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

Theme Issue: Medical Informatics and COVID-19 (98) JMIR Theme Issue: COVID-19 Special Issue (2087) Infodemiology and Infoveillance (1003) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (820) Mass Media/Social Media Communication and Campaigns (401) Vaccination and Immunization in the Digital Age (263) COVID-19 Vaccination (96)

Published on in Vol 9 , No 3 (2021) :March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22916, first published .
Systematic Delineation of Media Polarity on COVID-19 Vaccines in Africa: Computational Linguistic Modeling Study

Systematic Delineation of Media Polarity on COVID-19 Vaccines in Africa: Computational Linguistic Modeling Study

Systematic Delineation of Media Polarity on COVID-19 Vaccines in Africa: Computational Linguistic Modeling Study

Authors of this article:

Sefater Gbashi 1 Author Orcid Image ;   Oluwafemi Ayodeji Adebo 1 Author Orcid Image ;   Wesley Doorsamy 2 Author Orcid Image ;   Patrick Berka Njobeh 1 Author Orcid Image
Article Authors Cited by (2) Tweetations (5) Metrics

Journals

  1. Hu T, Wang S, Luo W, Zhang M, Huang X, Yan Y, Liu R, Ly K, Kacker V, She B, Li Z. Revealing public opinion towards COVID-19 vaccines with Twitter data in the United States: a spatiotemporal perspective (Preprint). Journal of Medical Internet Research 2021 View
  2. Melton C, Olusanya O, Ammar N, Shaban-Nejad A. Public Sentiment and Topic Modeling Regarding COVID-19 Vaccines on Reddit Social Media Platform: A Call to Action For Strengthening Vaccine Confidence. Journal of Infection and Public Health 2021 View