Malmö University Publications
Change search
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
Learning by Example: A Comparative Case Study on Post-Truth Discourses Between the 2016 US Elections and the 2019 Dutch Elections
Malmö University, Faculty of Culture and Society (KS).
2019 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Earlier studies of populism in International Relations often used generalising concepts to analyse. They furthermore, tend to overlook the diffusive aspect contributing tied to the success of populism, which begged the question if IR theories possess the tool to analyse this success. The research question that followed and guided the research: Is there a process of learning between post-truth politicians, and can post-structuralism explain this process? By drawing on three fields of study within IR and by synthesising the theory of post-structuralism and the concept of learning this research created a comparative critical discourse framework applied to the anti-elitist and climate change narratives of Trump and Baudet. This thesis argues that post-structuralism as a theory helps to understand the discourse related to post-truth politics, but that it cannot pin down the diffusive aspect tied to its success which is why it needs to borrow concepts in order to achieve this. This thesis furthermore, argues that there is indeed a process of learning ongoing based on the similarities in post-truth discursive practices between Trump and Baudet.

Place, publisher, year, edition, pages
Malmö universitet/Kultur och samhälle , 2019. , p. 42
Keywords [en]
Post-truth Politics, Learning, Post-Structuralism, Climate Change Denialism, Anti-elitism, Discourse
National Category
Social Sciences
Identifiers
URN: urn:nbn:se:mau:diva-22067Local ID: 29108OAI: oai:DiVA.org:mau-22067DiVA, id: diva2:1481987
Educational program
KS GPS International Relations
Supervisors
Examiners
Available from: 2020-10-27 Created: 2020-10-27Bibliographically approved

Open Access in DiVA

No full text in DiVA

By organisation
Faculty of Culture and Society (KS)
Social Sciences

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 112 hits
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