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

JMIR Theme Issue: COVID-19 Special Issue (2452) Infodemiology and Infoveillance (1349) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Early Results from COVID-19 Studies (299) Outbreak and Pandemic Preparedness and Management (1727) Vaccination and Immunization in the Digital Age (374) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Discourse (38)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45069, first published .
Topics in Antivax and Provax Discourse: Yearlong Synoptic Study of COVID-19 Vaccine Tweets

Topics in Antivax and Provax Discourse: Yearlong Synoptic Study of COVID-19 Vaccine Tweets

Topics in Antivax and Provax Discourse: Yearlong Synoptic Study of COVID-19 Vaccine Tweets

Authors of this article:

Zainab Zaidi1 Author Orcid Image ;   Mengbin Ye2 Author Orcid Image ;   Fergus Samon1 Author Orcid Image ;   Abdisalan Jama1 Author Orcid Image ;   Binduja Gopalakrishnan1 Author Orcid Image ;   Chenhao Gu1 Author Orcid Image ;   Shanika Karunasekera1 Author Orcid Image ;   Jamie Evans1 Author Orcid Image ;   Yoshihisa Kashima1 Author Orcid Image
Article Authors Cited by (5) Tweetations (90) Metrics

Journals

  1. Zhou X, Song S, Zhang Y, Hou Z. Deep Learning Analysis of COVID-19 Vaccine Hesitancy and Confidence Expressed on Twitter in 6 High-Income Countries: Longitudinal Observational Study. Journal of Medical Internet Research 2023;25:e49753 View
  2. Bergenfeld I. What can public health communicators learn from Reddit? A perspective for the next pandemic. Frontiers in Public Health 2024;12 View
  3. Lee Y, Alostad H, Davulcu H. Quantifying Variations in Controversial Discussions within Kuwaiti Social Networks. Big Data and Cognitive Computing 2024;8(6):60 View

Books/Policy Documents

  1. Breeze R. Reference Module in Social Sciences. View