How Do People React to COVID-19 Vaccination? A Corpus-Based Study of Macau Netizens’ Online Comments

Xi Chen, Vincent Xian Wang, Chu Ren Huang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

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.

Original languageEnglish
Title of host publicationChinese Lexical Semantics
Subtitle of host publication23rd Workshop, CLSW 2022, Virtual Event, May 14–15, 2022, Revised Selected Papers, Part II
EditorsQi Su, Ge Xu, Xiaoyan Yang
PublisherSpringer Science and Business Media Deutschland GmbH
Pages158-169
Number of pages12
ISBN (Electronic)9783031289569
ISBN (Print)9783031289552
DOIs
Publication statusPublished - 8 Apr 2023
Event23rd Chinese Lexical Semantics Workshop, CLSW 2022 - Virtual, Online
Duration: 14 May 202215 May 2022

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13496 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference23rd Chinese Lexical Semantics Workshop, CLSW 2022
CityVirtual, Online
Period14/05/2215/05/22

Keywords

  • Corpus linguistics
  • COVID-19
  • Macau
  • Prospect Theory
  • Vaccination

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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