How was the coronavirus vaccine accepted on Twitter? A computational analysis using big data in Japan
How was the coronavirus vaccine accepted on Twitter? A computational analysis using big data in Japan
复制标题
推特上如何接受冠状病毒疫苗?
DOI:
10.1108/gkmc-07-2022-0163
复制
发表时间:
2023
期刊:
影响因子:
--
通讯作者:
Yamaguchi Shinichi
中科院分区:
文献类型:
--
作者:
Tanihara Tsukasa;Yamaguchi Shinichi
PurposeThis study aims to reveal how the COVID-19 vaccine was accepted in the Japanese Twitter-sphere. This study explores how the topics related to the vaccine promotion project changed on Twitter and how the topics that were likely to spread changed during the vaccine promotion project.Design/methodology/approachThe computational social science methodology was adopted. This study collected all tweets containing the word “vaccine” using the Twitter API from March to October 2021 and conducted the following analysis: analyzing frequent words and identifying topics likely to spread through the cosine similarity and Tobit model.FindingsFirst, vaccine hesitancy–related words were frequently mentioned during the vaccine introduction and dissemination periods and had diffusing power only during the former period. Second, vaccine administration–related words were frequently mentioned and diffused through April to May and had diffusing power throughout the period. The background to these findings is that the sentiment of longing for vaccines outweighed that of hesitancy toward vaccines during this period.Originality/valueThis study finds that the timing of the rise in vaccine hesitation sentiment and the timing of the start of vaccine supply were misaligned. This is one of the reasons that Japan, which originally exhibited strong vaccine hesitancy, did not face vaccine hesitancy in the COVID-19 vaccine promotion project.
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DOI:
10.1108/gkmc-05-2021-0080
发表时间:
2021
期刊:
影响因子:
--
作者:
M. R. Mahmud;R. Reza;Soltan Ahmed
通讯作者:
Soltan Ahmed
影响因子:
3
作者:
R. Alhaimer
通讯作者:
R. Alhaimer
影响因子:
3.9
作者:
Friemel, Thomas N.;Geber, Sarah
通讯作者:
Geber, Sarah
DOI:
--
发表时间:
2021
期刊:
影响因子:
--
作者:
Haider Ilyas;A. Anwar;Ussama Yaqub;Zamil S. Alzamil;Deniz Appelbaum
通讯作者:
Deniz Appelbaum
影响因子:
5.2
作者:
Dag Wollebæk;Rune Karlsen;Kari Steen;B. Enjolras
通讯作者:
B. Enjolras