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Linguoaxiological Diagnostics of the Supertext of the Russian Media During the Period of the Special Military Operation in Ukraine

Authors: Natalia A. Kupina; Yulia B. Pikuleva;

Linguoaxiological Diagnostics of the Supertext of the Russian Media During the Period of the Special Military Operation in Ukraine

Abstract

The article presents the results of the linguoaxiological diagnostics of the Russian media supertext segment, joined by the chronotope category and the theme of the AFU counteroffensive. It is established that the common feature of the supertext is the expansion of military vocabulary. It is proved that the axiological labeling of speech means depends on the strategic positions of collective actors. As a result of the analysis, the systematization of the verbalized values of Russians was carried out, the ideological foundations of the axiological lexicon of the Ukrainian side and the collective West were revealed, options for the development and resolution of the Ukrainian conflict were identified.

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Keywords

axiological lexicon; counteroffensive; linguoaxiological diagnostics; Russophobia; supertext; Ukrainian conflict; values, аксиологический лексикон; контрнаступление; лингвоаксио­логическая диагностика; русофобия; сверхтекст; украинский конфликт; ценности

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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