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Conceptual blending in metaphors in the 2016 pre-election campaign

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dc.contributor.author Minikeeva A.
dc.contributor.author Sadykova A.
dc.contributor.author Lazzerini E.
dc.date.accessioned 2020-01-15T22:09:20Z
dc.date.available 2020-01-15T22:09:20Z
dc.date.issued 2019
dc.identifier.uri https://dspace.kpfu.ru/xmlui/handle/net/156757
dc.description.abstract © Minikeeva et al. Purpose: The article examines metaphor as transferring features of the social world onto the other elements of reality, the 2016 pre-election campaign in particular; the theory of conceptual integration of J. Fauconnier and M. Turner is used to analyzing the metaphor. Methodology: As a material of the research, there were examined transcripts of the 2016 pre-election campaign debates for the presidential position of Donald Trump and Hilary Clinton. Result: The analysis reveals convergent and divergent features of metaphor in the pre-election campaign of Donald Trump and Hilary Clinton. Metaphor in D. Trump’s texts tends to focus on conceptual models ‘we’ and ‘they’ which is deduced with the help of quantitative analysis whereas in H. Clinton’s texts ‘divided nation’ model is mostly described through metaphor. Applications: This research can be used for universities, teachers, and students. Novelty/Originality: In this research, the model of Conceptual Blending in Metaphors in the 2016 Pre-Election Campaign is presented in a comprehensive and complete manner.
dc.subject Cognitive aspect
dc.subject Conceptual blending
dc.subject Mental space
dc.subject Metaphor
dc.subject Pre-election discourse
dc.title Conceptual blending in metaphors in the 2016 pre-election campaign
dc.type Article
dc.relation.ispartofseries-issue 6
dc.relation.ispartofseries-volume 7
dc.collection Публикации сотрудников КФУ
dc.relation.startpage 281
dc.source.id SCOPUS-2019-7-6-SID85075610870


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  • Публикации сотрудников КФУ Scopus [24551]
    Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.

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