The impact of social media on COVID-19 vaccine hesitancy and acceptance: Data analytic approach

Alsaid, Manar; Hawamdeh, Sumer

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https://hdl.handle.net/2142/118098 Copy

Description

Title

The impact of social media on COVID-19 vaccine hesitancy and acceptance: Data analytic approach

Author(s)

• Alsaid, Manar
• Hawamdeh, Sumer

Issue Date

2022-10

Keyword(s)

• big data
• data visualization
• information literacy
• information use
• social media
• COVID-19 vaccine
• misinformation
• conspiracy theory
• fake news
• vaccine hesitancy

Abstract

There is still a great deal of vaccination hesitancy among different populations in the U.S. including health workers, government officials, minorities and marginalized communities. The politicization of the COVID-19 issue made it difficult to contain the infection and led to an increase in the spread of COVID-19 misinformation and conspiracy theories on the internet and social media. Misinformation about COVID-19 and its vaccine hindered efforts to fight the disease and continue to impact measures to contain the pandemic. In this paper, we examine the factors impacting vaccine hesitancy and acceptance in the United States. Data collected from CDC website and Twitter hashtags, #COVIDvaccines was analyzed, and the results have shown that vaccine hesitancy is largely influenced by personal opinion rather than scientific knowledge. Safety and side effect was the major impacting factor followed by misinformation and conspiracy theories.

Series/Report Name or Number

Proceedings of the ALISE Annual Conference, 2022

Type of Resource

text

Language

en

DOI

https://doi.org/10.21900/j.alise.2022.1098

Copyright and License Information

• Copyright 2022 Manar Alsaid and Sumer Hawamdeh
• This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License (https://creativecommons.org/licenses/by-sa/4.0/).

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