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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10022074/ https://www.ncbi.nlm.nih.gov/pubmed/36962368 http://dx.doi.org/10.1371/journal.pgph.0000279 |