Inferring COVID-19 Vaccine Attitudes from Twitter Data An Application to the Arabic Speaking World

This study investigates whether Twitter data can be used to infer attitudes towards COVID-19 vaccination with an application to the Arabic speaking world. At first glance, anti-vaccine sentiment estimated from Twitter data is surprisingly low in comparison to estimates obtained from survey data. Onl...

Ausführliche Beschreibung

Bibliographische Detailangaben

1. Verfasser:	Van Der Weide, Roy (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	Washington, D.C The World Bank 2022
Schlagworte:	Anti-Vaccine Social Media Arabic Twitter Communicable Diseases Covid Vaccine Side Effect Attitudes COVID-19 Pandemic Disease Control and Prevention Health Behavior Health, Nutrition and Population Immunizations Pharmaceuticals and Pharmacoeconomics Positive Vaccine Messaging Public Health Promotion Public Health Survey Sentiment Data Social Media Vaccine Endorsements Vaccine Sentiment
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