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A Corpus-Assisted Discourse Analysis of the representation of the Rohingya minority group in Myanmar.
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Theology, Department of Theology.
2017 (English)Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

This paper explores the representation of the Rohingya minority group in Rakhine State, Myanmar, through the methods of corpus-assisted discourse studies. The research is based on the NOW Corpus, curated and designed by Mark Davies at Brigham Young University. On the basis of concordance and collocation analysis, this paper draws several important conclusions, arguing that online media have in general depicted the Rohingya people as a homogenous, passive group of victims, while minimizing agency of the Myanmar Security Forces and Government of Myanmar, their persecutors. In addition, the data reveals that the representation of the Rohingya people focuses heavily on depicting them as Muslims and creating a sharp dichotomy between Muslims and Buddhists in Myanmar. This in turn neglects opportunities for Buddhist and non-minority supporters of the Rohingya people to be heard. This suggests that more should be done to counteract the homogenous representation of the Rohingya people, and provide more well-balanced online journalism which accepts the divisiveness of creating such religious dichotomies.

Place, publisher, year, edition, pages
2017. , 68 p.
National Category
Religious Studies
Identifiers
URN: urn:nbn:se:uu:diva-322531OAI: oai:DiVA.org:uu-322531DiVA: diva2:1098387
Educational program
Master Programme in Religion in Peace and Conflict
Supervisors
Examiners
Available from: 2017-05-25 Created: 2017-05-24 Last updated: 2017-05-25Bibliographically approved

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CiteExportLink to record
Permanent link

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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
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