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

Theme Issue: Medical Informatics and COVID-19 (107) JMIR Theme Issue: COVID-19 Special Issue (2452) Infodemiology and Infoveillance (1349) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Mass Media/Social Media Communication and Campaigns (461) Vaccination and Immunization in the Digital Age (374) COVID-19 Vaccination (146) Linguistics, Comprehension, and Learning (52)

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 Gbashi1 Author Orcid Image ;   Oluwafemi Ayodeji Adebo1 Author Orcid Image ;   Wesley Doorsamy2 Author Orcid Image ;   Patrick Berka Njobeh1 Author Orcid Image
Article Authors Cited by (14) Tweetations (5) Metrics

Sefater Gbashi   1 * , PhD ;   Oluwafemi Ayodeji Adebo   1 * , PhD ;   Wesley Doorsamy   2 * , PhD ;   Patrick Berka Njobeh   1 * , PhD

1 Faculty of Science, University of Johannesburg, Johannesburg, South Africa

2 Institute for Intelligent Systems, University of Johannesburg, Johannesburg, South Africa

*all authors contributed equally

Corresponding Author:

  • Sefater Gbashi, PhD
  • Faculty of Science
  • University of Johannesburg
  • 55 Beit Street, Doornfontein
  • Johannesburg, 2028
  • South Africa
  • Phone: 27 620402580
  • Email: sefatergbashi@gmail.com