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How Do People React to COVID-19 Vaccination? A Corpus-Based Study of Macau Netizens’ Online Comments
Chen,Xi1; Wang,Vincent Xian1; Huang,Chu Ren2,3
2023-04
Conference Name23rd Chinese Lexical Semantics Workshop, CLSW 2022
Source PublicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13496 LNAI
Pages158-169
Conference Date2022-05-14 to 2022-05-15
Conference PlaceVirtual, Online
Publication PlaceCham
PublisherSpringer Science and Business Media Deutschland GmbH
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.

KeywordCorpus Linguistics Covid-19 Macau Prospect Theory Vaccination
DOI10.1007/978-3-031-28956-9_13
URLView the original
Indexed ByEI
Language英語English
Scopus ID2-s2.0-85159498328
Fulltext Access
Citation statistics
Document TypeConference paper
CollectionDEPARTMENT OF ENGLISH
Corresponding AuthorWang,Vincent Xian
Affiliation1.Department of English,University of Macau,Macao
2.Department of Chinese and Bilingual Studies,The Hong Kong Polytechnic University,Hong Kong
3.The Hong Kong Polytechnic University-Peking University Research Centre on Chinese Linguistics,The Hong Kong Polytechnic University,Hong Kong
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Chen,Xi,Wang,Vincent Xian,Huang,Chu Ren. How Do People React to COVID-19 Vaccination? A Corpus-Based Study of Macau Netizens’ Online Comments[C], Cham:Springer Science and Business Media Deutschland GmbH, 2023, 158-169.
APA Chen,Xi., Wang,Vincent Xian., & Huang,Chu Ren (2023). How Do People React to COVID-19 Vaccination? A Corpus-Based Study of Macau Netizens’ Online Comments. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13496 LNAI, 158-169.
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