We found a match
Your institution may have rights to this item. Sign in to continue.
- Title
Understanding the Influence of Web-Based Information, Misinformation, Disinformation, and Reinformation on COVID-19 Vaccine Acceptance: Protocol for a Multicomponent Study.
- Authors
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; Guimaraes, Lucas Marques Sathler; Hakim, Hina; Gagnon, Dominique; Béchard, Benoît; Gramaccia, Julie A.; Khoury, Richard
- Abstract
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.
- Subjects
COVID-19 vaccines; DISINFORMATION; COVID-19 pandemic; ARTIFICIAL intelligence; VACCINE hesitancy; MISINFORMATION
- Publication
JMIR Research Protocols, 2022, Vol 11, Issue 10, p297
- ISSN
1929-0748
- Publication type
Article
- DOI
10.2196/41012