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Using big data to understand the online ecology of COVID-19 vaccination hesitancy

Medicine and Health

Using big data to understand the online ecology of COVID-19 vaccination hesitancy

S. Teng, N. Jiang, et al.

This fascinating study explores the reasons behind COVID-19 vaccine hesitancy revealed through an analysis of over 43,000 YouTube comments. Conducted by Shasha Teng, Nan Jiang, and Kok Wei Khong, the research uncovers how safety concerns, distrust, and political influences shape public perception of vaccines. Discover how addressing these issues with evidence-based messaging could make a difference!

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Playback language: English
Abstract
This study investigates COVID-19 vaccine hesitancy using YouTube comments. Analysis of 43,203 comments reveals polarized views, with hesitancy stemming from concerns about vaccine safety, side effects, and distrust in government and pharmaceutical companies. Political affiliations significantly influenced vaccine decisions, and anti-vaccine misinformation fueled hesitancy. The study suggests crafting evidence-based social media messages to address these concerns.
Publisher
Humanities & Social Sciences Communications
Published On
May 06, 2022
Authors
Shasha Teng, Nan Jiang, Kok Wei Khong
Tags
COVID-19
vaccine hesitancy
YouTube comments
misinformation
public perception
trust
safety concerns

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