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Does Twitter language reliably predict heart disease? A commentary on Eichstaedt et al. (2015a)
We comment on Eichstaedt et al.’s (2015a) claim to have shown that language patterns among Twitter users, aggregated at the level of US counties, predicted county-level mortality rates from atherosclerotic heart disease (AHD), with “negative” language being associated with higher rates of death from...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
PeerJ Inc.
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6152451/ https://www.ncbi.nlm.nih.gov/pubmed/30258732 http://dx.doi.org/10.7717/peerj.5656 |