No Evidence That Twitter Language Reliably Predicts Heart Disease: A Reanalysis of Eichstaedt et al. (2015a)

Abstract excerpt

<p>We reanalyze Eichstaedt et al.’s (2015a) claim to have shown that language patterns among Twitter users, aggregated at the level of U.S. counties, predicted county-level mortality rates from atherosclerotic heart disease (AHD), with “negative” language being associated with higher rates of death from AHD and “positive” language associated with lower rates. First, we examine some of Eichstaedt et al.’s apparent...

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• Canada
• Cause of Death
• Child, Preschool
• Communication
• Death, Sudden, Cardiac
• Family
• Ontario
• Radiomics and Machine Learning in Medical Imaging

Identifiers and source

Literature Corpus work

2bb3c768-8df6-5f51-882f-a2ed7e1ce21d

DOI

10.31234/osf.io/dursw