Twitter Predicts Heart Disease

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Description: Accompanying the paper in Psychological Science. This repo contains all the county-level language feature and outcome tables to reproduce our findings.

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Hi there, as of 3/2016, I've uploaded dense tables, which should make it much easier to work with the data. the "group_id" in the tables is the field that holds the county FIPS code, a unqiue ID for every county. That's the key that all the tables can be joined on. the "group_norm" fields hold the actual (normalized) 1to3gram, dictionary, or topic frequencies.

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osf.io/rt6w2

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  • More Evidence that Twitter Language Predicts Heart Disease: A Response and Replication

    Eichstaedt, Schwartz, Giorgi & 7 more
    A recent preprint by Brown and Coyne titled, "No Evidence That Twitter Language Reliably Predicts Heart Disease: A Reanalysis of Eichstaedt et al." as...

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