Fig 1.
Conceptual model of the proposed research.
Fig 2.
Data filtering and preprocessing workflow.
Fig 3.
The data analysis process.
Fig 4.
The overall sentiment analysis process.
Table 1.
The final categories of sentiments, their definition, and examples of tweets for each category.
Fig 5.
The ratio of interest [the ratio of the number of interactions to the number of tweets] towards the COVID-related tweets by Canadian officials x number of COVID-19 confirmed cases in Canada from December 31, 2019, to August 31, 2020.
Table 2.
Descriptive data showing the number of tweets, retweets, likes, and the ratio of interest related to COVID-related tweets by Canadian government and public health officials from December 31, 2019, to August 31, 2020.
Table 3.
COVID-19 hashtag trends per month used by the Canadian government and health officials’ accounts from December 31, 2019, to August 31, 2020, demonstrating the topic shift.
Table 4.
The proportions of expressed sentiments per month towards the government and health officials’ accounts from December 31, 2019, to August 31, 2020.