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A Corpus-Driven Critical Discourse Analysis of the Representation of the Syrian War and Refugees in the American Media
Malmö University, Faculty of Culture and Society (KS), School of Arts and Communication (K3).
2022 (English)Independent thesis Basic level (degree of Bachelor), 15 credits / 22,5 HE creditsStudent thesis
Abstract [en]

This study investigates the discursive ways in which the Syrian war and the Syrian refugees are being portrayed in the American news media. It was conducted by combining the method Corpus Linguistics with the concepts of Critical Discourse Analysis. The data for this research consists of a virtual sub-corpus created from the NOW (News on the Web) corpus, hosted by English-Corpora. The virtual corpus contains all the data from the NOW corpus with the word SYRIA* in the title and the words SYRIA* and REFUGEE* weref urther investigated by the use of concordance, collocate and KWIC tools. The results for SYRIA* showed that the Syrian war was not the prime focus for media coverage and were therefore underrepresented. The collocations around REFUGEE* demonstrated that the conceptual metaphor REFUGEES ARE WATER, and by extension, REFUGEES ARE A DISASTER, were mapped onto the Syrian refugees. Consequently, the nuisance and inconvenience of the refugees was emphasised and represented them negatively.

Place, publisher, year, edition, pages
2022. , p. 29
Keywords [en]
Corpus linguistics, CDA, Syrian war, Refugees, American media
National Category
General Language Studies and Linguistics
Identifiers
URN: urn:nbn:se:mau:diva-56902OAI: oai:DiVA.org:mau-56902DiVA, id: diva2:1722010
Educational program
KS K3 English studies
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Examiners
Available from: 2023-01-02 Created: 2022-12-25 Last updated: 2023-01-02Bibliographically approved

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Safar, Ahmad Tarek
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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf