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Assessing the quality of COVID-19 vaccine videos on video-sharing platforms by Tan, Ryan Yanqi (author);Pua, Alyssa Elyn (author);Wong, Li Lian (author);Yap, Kevin Yi-Lwern (author) is a scholarly article available to read on EtoBox.

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## Background Video-sharing platforms are a common source for health information such as Coronavirus Disease 2019 (COVID-19) vaccines. It is important that they provide good quality, evidence-based information. However, to date, the quality of information surrounding COVID-19 vaccines on video-sharing platforms has not been established. ## Objective This study developed an assessment tool to evaluate the quality of Coronavirus Disease 2019 (COVID-19) vaccine videos on YouTube, Facebook Watch and TikTok. ## Methods Assessment of quality was based on understandability, actionability, accuracy, comprehensiveness and reliability. Videos were searched using the keywords “COVID-19 vaccine”, “Coronavirus vaccine” and “SARS-CoV-2 vaccine”. Seventy-two videos were evaluated. Descriptive statistics, Kruskal-Wallis and Wilcoxon-rank sum tests were used for analysis. ## Results YouTube had the highest median composite score compared to TikTok (36.8% versus 27.5%, __p__ = 0.001). YouTube also had the highest median reliability score (37.5%), but those of Facebook Watch (35.0%) and TikTok (35.0%) were only marginally lower. Median accuracy scores of all platforms were 100%, but their median comp

Author

Tan, Ryan Yanqi (author);Pua, Alyssa Elyn (author);Wong, Li Lian (author);Yap, Kevin Yi-Lwern (author)

Publisher

Elsevier BV

Published

2021

Language

EN