Measuring COVID-19 Vaccine Hesitancy: Consistency of Social Media with Surveys
13th International Conference on Social Informatics, SocInfo 2022
; 13618 LNCS:196-210, 2022.
Article
in English
| Scopus | ID: covidwho-2128493
ABSTRACT
We validate whether social media data can be used to complement social surveys to monitor the public’s COVID-19 vaccine hesitancy. Taking advantage of recent artificial intelligence advances, we propose a framework to estimate individuals’ vaccine hesitancy from their social media posts. With 745,661 vaccine-related tweets originating from three Western European countries, we compare vaccine hesitancy levels measured with our framework against that collected from multiple consecutive waves of surveys. We successfully validate that Twitter, one popular social media platform, can be used as a data source to calculate consistent public acceptance of COVID-19 vaccines with surveys at both country and region levels. In addition, this consistency persists over time although it varies among socio-demographic sub-populations. Our findings establish the power of social media in complementing social surveys to capture the continuously changing vaccine hesitancy in a global health crisis similar to the COVID-19 pandemic. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Observational study
Topics:
Vaccines
Language:
English
Journal:
13th International Conference on Social Informatics, SocInfo 2022
Year:
2022
Document Type:
Article
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