Al-Rawi, Ahmed2023-01-272023-01-272022-05http://hdl.handle.net/10315/40845In this study, I empirically explore the public discourses around the pandemic by far-fight Canadians. I collected 134,739 tweets in September and October 2021 just a few months before the Truckers’ protest in Ottawa. These tweets were posted by 14 Canadian far-right sympathizers or supporters, representing all the available tweets (Table 1). Then, I used a Python program to search for words like “*virus*”, “covid*”, “corona*”, and extracted 2,555 tweets. Next, I automatedly analyzed the tweets based on topic modelling, which is a machine learning method (Table 2).enRaceCOVID-19Social mediaPandemicTwitterConference Paper