Canadian politicians' rhetoric on Twitter/X: analysing prejudice and inclusion towards Muslims using structural topic modelling and rhetorical analysis

John Shayegh*, David Sumantry, Arvin Jagayat, Becky Choma

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)
33 Downloads (Pure)

Abstract

We analysed tweets from five English-speaking Canadian political parties in the year leading up to the 2019 federal election to explore both prejudicial and inclusive rhetoric in relation to Muslim identities on social media. We used structural topic modelling to understand what topics were discussed before moving to a rhetorical approach to analyse how topics were discussed. We identified 10 topics. Seven talked about Muslim groups in primarily inclusive ways, including depicting the positive contributions to Canadian society, creating ideological space for Muslim religious practices and invoking superordinate identities with victims of hate crimes to cultivate solidarity. However, the effectiveness of inclusive rhetoric was sometimes questioned due to omitting the subgroup-specific prejudice faced by Muslims. Prejudicial rhetoric occurred in three of the topics due to the nativist populist PPC party depicting Muslims as a threat to Canadian values, as hostile to people from other religious faiths, and depicting ‘elites’ in society as concealing the ‘true’ information concerning Muslims. The study contributes to understanding how politicians attempt to cultivate minority inclusion/exclusion in multicultural contexts through social media, as well as understanding the rhetoric of nativist populism in Canada and its similarities to other Global North contexts.

Original languageEnglish
Pages (from-to)857-878
Number of pages22
JournalBritish Journal of Social Psychology
Volume63
Issue number2
Early online date07 Dec 2023
DOIs
Publication statusPublished - Apr 2024

Keywords

  • prejudice
  • political rhetoric
  • social media
  • inclusion
  • Muslim identity

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