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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...

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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:
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
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author Yousefinaghani, Samira
Dara, Rozita
Mubareka, Samira
Papadopoulos, Andrew
Sharif, Shayan
author_facet Yousefinaghani, Samira
Dara, Rozita
Mubareka, Samira
Papadopoulos, Andrew
Sharif, Shayan
author_sort Yousefinaghani, Samira
collection PubMed
description 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 sentiments and opinions of tweets and compared their progression by time, geographical distribution, main themes, keywords, posts engagement metrics and accounts characteristics. RESULTS: We found a slight difference in the prevalence of positive and negative sentiments, with positive being the dominant polarity and having higher engagements. The amount of discussion on vaccine rejection and hesitancy was more than interest in vaccines during the course of the study, but the pattern was different in various countries. We found the accounts producing vaccine opposition content were partly Twitter bots or political activists while well-known individuals and organizations generated the content in favour of vaccination. CONCLUSION: Understanding sentiments and opinions toward vaccination using Twitter may help public health agencies to increase positive messaging and eliminate opposing messages in order to enhance vaccine uptake.
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spelling pubmed-81574982021-05-28 An analysis of COVID-19 vaccine sentiments and opinions on Twitter Yousefinaghani, Samira Dara, Rozita Mubareka, Samira Papadopoulos, Andrew Sharif, Shayan Int J Infect Dis Article 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 sentiments and opinions of tweets and compared their progression by time, geographical distribution, main themes, keywords, posts engagement metrics and accounts characteristics. RESULTS: We found a slight difference in the prevalence of positive and negative sentiments, with positive being the dominant polarity and having higher engagements. The amount of discussion on vaccine rejection and hesitancy was more than interest in vaccines during the course of the study, but the pattern was different in various countries. We found the accounts producing vaccine opposition content were partly Twitter bots or political activists while well-known individuals and organizations generated the content in favour of vaccination. CONCLUSION: Understanding sentiments and opinions toward vaccination using Twitter may help public health agencies to increase positive messaging and eliminate opposing messages in order to enhance vaccine uptake. The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. 2021-07 2021-05-27 /pmc/articles/PMC8157498/ /pubmed/34052407 http://dx.doi.org/10.1016/j.ijid.2021.05.059 Text en © 2021 The Author(s) Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Yousefinaghani, Samira
Dara, Rozita
Mubareka, Samira
Papadopoulos, Andrew
Sharif, Shayan
An analysis of COVID-19 vaccine sentiments and opinions on Twitter
title An analysis of COVID-19 vaccine sentiments and opinions on Twitter
title_full An analysis of COVID-19 vaccine sentiments and opinions on Twitter
title_fullStr An analysis of COVID-19 vaccine sentiments and opinions on Twitter
title_full_unstemmed An analysis of COVID-19 vaccine sentiments and opinions on Twitter
title_short An analysis of COVID-19 vaccine sentiments and opinions on Twitter
title_sort analysis of covid-19 vaccine sentiments and opinions on twitter
topic Article
url 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
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