Corpus-assisted Critical Discourse Analysis of CNN's Representation of the Yemen War
Issue Date
2020
Abstract
This study examines the representation of the Yemen war by CNN using corpus-assisted critical discourse analysis (CDA). It is a based upon a corpus comprised of news reports published by the said media outlet between March 2015 and November 2018. Assisted by AntConc, a freeware designed to discover and examine patterns in language use in large collections of electronic texts, a combination of lexical frequency, collocation, and concordance analysis were conducted. It was found that CNN portrayed the Yemen war as a sectarian proxy conflict between Saudi Arabia and Iran since its commencement. This study argues that such kind of media representation simplified and obscured the war's complex character which is rooted in the internal struggle for power and resources among competing domestic forces.
Source or Periodical Title
Journal of Environmental Science and Management
ISSN
0117 1461
Volume
XVIII
Issue
1
Page
94-109
Document Type
Article
Frequency
annually
Physical Description
tables
Language
English
Recommended Citation
Ayson, Miguel Enrico G., "Corpus-assisted Critical Discourse Analysis of CNN's Representation of the Yemen War" (2020). Journal Article. 5348.
https://www.ukdr.uplb.edu.ph/journal-articles/5348