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Public discourse and debate about vaccines in the midst of the covid-19 pandemic: A qualitative content analysis of Twitter
OBJECTIVES: Characterize the public debate and discourse about vaccines during the covid-19 vaccination programmes. METHODS: We performed a manual content analysis of a sample of English-written Twitter posts that included the word vaccine and its derivatives. We categorized 7 variables pertaining t...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier Ltd.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10070776/ https://www.ncbi.nlm.nih.gov/pubmed/37080830 http://dx.doi.org/10.1016/j.vaccine.2023.03.068 |
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author | Prada, Enrique Langbecker, Andrea Catalan-Matamoros, Daniel |
author_facet | Prada, Enrique Langbecker, Andrea Catalan-Matamoros, Daniel |
author_sort | Prada, Enrique |
collection | PubMed |
description | OBJECTIVES: Characterize the public debate and discourse about vaccines during the covid-19 vaccination programmes. METHODS: We performed a manual content analysis of a sample of English-written Twitter posts that included the word vaccine and its derivatives. We categorized 7 variables pertaining to the content of the posts, and classified the type of user that published the post and the number of retweets. Then, the patterns of association between these variables were further explored. RESULTS: Among the tweets with negative tone towards vaccines, 33% display negationist discourses, 29% protest or defiance discourses, 13% discuss the pandemic management measures and yet another 13% of these tweets display a scientific discourse. Research results, vaccination data and practical information are more associated to positive tone towards vaccines, while news relate to neutral tone. The users that received more retweets were media accounts and journalists, followed by government accounts and scientific organizations related to the government. Tweets displaying preventive messages received more retweets in average. The discourses most associated with objective information are the preventive, institutional, medical-scientific, and those about the different measures to manage the pandemic. On the other hand, the most subjective tweets are those with negationist, antinegationist and protest discourses. CONCLUSIONS: Although there is a non-negligible proportion of tweets that are directly opposed to vaccines, also an important part of vaccine-negative content takes the form of protest discourses, criticisms towards government actions as well as towards the measures to tackle the pandemic. Therefore, negative discourses during the pandemic included serious vaccine hesitancy cases. Moreover, they were not only fuelled by distrust in science, but also and very importantly they were connected to dissatisfaction towards the public management of the pandemic. |
format | Online Article Text |
id | pubmed-10070776 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | The Author(s). Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-100707762023-04-04 Public discourse and debate about vaccines in the midst of the covid-19 pandemic: A qualitative content analysis of Twitter Prada, Enrique Langbecker, Andrea Catalan-Matamoros, Daniel Vaccine Article OBJECTIVES: Characterize the public debate and discourse about vaccines during the covid-19 vaccination programmes. METHODS: We performed a manual content analysis of a sample of English-written Twitter posts that included the word vaccine and its derivatives. We categorized 7 variables pertaining to the content of the posts, and classified the type of user that published the post and the number of retweets. Then, the patterns of association between these variables were further explored. RESULTS: Among the tweets with negative tone towards vaccines, 33% display negationist discourses, 29% protest or defiance discourses, 13% discuss the pandemic management measures and yet another 13% of these tweets display a scientific discourse. Research results, vaccination data and practical information are more associated to positive tone towards vaccines, while news relate to neutral tone. The users that received more retweets were media accounts and journalists, followed by government accounts and scientific organizations related to the government. Tweets displaying preventive messages received more retweets in average. The discourses most associated with objective information are the preventive, institutional, medical-scientific, and those about the different measures to manage the pandemic. On the other hand, the most subjective tweets are those with negationist, antinegationist and protest discourses. CONCLUSIONS: Although there is a non-negligible proportion of tweets that are directly opposed to vaccines, also an important part of vaccine-negative content takes the form of protest discourses, criticisms towards government actions as well as towards the measures to tackle the pandemic. Therefore, negative discourses during the pandemic included serious vaccine hesitancy cases. Moreover, they were not only fuelled by distrust in science, but also and very importantly they were connected to dissatisfaction towards the public management of the pandemic. The Author(s). Published by Elsevier Ltd. 2023-05-11 2023-04-04 /pmc/articles/PMC10070776/ /pubmed/37080830 http://dx.doi.org/10.1016/j.vaccine.2023.03.068 Text en © 2023 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 Prada, Enrique Langbecker, Andrea Catalan-Matamoros, Daniel Public discourse and debate about vaccines in the midst of the covid-19 pandemic: A qualitative content analysis of Twitter |
title | Public discourse and debate about vaccines in the midst of the covid-19 pandemic: A qualitative content analysis of Twitter |
title_full | Public discourse and debate about vaccines in the midst of the covid-19 pandemic: A qualitative content analysis of Twitter |
title_fullStr | Public discourse and debate about vaccines in the midst of the covid-19 pandemic: A qualitative content analysis of Twitter |
title_full_unstemmed | Public discourse and debate about vaccines in the midst of the covid-19 pandemic: A qualitative content analysis of Twitter |
title_short | Public discourse and debate about vaccines in the midst of the covid-19 pandemic: A qualitative content analysis of Twitter |
title_sort | public discourse and debate about vaccines in the midst of the covid-19 pandemic: a qualitative content analysis of twitter |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10070776/ https://www.ncbi.nlm.nih.gov/pubmed/37080830 http://dx.doi.org/10.1016/j.vaccine.2023.03.068 |
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