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

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.

A primer on open-source, experimental social media simulation software: Opportunities for misinformation research and beyond.

Social media simulation software (SMSS) allows researchers to collect behavioural data on how participants to engage with researcher-specified social media content using natural, interactive social media user interfaces. A notable subset of SMSS allow for experimental observation of how people engage with different types of content or user interfaces. Providing an avenue for collecting causal evidence on how algorithmic recommendation systems and design affordances of social media platforms impact behaviour; particularly online harms like misinformation. This article reviews key similarities and differences between three notable SMSS (The (Mis)information Game, the Mock Social Media Website Tool, and the Truman Platform), provides recommendations for use, and perspectives on the future of SMSS.