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Misinformation versus Facts: Understanding the Influence of News regarding COVID-19 Vaccines on Vaccine Uptake
Author(s) -
Hanjia Lyu,
Zihe Zheng,
Jiebo Luo
Publication year - 2022
Publication title -
health data science
Language(s) - English
Resource type - Journals
eISSN - 2097-1095
pISSN - 2765-8783
DOI - 10.34133/2022/9858292
Subject(s) - misinformation , covid-19 , vaccination , pandemic , demographics , social media , demography , psychology , internet privacy , medicine , political science , computer science , virology , sociology , world wide web , disease , law , infectious disease (medical specialty)
Background . There is a lot of fact-based information and misinformation in the online discourses and discussions about the COVID-19 vaccines. Method . Using a sample of nearly four million geotagged English tweets and the data from the CDC COVID Data Tracker, we conducted the Fama-MacBeth regression with the Newey-West adjustment to understand the influence of both misinformation and fact-based news on Twitter on the COVID-19 vaccine uptake in the US from April 19 when US adults were vaccine eligible to June 30, 2021, after controlling state-level factors such as demographics, education, and the pandemic severity. We identified the tweets related to either misinformation or fact-based news by analyzing the URLs. Results . One percent increase in fact-related Twitter users is associated with an approximately 0.87 decrease ( B = − 0.87 , SE = 0.25 , and p < .001 ) in the number of daily new vaccinated people per hundred. No significant relationship was found between the percentage of fake-news-related users and the vaccination rate. Conclusion . The negative association between the percentage of fact-related users and the vaccination rate might be due to a combination of a larger user-level influence and the negative impact of online social endorsement on vaccination intent.

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