Twitter Predicts Heart Disease

Date created: | Last Updated:

: DOI | ARK

Creating DOI. Please wait...

Create DOI

Category: Project

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

License: CC-By Attribution 4.0 International

Wiki

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.

Files

Loading files...

Citation

Components

  • 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...

    Recent Activity

    Loading logs...

Recent Activity

Loading logs...

OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
Accept
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.
Accept
×

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.