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

Infodemic Management (51) JMIR Theme Issue: COVID-19 Special Issue (2473) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1068) Infodemiology and Infoveillance (1405) Vaccination and Immunization in the Digital Age (385) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1523) Information Quality in Digital Media (357) Quality/Credibility of eHealth Information and Trust Issues (570) Infoveillance and Social Listening (222)

Published on in Vol 2, No 1 (2022): Jan-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37077, first published .
The Association Between Dissemination and Characteristics of Pro-/Anti-COVID-19 Vaccine Messages on Twitter: Application of the Elaboration Likelihood Model

The Association Between Dissemination and Characteristics of Pro-/Anti-COVID-19 Vaccine Messages on Twitter: Application of the Elaboration Likelihood Model

The Association Between Dissemination and Characteristics of Pro-/Anti-COVID-19 Vaccine Messages on Twitter: Application of the Elaboration Likelihood Model

Authors of this article:

Vipin Saini1 Author Orcid Image ;   Li-Lin Liang2, 3, 4, 5 Author Orcid Image ;   Yu-Chen Yang1 Author Orcid Image ;   Huong Mai Le3 Author Orcid Image ;   Chun-Ying Wu4, 5, 6 Author Orcid Image
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