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

JMIR Theme Issue: COVID-19 Special Issue (2452) Artificial Intelligence (1371) Vaccination and Immunization in the Digital Age (374) Mass Media/Social Media Communication and Campaigns (461) Outbreak and Pandemic Preparedness and Management (1727) COVID-19 Vaccination (146) Infodemiology and Infoveillance (1349) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517)

Published on in Vol 23, No 4 (2021): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26627, first published .
Artificial Intelligence–Enabled Analysis of Public Attitudes on Facebook and Twitter Toward COVID-19 Vaccines in the United Kingdom and the United States: Observational Study

Artificial Intelligence–Enabled Analysis of Public Attitudes on Facebook and Twitter Toward COVID-19 Vaccines in the United Kingdom and the United States: Observational Study

Artificial Intelligence–Enabled Analysis of Public Attitudes on Facebook and Twitter Toward COVID-19 Vaccines in the United Kingdom and the United States: Observational Study

Authors of this article:

Amir Hussain1 Author Orcid Image ;   Ahsen Tahir1, 2 Author Orcid Image ;   Zain Hussain3 Author Orcid Image ;   Zakariya Sheikh3 Author Orcid Image ;   Mandar Gogate1 Author Orcid Image ;   Kia Dashtipour1 Author Orcid Image ;   Azhar Ali4, 5 Author Orcid Image ;   Aziz Sheikh6 Author Orcid Image
Article Authors Cited by (174) Tweetations (19) Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.