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Representations of Gender on Twitter: A Discourse Analysis of Gender in Donald Trump’s and Hillary Clinton’s Tweets
Dalarna University, School of Humanities and Media Studies, English.
2018 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Twitter has become a popular medium for politicians to express their influence. In this study, the representations of gender in a selected number of tweets by Donald Trump and Hillary Clinton are examined. The research questions for this study include what linguistic devices of social behaviour and meaning Trump and Clinton use to construct themselves and address their readers, and whether the differences found can be construed as gendered stereotypes. The theoretical framework for this study is discourse analysis, and the method is Computer-Mediated Discourse Analysis (CMDA), where the analysis is based on two of the four levels of language as described by Herring (2004: 18): social behavior and meaning. The data used for the study was collected between January 12 and March 7, 2018, from the official accounts of Trump and Clinton. The results of the study suggest that both Trump and Clinton correspond to some degree to their respective stereotypical style of male and female gendered communication, although both sometimes use devices connected to the communication style of the opposite gender.

Place, publisher, year, edition, pages
2018.
Keywords [en]
gender stereotyping, discourse analysis, Twitter, Computer-Mediated Communication, Computer-Mediated Discourse Analysis
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URN: urn:nbn:se:du-28119OAI: oai:DiVA.org:du-28119DiVA, id: diva2:1231174
Available from: 2018-07-05 Created: 2018-07-05

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • chicago-author-date
  • chicago-note-bibliography
  • 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