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

Vaccination Sentiment and Anti-Vaccination Infodemiology (58) JMIR Theme Issue: COVID-19 Special Issue (2452) Misinformation and Disinformation Outbreaks and Information Prevalence Studies (44)

Published on in Vol 2, No 2 (2022): Jul-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38485, first published .
Negative COVID-19 Vaccine Information on Twitter: Content Analysis

Negative COVID-19 Vaccine Information on Twitter: Content Analysis

Negative COVID-19 Vaccine Information on Twitter: Content Analysis

Authors of this article:

Niko Yiannakoulias1 Author Orcid Image ;   J Connor Darlington2 Author Orcid Image ;   Catherine E Slavik3 Author Orcid Image ;   Grant Benjamin4 Author Orcid Image
Article Authors Cited by (5) Tweetations (4) Metrics

Journals

  1. To Q, To K, Huynh V, Nguyen N, Ngo D, Alley S, Tran A, Tran A, Pham N, Bui T, Vandelanotte C. Anti-vaccination attitude trends during the COVID-19 pandemic: A machine learning-based analysis of tweets. DIGITAL HEALTH 2023;9 View
  2. Slavik C, Yiannakoulias N, Buttle C, Darlington J. ‘Vaccinfluencers’: a study of influential voices criticizing COVID-19 vaccination efforts and negative vaccine information discourse on Twitter. The Communication Review 2023;26(3):300 View
  3. 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
  4. Li G, Zhang R, Song B, Wang C, Shen Q, He X, Cao Y. Effects of SARS-CoV-2 Vaccines on Sperm Quality: Systematic Review. JMIR Public Health and Surveillance 2023;9:e48511 View
  5. Lu F, Tu C. The Impact of Comment Slant and Comment Tone on Digital Health Communication Among Polarized Publics: A Web-Based Survey Experiment. Journal of Medical Internet Research 2024;26:e57967 View