions, clustered according to economic and socio-political characteristics. While clustering, open data of the indices of economic and political development of the regions of Russia were used. Segmentation of the constituent entities of the Russian Federation was carried out using hierarchical cluster analysis (the “complete” method) in the R programming language. Cognitive mapping of the content of social media communities of the constituent entities of the Russian Federation included in different clusters was used to analyze regional features of the representation of contexts of social discontent. The cognitive mapping database was processed in the IBM SPSS Statistics 26.0 program. Among the mapped variables are objects, subjects, spheres, triggers, formats of social discontent, characteristics of user engagement of regional users of digital groups expressing various contexts of social discontent. Event analysis of regional socio-economic and socio-political events made it possible to supplement the results of the interpretation of cognitive mapping data. For a number of regional clusters, a conjugation was revealed between the substantive aspects of social discontent represented in the social media of the Russian regions and the specifics of their economic development. At the same time, an empirical analysis showed the existence of non-linearity in the relationship between social media discourses of social discontent and economic indicators that are characteristic of the other part of regional clusters.

Keywords: social media, social discontent networks, social discontent contexts, cognitive mapping, cluster analysis, regional studies
DOI: 10.30547/vestnik.journ.6.2022.5786

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To cite this article: Brodovskaya E.V., Dombrovskaya A.Yu., Azarov A.A., Lukushin V.A. (2022) Konteksty sotsial'nogo nedovol'stva v novykh media rossiyskikh regional'nykh klasterov [Contexts of Social Discontent in New Media of Russian Regional Clusters]. Vestnik Moskovskogo Universiteta. Seriya 10. Zhurnalistika 6: 57–68. DOI: 10.30547/vestnik.journ.6.2022.5786