TY - JOUR
T1 - Understanding the Influence of Web-Based Information, Misinformation, Disinformation, and Reinformation on COVID-19 Vaccine Acceptance
T2 - Protocol for a Multicomponent Study
AU - Dubé, Eve
AU - MacDonald, Shannon E.
AU - Manca, Terra
AU - Bettinger, Julie A.
AU - Driedger, S. Michelle
AU - Graham, Janice
AU - Greyson, Devon
AU - MacDonald, Noni E.
AU - Meyer, Samantha
AU - Roch, Geneviève
AU - Vivion, Maryline
AU - Aylsworth, Laura
AU - Witteman, Holly O.
AU - Gélinas-Gascon, Félix
AU - Guimaraes, Lucas Marques Sathler
AU - Hakim, Hina
AU - Gagnon, Dominique
AU - Béchard, Benoît
AU - Gramaccia, Julie A.
AU - Khoury, Richard
AU - Tremblay, Sébastien
N1 - Funding Information:
This work is supported by a research grant from the Canadian Institutes of Health Research (GA3177725).
Publisher Copyright:
© 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.
PY - 2022/10
Y1 - 2022/10
N2 - 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.
AB - 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.
KW - COVID-19
KW - disinformation
KW - misinformation
KW - online
KW - vaccination
KW - vaccine
KW - vaccine decisions
KW - vaccine hesitancy
UR - http://www.scopus.com/inward/record.url?scp=85142383616&partnerID=8YFLogxK
U2 - 10.2196/41012
DO - 10.2196/41012
M3 - Journal Article
AN - SCOPUS:85142383616
VL - 11
JO - JMIR Research Protocols
JF - JMIR Research Protocols
IS - 10
M1 - e41012
ER -
