Abstract
This study draws on corpus methodology to investigate people’s reactions to COVID-19 vaccination using the data of Macau netizens’ comments on a YouTube channel. Four main topics under discussion were identified based on the word lists. Meanwhile, people were concerned about the activity of vaccines and were also engaged in heated debates on both domestic and foreign vaccines according to the collocation of “疫苗” yìmiáo (vaccine). The discussion topics and concerns varied along with time, evidenced by the results of word lists and collocates of each month. It is also noticeable that some misinformation on vaccines burgeoned and faded before and after the mass vaccination of Macau residents. The supportive voices for the (Chinese) vaccines were building up their momentum over time. This phenomenon lends support to the effective persuasion of gain-framed messages in advocating safe behaviour based on Prospect Theory. Our research has revealed that the corpus-based study of online comments can be leveraged to uncover people’s social behaviour in the pandemic context.
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Notes
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https://www.youtube.com/c/日更頻道PLUS/videos.
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Acknowledgements
The authors are thankful to the two anonymous reviewers of this paper. The authors would like to acknowledge the Higher Education Fund of the Macao SAR Government for financially supporting the FES project “HOPE and PAIN in the Time of a Pandemic: A corpus-based study of metaphor and synaesthesia in Macau”– reference no. HSS-UMAC-2020-10”.
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Chen, X., Wang, V.X., Huang, CR. (2023). How Do People React to COVID-19 Vaccination? A Corpus-Based Study of Macau Netizens’ Online Comments. In: Su, Q., Xu, G., Yang, X. (eds) Chinese Lexical Semantics. CLSW 2022. Lecture Notes in Computer Science(), vol 13496. Springer, Cham. https://doi.org/10.1007/978-3-031-28956-9_13
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