CONCEPTUAL BLENDING IN METAPHORS IN THE 2016 PRE-ELECTION CAMPAIGN

التفاصيل البيبلوغرافية
العنوان: CONCEPTUAL BLENDING IN METAPHORS IN THE 2016 PRE-ELECTION CAMPAIGN
المؤلفون: Alzira Akhsianovna Minikeeva, Aida G. Sadykova, Edward Lazzerini
المصدر: Humanities & Social Sciences Reviews. 7:281-285
بيانات النشر: Maya Global Education Society, 2019.
سنة النشر: 2019
مصطلحات موضوعية: Presidential system, Metaphor, General Arts and Humanities, media_common.quotation_subject, 05 social sciences, Novelty, 050301 education, General Social Sciences, Focus (linguistics), Epistemology, Convergent and divergent production, Conceptual blending, Originality, Mental space, 0502 economics and business, Sociology, 0503 education, 050203 business & management, media_common
الوصف: 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.
تدمد: 2395-6518
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::fe8016180a4d5d7cc27ae9a34368486d
https://doi.org/10.18510/hssr.2019.7650
رقم الأكسشن: edsair.doi...........fe8016180a4d5d7cc27ae9a34368486d
قاعدة البيانات: OpenAIRE