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

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Chinese Lexical Semantics (CLSW 2022)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13496))

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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

  1. 1.

    https://www.youtube.com/c/日更頻道PLUS/videos.

  2. 2.

    https://github.com/fxsjy/jieba.

References

  1. Lei, S., Yang, R., Huang, C.-R.: Emergent neologism: a study of an emerging meaning with competing forms based on the first six months of COVID-19. Lingua 258, 103095 (2021). https://doi.org/10.1016/j.lingua.2021.103095

    Article  Google Scholar 

  2. Wang, X., Ahrens, K., Huang, C.-R.: The distance between illocution and perlocution: a tale of different pragmemes to call for social distancing in two cities. Intercult. Pragmat. 19(1), 1–33 (2022). https://doi.org/10.1515/ip-2022-0001

    Article  Google Scholar 

  3. Wang, X., Huang, C.-R.: From contact prevention to social distancing: the co-evolution of bilingual neologisms and public health campaigns in two cities in the time of COVID-19. SAGE Open 11(3), 1–17 (2021). https://doi.org/10.1177/21582440211031556

    Article  Google Scholar 

  4. Chen, X., Wang, V.X., Huang, C.-R.: Themes and sentiments of online comments under COVID-19: a case study of Macau. In: Dong, M., Yanhui, G., Hong, J.-F. (eds.) Chinese Lexical Semantics: 22nd Workshop, CLSW 2021, Nanjing, China, May 15–16, 2021, Revised Selected Papers, Part I, pp. 494–503. Springer International Publishing, Cham (2022). https://doi.org/10.1007/978-3-031-06703-7_39

    Chapter  Google Scholar 

  5. Gu, J., et al.: Multi-probe attention neural network for COVID-19 semantic indexing. BMC Bioinform. 23(1), 259 (2022). https://doi.org/10.1186/s12859-022-04803-x

    Article  MathSciNet  Google Scholar 

  6. Wan, M., Su, Q., Xiang, R., Huang, C.-R.: Data-driven analytics of COVID-19 “infodemic.” Int. J. Data Sci. Anal. (2022). https://doi.org/10.1007/s41060-022-00339-8

    Article  Google Scholar 

  7. Wang, V.X., Chen, X., Quan, S., Huang, C.-R.: A parallel corpus-driven approach to bilingual oenology term banks: how culture differences influence wine tasting terms. In: 34th Pacific Asia Conference on Language, Information and Computation, pp. 318–328. Association for Computational Linguistics (2020)

    Google Scholar 

  8. Wang, V.X., Lim, L., Li, D. (eds.): New Perspectives on Corpus Translation Studies, Springer, Singapore (2021). https://doi.org/10.1007/978-981-16-4918-9

  9. Wang, X., et al.: From complex emotion words to insomnia and mental health: a corpus-based analysis of the online psychological consultation discourse about insomnia problems in Chinese. In: Dong, M., Gu, Y., Hong, J.-F. (eds.) Chinese Lexical Semantics: 22nd Workshop, CLSW 2021, Nanjing, China, May 15–16, 2021, Revised Selected Papers, Part II, pp. 221–232. Springer International Publishing, Cham (2022). https://doi.org/10.1007/978-3-031-06547-7_18

    Chapter  Google Scholar 

  10. Chen, X., Wang, V.X., Huang, C.-R.: Sketching the English translations of Kumārajīva’s The Diamond Sutra: a comparison of individual translators and translation teams. In: 34th Pacific Asia Conference on Language, Information and Computation, pp. 30–41. Association for Computational Linguistics (2020)

    Google Scholar 

  11. Li, L., Huang, C.-R., Wang, V.X.: Lexical competition and change: a corpus-assisted investigation of gambling and gaming in the past centuries. SAGE Open 10(3), 1–14 (2020). https://doi.org/10.1177/2158244020951272

    Article  Google Scholar 

  12. Li, L., Wang, V.X., Huang, C.-R.: Social changes manifested in the diachronic changes of reform-related Chinese near synonyms. In: Dong, M., Gu, Y., Hong, J.-F. (eds.) Chinese Lexical Semantics: 22nd Workshop, CLSW 2021, Nanjing, China, May 15–16, 2021, Revised Selected Papers, Part II, pp. 184–193. Springer International Publishing, Cham (2022). https://doi.org/10.1007/978-3-031-06547-7_15

    Chapter  Google Scholar 

  13. Faasse, K., Chatman, C.J., Martin, L.R.: A comparison of language use in pro- and anti-vaccination comments in response to a high profile Facebook post. Vaccine 34(47), 5808–5814 (2016). https://doi.org/10.1016/j.vaccine.2016.09.029

