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Understanding the Influence of Web-Based Information, Misinformation, Disinformation, and Reinformation on COVID-19 Vaccine Acceptance: Protocol for a Multicomponent Study
BACKGROUND: The COVID-19 pandemic has generated an explosion in the amount of information shared on the internet, including false and misleading information on SARS-CoV-2 and recommended protective behaviors. Prior to the pandemic, web-based misinformation and disinformation were already identified...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9578524/ https://www.ncbi.nlm.nih.gov/pubmed/36191171 http://dx.doi.org/10.2196/41012 |
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author | Dubé, Eve MacDonald, Shannon E Manca, Terra Bettinger, Julie A Driedger, S Michelle Graham, Janice Greyson, Devon MacDonald, Noni E Meyer, Samantha Roch, Geneviève Vivion, Maryline Aylsworth, Laura Witteman, Holly O Gélinas-Gascon, Félix Marques Sathler Guimaraes, Lucas Hakim, Hina Gagnon, Dominique Béchard, Benoît Gramaccia, Julie A Khoury, Richard Tremblay, Sébastien |
author_facet | Dubé, Eve MacDonald, Shannon E Manca, Terra Bettinger, Julie A Driedger, S Michelle Graham, Janice Greyson, Devon MacDonald, Noni E Meyer, Samantha Roch, Geneviève Vivion, Maryline Aylsworth, Laura Witteman, Holly O Gélinas-Gascon, Félix Marques Sathler Guimaraes, Lucas Hakim, Hina Gagnon, Dominique Béchard, Benoît Gramaccia, Julie A Khoury, Richard Tremblay, Sébastien |
author_sort | Dubé, Eve |
collection | PubMed |
description | BACKGROUND: The COVID-19 pandemic has generated an explosion in the amount of information shared on the internet, including false and misleading information on SARS-CoV-2 and recommended protective behaviors. Prior to the pandemic, web-based misinformation and disinformation were already identified as having an impact on people’s decision to refuse or delay recommended vaccination for themselves or their children. OBJECTIVE: The overall aims of our study are to better understand the influence of web-based misinformation and disinformation on COVID-19 vaccine decisions and investigate potential solutions to reduce the impact of web-based misinformation and disinformation about vaccines. METHODS: Based on different research approaches, the study will involve (1) the use of artificial intelligence techniques, (2) a web-based survey, (3) interviews, and (4) a scoping review and an environmental scan of the literature. RESULTS: As of September 1, 2022, data collection has been completed for all objectives. The analysis is being conducted, and results should be disseminated in the upcoming months. CONCLUSIONS: The findings from this study will help with understanding the underlying determinants of vaccine hesitancy among Canadian individuals and identifying effective, tailored interventions to improve vaccine acceptance among them. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/41012 |
format | Online Article Text |
id | pubmed-9578524 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-95785242022-10-19 Understanding the Influence of Web-Based Information, Misinformation, Disinformation, and Reinformation on COVID-19 Vaccine Acceptance: Protocol for a Multicomponent Study Dubé, Eve MacDonald, Shannon E Manca, Terra Bettinger, Julie A Driedger, S Michelle Graham, Janice Greyson, Devon MacDonald, Noni E Meyer, Samantha Roch, Geneviève Vivion, Maryline Aylsworth, Laura Witteman, Holly O Gélinas-Gascon, Félix Marques Sathler Guimaraes, Lucas Hakim, Hina Gagnon, Dominique Béchard, Benoît Gramaccia, Julie A Khoury, Richard Tremblay, Sébastien JMIR Res Protoc Protocol BACKGROUND: The COVID-19 pandemic has generated an explosion in the amount of information shared on the internet, including false and misleading information on SARS-CoV-2 and recommended protective behaviors. Prior to the pandemic, web-based misinformation and disinformation were already identified as having an impact on people’s decision to refuse or delay recommended vaccination for themselves or their children. OBJECTIVE: The overall aims of our study are to better understand the influence of web-based misinformation and disinformation on COVID-19 vaccine decisions and investigate potential solutions to reduce the impact of web-based misinformation and disinformation about vaccines. METHODS: Based on different research approaches, the study will involve (1) the use of artificial intelligence techniques, (2) a web-based survey, (3) interviews, and (4) a scoping review and an environmental scan of the literature. RESULTS: As of September 1, 2022, data collection has been completed for all objectives. The analysis is being conducted, and results should be disseminated in the upcoming months. CONCLUSIONS: The findings from this study will help with understanding the underlying determinants of vaccine hesitancy among Canadian individuals and identifying effective, tailored interventions to improve vaccine acceptance among them. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/41012 JMIR Publications 2022-10-17 /pmc/articles/PMC9578524/ /pubmed/36191171 http://dx.doi.org/10.2196/41012 Text en ©Eve Dubé, Shannon E MacDonald, Terra Manca, Julie A Bettinger, S Michelle Driedger, Janice Graham, Devon Greyson, Noni E MacDonald, Samantha Meyer, Geneviève Roch, Maryline Vivion, Laura Aylsworth, Holly O Witteman, Félix Gélinas-Gascon, Lucas Marques Sathler Guimaraes, Hina Hakim, Dominique Gagnon, Benoît Béchard, Julie A Gramaccia, Richard Khoury, Sébastien Tremblay. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 17.10.2022. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Research Protocols, is properly cited. The complete bibliographic information, a link to the original publication on https://www.researchprotocols.org, as well as this copyright and license information must be included. |
spellingShingle | Protocol Dubé, Eve MacDonald, Shannon E Manca, Terra Bettinger, Julie A Driedger, S Michelle Graham, Janice Greyson, Devon MacDonald, Noni E Meyer, Samantha Roch, Geneviève Vivion, Maryline Aylsworth, Laura Witteman, Holly O Gélinas-Gascon, Félix Marques Sathler Guimaraes, Lucas Hakim, Hina Gagnon, Dominique Béchard, Benoît Gramaccia, Julie A Khoury, Richard Tremblay, Sébastien Understanding the Influence of Web-Based Information, Misinformation, Disinformation, and Reinformation on COVID-19 Vaccine Acceptance: Protocol for a Multicomponent Study |
title | Understanding the Influence of Web-Based Information, Misinformation, Disinformation, and Reinformation on COVID-19 Vaccine Acceptance: Protocol for a Multicomponent Study |
title_full | Understanding the Influence of Web-Based Information, Misinformation, Disinformation, and Reinformation on COVID-19 Vaccine Acceptance: Protocol for a Multicomponent Study |
title_fullStr | Understanding the Influence of Web-Based Information, Misinformation, Disinformation, and Reinformation on COVID-19 Vaccine Acceptance: Protocol for a Multicomponent Study |
title_full_unstemmed | Understanding the Influence of Web-Based Information, Misinformation, Disinformation, and Reinformation on COVID-19 Vaccine Acceptance: Protocol for a Multicomponent Study |
title_short | Understanding the Influence of Web-Based Information, Misinformation, Disinformation, and Reinformation on COVID-19 Vaccine Acceptance: Protocol for a Multicomponent Study |
title_sort | understanding the influence of web-based information, misinformation, disinformation, and reinformation on covid-19 vaccine acceptance: protocol for a multicomponent study |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9578524/ https://www.ncbi.nlm.nih.gov/pubmed/36191171 http://dx.doi.org/10.2196/41012 |
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