PUBLIC PERCEPTIONS ON TWITTER ABOUT COVID-19 VACCINES IN THAILAND

被引:0
作者
Chitphuk, Sermsiri [1 ]
Stitchantraku, Wasana [1 ]
Ongphiphadhanakul, Boonsong [2 ]
Kueanjinda, Patipark [3 ]
Lerksuthirat, Tassanee [1 ]
机构
[1] Mahidol Univ, Res Ctr, Fac Med, Ramathibodi Hosp, Bangkok 10400, Thailand
[2] Mahidol Univ, Dept Med, Fac Med, Ramathibodi Hosp, Bangkok, Thailand
[3] Chulalongkorn Univ, Dept Microbiol, Fac Med, Bangkok, Thailand
关键词
COVID-19; vaccines; Twitter; sentiment analysis; vaccine hesitancy; social media; TRANSLATION;
D O I
暂无
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Twitter is a social media platform in which users express and discuss their opinions regarding public issues, such as COVID-19 vaccination. In this study, we aimed to determine the factors influencing public perceptions regarding COVID-1 9 vaccination using Twitter in order to inform efforts to improve vaccination rates. We collected tweets mentioning COVID vaccination in the Thai language during 13 January 2020 -15 June 2021. The tweets were translated into English and the content of the tweets were determined and the number of tweets and likes were recorded. The sentiment of each tweet was classified into three categories: positive, negative and neutral, and the tweet trends were evaluated for the 7-day period before and 7-day period after selected vaccination campaign events. A total of 31,043 tweets were included in the analysis. Sentiment distribution analysis revealed the Thai Prime Minister's vaccination (p = 0.0007) and a COVID-19 vaccine promotion campaign in the online media by medical experts (p < 0.0001) significantly increased positive sentiment after those events. The day a Thai social media influencer received a COVID-1 9 vaccine resulted in the greatest number of tweets regarding COVID-1 9 vaccination (n =2,186) and resulted in a significant increase in positive sentiment regarding COVID-1 9 vaccination (p = 0.0280). In summary, public figure vaccination or promotion of COVID-19 vaccination significantly increased positive sentiment regarding COVID-19 vaccination. We conclude that public figures or medical professionals can improve public sentiment regarding vaccination and should be encouraged to support vaccination campaigns. Further studies are needed to determine if this increase in positive public sentiment will result in increased vaccination uptake.
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页码:397 / 408
页数:12
相关论文
共 35 条
[1]   Comparative experiments using supervised learning and machine translation for multilingual sentiment analysis [J].
Balahur, Alexandra ;
Turchi, Marco .
COMPUTER SPEECH AND LANGUAGE, 2014, 28 (01) :56-75
[2]  
Barriere V., 2020, Proceedings of the 28th International Conference on Computational Linguistics, P266, DOI DOI 10.18653/V1/2020.COLING-MAIN.23
[3]  
Boon-Itt S, 2020, JMIR PUBLIC HLTH SUR, V6, P245, DOI 10.2196/21978
[4]   The first 12 months of COVID-19: a timeline of immunological insights [J].
Carvalho, Thiago ;
Krammer, Florian ;
Iwasaki, Akiko .
NATURE REVIEWS IMMUNOLOGY, 2021, 21 (04) :245-256
[5]  
FDA Office of the Commissioner, 2021, FDA APPR 1 COVID 19
[6]  
Gallup, 2019, WELLCOME GLOBAL MONI
[7]   Matplotlib: A 2D graphics environment [J].
Hunter, John D. .
COMPUTING IN SCIENCE & ENGINEERING, 2007, 9 (03) :90-95
[8]   Artificial Intelligence-Enabled Analysis of Public Attitudes on Facebook and Twitter Toward COVID-19 Vaccines in the United Kingdom and the United States: Observational Study [J].
Hussain, Amir ;
Tahir, Ahsen ;
Hussain, Zain ;
Sheikh, Zakariya ;
Gogate, Mandar ;
Dashtipour, Kia ;
Ali, Azhar ;
Sheikh, Aziz .
JOURNAL OF MEDICAL INTERNET RESEARCH, 2021, 23 (04)
[9]  
Idrus PG, 2021, SE ASIAN NATIONS RAC
[10]   Tracking Public Attitudes Toward COVID-19 Vaccination on Tweets in Canada: Using Aspect-Based Sentiment Analysis [J].
Jang, Hyeju ;
Rempel, Emily ;
Roe, Ian ;
Adu, Prince ;
Carenini, Giuseppe ;
Janjua, Naveed Zafar .
JOURNAL OF MEDICAL INTERNET RESEARCH, 2022, 24 (03)