This paper is in the following e-collection/theme issue:

Vaccination Sentiment and Anti-Vaccination Infodemiology (58) JMIR Theme Issue: COVID-19 Special Issue (2453) Infodemiology and Infoveillance (1350) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1042) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1518) Vaccination and Immunization in the Digital Age (374) Infodemic Management (49) Infoveillance and Social Listening (209)

Published on in Vol 2, No 1 (2022): Jan-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32335, first published .
Public Opinion and Sentiment Before and at the Beginning of COVID-19 Vaccinations in Japan: Twitter Analysis

Public Opinion and Sentiment Before and at the Beginning of COVID-19 Vaccinations in Japan: Twitter Analysis

Public Opinion and Sentiment Before and at the Beginning of COVID-19 Vaccinations in Japan: Twitter Analysis

Authors of this article:

Qian Niu1 Author Orcid Image ;   Junyu Liu2 Author Orcid Image ;   Masaya Kato1 Author Orcid Image ;   Yuki Shinohara1 Author Orcid Image ;   Natsuki Matsumura1 Author Orcid Image ;   Tomoki Aoyama1 Author Orcid Image ;   Momoko Nagai-Tanima1 Author Orcid Image
Article Authors Cited by (21) Tweetations (15) Metrics

Journals

  1. Niu Q, Liu J, Kato M, Nagai-Tanima M, Aoyama T. The Effect of Fear of Infection and Sufficient Vaccine Reservation Information on Rapid COVID-19 Vaccination in Japan: Evidence From a Retrospective Twitter Analysis. Journal of Medical Internet Research 2022;24(6):e37466 View
  2. Hong Y, Xie F, An X, Lan X, Liu C, Yan L, Zhang H. Evolution of Public Attitudes and Opinions Regarding COVID-19 Vaccination During the Vaccine Campaign in China: Year-Long Infodemiology Study of Weibo Posts. Journal of Medical Internet Research 2023;25:e42671 View
  3. Aljedaani W, Saad E, Rustam F, de la Torre Díez I, Ashraf I. Role of Artificial Intelligence for Analysis of COVID-19 Vaccination-Related Tweets: Opportunities, Challenges, and Future Trends. Mathematics 2022;10(17):3199 View
  4. Zang S, Zhang X, Xing Y, Chen J, Lin L, Hou Z. Applications of Social Media and Digital Technologies in COVID-19 Vaccination: Scoping Review. Journal of Medical Internet Research 2023;25:e40057 View
  5. Boender T, Schneider P, Houareau C, Wehrli S, Purnat T, Ishizumi A, Wilhelm E, Voegeli C, Wieler L, Leuker C. Establishing Infodemic Management in Germany: A Framework for Social Listening and Integrated Analysis to Report Infodemic Insights at the National Public Health Institute. JMIR Infodemiology 2023;3:e43646 View
  6. Nash C. Extraversion in COVID-19 Coping and Actionable Insights from Considering Self-Directed Learning. COVID 2023;3(6):831 View
  7. Zaidi Z, Ye M, Samon F, Jama A, Gopalakrishnan B, Gu C, Karunasekera S, Evans J, Kashima Y. Topics in Antivax and Provax Discourse: Yearlong Synoptic Study of COVID-19 Vaccine Tweets. Journal of Medical Internet Research 2023;25:e45069 View
  8. Machado Júnior C, Mantovani D, de Sandes-Guimarães L, Romeiro M, Furlaneto C, Bazanini R. Volatility of the COVID-19 vaccine hesitancy: sentiment analysis conducted in Brazil. Frontiers in Public Health 2023;11 View
  9. Hirabayashi M, Shibata D, Shinohara E, Kawazoe Y. Influence of Tweets Indicating False Rumors on COVID-19 Vaccination: Case Study. JMIR Formative Research 2023;7:e45867 View
  10. Küçük D, Arıcı N. Deep Learning-Based Sentiment and Stance Analysis of Tweets About Vaccination. International Journal on Semantic Web and Information Systems 2023;19(1):1 View
  11. Doğan B, Balcioglu Y, Elçi M. Multidimensional sentiment analysis method on social media data: comparison of emotions during and after the COVID-19 pandemic. Kybernetes 2024 View
  12. Ueda R, Han F, Zhang H, Aoki T, Ogasawara K. Verification in the Early Stages of the COVID-19 Pandemic: Sentiment Analysis of Japanese Twitter Users. JMIR Infodemiology 2024;4:e37881 View
  13. Kim M, Lovett J, Doshi A, Prabhu V. Immediate Access to Radiology Reports: Perspectives on X Before and After the Cures Act Information Blocking Provision. Journal of the American College of Radiology 2024;21(7):1130 View
  14. Mehra V, Singh P, Bharany S, Sawhney R. Sports, crisis, and social media: a Twitter-based exploration of the Tokyo Olympics in the COVID-19 era. Social Network Analysis and Mining 2024;14(1) View
  15. Mariscal-de-Gante Á. La frontera de Europa en África: reacciones sociales online ante la crisis migratoria de Ceuta en cinco idiomas europeos. Migraciones. Publicación del Instituto Universitario de Estudios sobre Migraciones 2024;(60):1 View
  16. Kobra K, Sammi S, Rahman N, Khushbu S, Islam M, Vargas-Rodriguez E. Multihead Text Mining from COVID‐19 Feedback Using Machine Learning, Deep Learning, and Hybrid Deep Learning Approaches. Journal of Sensors 2024;2024(1) View
  17. Takedomi Y, Nakayama Y, Suda T, Uno T, Hashimoto T, Toyoda M, Yoshinaga N, Kitsuregawa M, Kobayashi R. Evolution of COVID-19 Vaccination-related Topics on Twitter. Transactions of the Japanese Society for Artificial Intelligence 2024;39(5):C-N93_1 View
  18. Jerfy A, Selden O, Balkrishnan R. The Growing Impact of Natural Language Processing in Healthcare and Public Health. INQUIRY: The Journal of Health Care Organization, Provision, and Financing 2024;61 View
  19. Kuroda M, Ahmed M, Kuroda K, Lane S. Understanding COVID-19 Vaccine Hesitancy among the General Population in Japan from Public Health Ethical Perspectives: Findings from a Narrative Review. Asian Bioethics Review 2024 View

Books/Policy Documents

  1. Nimanthika S, Kuhaneswaran B, Wijeratne A, Kumara S. Handbook of Research on Advancements of Contactless Technology and Service Innovation in Library and Information Science. View
  2. Tariq M. Social Innovations in Education, Environment, and Healthcare. View