    Article  Google Scholar 

  14. Puri, N., Coomes, E.A., Haghbayan, H., Gunaratne, K.: Social media and vaccine hesitancy: new updates for the era of COVID-19 and globalized infectious diseases. Hum. Vaccin. Immunother 16(11), 2586–2593 (2020). https://doi.org/10.1080/21645515.2020.1780846

    Article  Google Scholar 

  15. Wilson, S.L., Wiysonge, C.: Social media and vaccine hesitancy. BMJ Glob. Health 5, e004206 (2020). https://doi.org/10.1136/bmjgh-2020-004206

    Article  Google Scholar 

  16. Brailovskaia, J., Miragall, M., Margraf, J., Herrero, R., Baños, R.M.: The relationship between social media use, anxiety and burden caused by coronavirus (COVID-19) in Spain. Curr. Psychol. 41, 7441–7447 (2021). https://doi.org/10.1007/s12144-021-01802-8

    Article  Google Scholar 

  17. Schoultz, M., et al.: Mental health, information and being connected: qualitative experiences of social media use during the COVID-19 pandemic from a trans-national sample. Healthcare 9(6), 735 (2021). https://doi.org/10.3390/healthcare9060735

    Article  Google Scholar 

  18. Shi, W., et al.: Online public opinion during the first epidemic wave of COVID-19 in China based on Weibo data. Hum. Soc. Sci. Commun. 9, 159 (2022). https://doi.org/10.1057/s41599-022-01181-w

    Article  Google Scholar 

  19. Wicke, P., Bolognesi, M.M.: Framing COVID-19: how we conceptualize and discuss the pandemic on Twitter. PLoS ONE 15(9), e0240010 (2020). https://doi.org/10.1371/journal.pone.0240010

    Article  Google Scholar 

  20. Brezina, V., Weill-Tessier, P., McEnery, A.: #LancsBox v. 6.0. [software] (2021). http://corpora.lancs.ac.uk/lancsbox

  21. Brezina, V.: Collocation graphs and networks: selected applications. In: Cantos-Gómez, P., Almela-Sánchez, M. (eds.) Lexical Collocation Analysis. QMHSS, pp. 59–83. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-92582-0_4

    Chapter  Google Scholar 

  22. Meyerowitz, B.E., Chaiken, S.: The effect of message framing on breast self-examination attitudes, intentions, and behavior. J. Pers. Soc. Psychol. 52(3), 500–510 (1987). https://doi.org/10.1037/0022-3514.52.3.500

    Article  Google Scholar 

  23. Tversky, A., Kahneman, D.: The framing of decisions and the psychology of choice. Science 211(4481), 453–458 (1981). https://doi.org/10.1126/science.7455683

    Article  MathSciNet  MATH  Google Scholar 

  24. Rothman, A.J., Salovey, P.: Shaping perceptions to motivate healthy behavior: the role of message framing. Psychol. Bull. 121(1), 3–19 (1997). https://doi.org/10.1037/0033-2909.121.1.3

    Article  Google Scholar 

  25. Gantiva, C., Jiménez-Leal, W., Urriago-Rayo, J.: Framing messages to deal with the COVID-19 crisis: the role of loss/gain frames and content. Front. Psychol. 12, 568212 (2021). https://doi.org/10.3389/fpsyg.2021.568212

    Article  Google Scholar 

  26. Jiang, M., Dodoo, N.A.: Promoting mask-wearing in COVID-19 brand communications: effects of gain-loss frames, self- or other-interest appeals, and perceived risks. J. Advert. 50(3), 271–279 (2021). https://doi.org/10.1080/00913367.2021.1925605

    Article  Google Scholar 

  27. Bavel, J.J.V., et al.: Using social and behavioural science to support COVID-19 pandemic response. Nat. Hum. Behav. 4, 460–471 (2020). https://doi.org/10.1038/s41562-020-0884-z

    Article  Google Scholar 

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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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Authors and Affiliations

  1. Department of English, University of Macau, Macau, China

    Xi Chen & Vincent Xian Wang

  2. Department of Chinese and Bilingual Studies, The Hong Kong Polytechnic University, Hong Kong, China

    Chu-Ren Huang

  3. The Hong Kong Polytechnic University-Peking University Research Centre on Chinese Linguistics, The Hong Kong Polytechnic University, Hong Kong, China

    Chu-Ren Huang

Authors
  1. Xi Chen
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  2. Vincent Xian Wang
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Corresponding author

Correspondence to Vincent Xian Wang .

Editor information

Editors and Affiliations

  1. Peking University, Beijing, China

    Qi Su

  2. Minjiang University, Fuzhou, China

    Ge Xu

  3. Minjiang University, Fuzhou, China

    Xiaoyan Yang

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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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  • DOI: https://doi.org/10.1007/978-3-031-28956-9_13

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-031-28956-9

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