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:: Volume 13, Issue 45 (2016) ::
2016, 13(45): 189-207 Back to browse issues page
Iranophobia in CNN News Talks; A Study Based on Van Dyke’s Critical Discourse Analysis Approach
Seyed Mehdi Sharifi , Nafiseh Ansari * 1, Mina Asadollahzadeh
1- , ansari.nafiseh@ut.ac.ir
Abstract:   (4310 Views)

Enjoying the revolutionary essence of Shiite school, the Islamic Republic of Iran creates a model from structure of Islamic government revolving around the core of political Islam which is considered to be challenging for the global system of domination. This study aims at evaluating the discourse of Iranophobia in CNN channel. Using Van Dyke’s critical discourse analysis method, the authors have dealt with studying the discourse of the presenter of GPS News Talk on 2013 in two categories of text and social context. The category of text was investigated in three levels of meaning, style and deduction while the category of context was studies in two levels of availability rate and participants. The results indicate that Fareed Zakaria’s discourse in regard to dealing with Iran’s problems is biased.

Keywords: Media, Representation, Ideology, Iranophobia, Critical Discourse Analysis.
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Type of Study: Research |
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Sharifi S M, Ansari N, Asadollahzadeh M. Iranophobia in CNN News Talks; A Study Based on Van Dyke’s Critical Discourse Analysis Approach. Scientific Quarterly Journal of Islamic Revolution Studies 2016; 13 (45) :189-207
URL: http://enghelab.maaref.ac.ir/article-1-342-en.html


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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 13, Issue 45 (2016) Back to browse issues page
فصلنامه علمی مطالعات انقلاب اسلامی Journal of Islamic Revolution Studies
         نشانی: قم - بلوار جمهوری اسلامی - بین کوچه 4 و 6 - پلاک 72 - طبقه 2 - معاونت پژوهشی دانشگاه معارف اسلامی،
صندوق پستی: 6173-37155، تلفن و نمابر: 32110622-025، پست الکترونیکی: Irs@maaref.ac.ir
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