Evolution of Public Opinion on COVID-19 Vaccination in Japan: Large-Scale Twitter Data Analysis.

Kobayashi, Ryota; Takedomi, Yuka; Nakayama, Yuri; Suda, Towa; Uno, Takeaki; Hashimoto, Takako; Toyoda, Masashi; Yoshinaga, Naoki; Kitsuregawa, Masaru; Rocha, Luis E C

Kobayashi, Ryota; Takedomi, Yuka; Nakayama, Yuri; Suda, Towa; Uno, Takeaki; Hashimoto, Takako; Toyoda, Masashi; Yoshinaga, Naoki; Kitsuregawa, Masaru; Rocha, Luis E C.

Affiliation

Kobayashi R; Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Japan.
Takedomi Y; Mathematics and Informatics Center, The University of Tokyo, Tokyo, Japan.
Nakayama Y; PRESTO, Japan Science and Technology Agency, Kawaguchi, Japan.
Suda T; Principles of Informatics Research Division, National Institute of Informatics, Tokyo, Japan.
Uno T; Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Japan.
Hashimoto T; Principles of Informatics Research Division, National Institute of Informatics, Tokyo, Japan.
Toyoda M; Principles of Informatics Research Division, National Institute of Informatics, Tokyo, Japan.
Yoshinaga N; Faculty of Commerce and Economics, Chiba University of Commerce, Ichikawa, Japan.
Kitsuregawa M; Institute of Industrial Science, The University of Tokyo, Tokyo, Japan.
Rocha LEC; Institute of Industrial Science, The University of Tokyo, Tokyo, Japan.

J Med Internet Res ; 24(12): e41928, 2022 12 22.

Article in En | MEDLINE | ID: mdl-36343186

Subject(s)
Key words

COVID-19; Twitter; interrupted time series regression; longitudinal study; public opinion; social events; topic dynamics; topic modeling; vaccination; vaccine

Fulltext

Add to My VHL

XML

PubMed Links

Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Social Media / COVID-19 Limits: Humans Country/Region as subject: Asia Language: En Journal: J Med Internet Res Journal subject: INFORMATICA MEDICA Year: 2022 Document type: Article Affiliation country:

Fulltext

Add to My VHL

XML

PubMed Links

Search on Google