Are socio-demographic and economic characteristics good predictors of misinformation during an epidemic?
We combine data on beliefs about the origin of the 2014 Ebola outbreak with two supervised machine learning methods to predict who is more likely to be misinformed. Contrary to popular beliefs, we uncover that, socio-demographic and economic indicators play a minor role in predicting those who are m...
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| Main Authors: | , |
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| Format: | Book |
| Published: |
Public Library of Science (PLoS),
2022-01-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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Internet
Connect to this object online.3rd Floor Main Library
| Call Number: |
A1234.567 |
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| Copy 1 | Available |