The Image of Russia in South Africa Media Discourse: Frames and Metaphors
- Autores: Solopova O.A.1, Koshkarova N.N.1
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Afiliações:
- South Ural State University
- Edição: Volume 16, Nº 1 (2025)
- Páginas: 9-28
- Seção: DISCOURSE STUDIES
- URL: https://journal-vniispk.ru/2313-2299/article/view/323533
- DOI: https://doi.org/10.22363/2313-2299-2025-16-1-9-28
- EDN: https://elibrary.ru/KSGDET
- ID: 323533
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Resumo
Inter-BRICS cooperation is one of the priorities of Russian foreign policy. This indicates a need to understand perceptions of Russia’s image construal and mechanisms of its formation in BRICS’ media discourses. The study seeks to identify the peculiarities of Russia’s image construal in South African media discourse (2011-2024). The source of the material was the NOW corpus (News on the Web) that allowed for creating a virtual sub-corpus. The latter included 1000 articles in English, published in major South African newspapers. Corpus and computer linguistics techniques were used to get frequency lists, find N-grams, collocations and thematic clusters: the NOW corpus manager and the Conceptoscope software analytical complex. The frame, metaphorical modeling, cognitive and discourse methods were used to qualitatively analyze the data. The findings suggest that the image of Russia is framed indirectly in South African discourse: through other countries’ images and interstate relations. The diagnostic frame “partnership” and two prognostic subframes “progress” and “degradation” are dominant in structuring Russia’s image construal. The frame “partnership” is actualized by lexemes with the semantics of cooperation, jointness, and metaphors of “relationship”. The prognostic subframe “progress” is manifest in the use of lexemes with the semantics of expansion, increase, deepening, and “path” metaphors. The prognostic subframe “degradation” is textualized through metaphors with negative connotations. The findings have important implications for clarifying the criteria of frame identification, relying on corpus-based and computational tools, developing discourse theory by introducing the data of South African media discourse.
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Sobre autores
Olga Solopova
South Ural State University
Autor responsável pela correspondência
Email: o-solopova@bk.ru
ORCID ID: 0000-0003-4170-7267
Código SPIN: 6589-5366
Dr. Sc. (Philology), Associate Professor, Professor at the Department of Linguistics and Translation at the Institute of Linguistics and International Communications
76, Lenina Av., Chelyabinsk, Russian Federation, 454080Natalia Koshkarova
South Ural State University
Email: nkoshka@rambler.ru
ORCID ID: 0000-0001-8861-0353
Código SPIN: 3844-0536
Dr. Sc. (Philology), Associate Professor, Professor at the Institute of Linguistics and International Communications
76, Lenina Av., Chelyabinsk, Russian Federation, 454080Bibliografia
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