An analysis of COVID-19 vaccine sentiments and opinions on Twitter

OBJECTIVE: We identified public sentiments and opinions toward the COVID-19 vaccines based on the content of Twitter. MATERIALS AND METHODS: We retrieved 4,552,652 publicly available tweets posted within the timeline of January 2020 to January 2021. Following extraction, we identified vaccine sentim...

Descripción completa

Detalles Bibliográficos
Autores principales: Yousefinaghani, Samira, Dara, Rozita, Mubareka, Samira, Papadopoulos, Andrew, Sharif, Shayan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8157498/
https://www.ncbi.nlm.nih.gov/pubmed/34052407
http://dx.doi.org/10.1016/j.ijid.2021.05.059

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8157498/
https://www.ncbi.nlm.nih.gov/pubmed/34052407
http://dx.doi.org/10.1016/j.ijid.2021.05.059

Ejemplares similares