# Psychological Language on Twitter Predicts County-Level Heart Disease Mortality

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/psychological-language-on-twitter-predicts-county-level-heart-disease-mortality/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Johannes C. Eichstaedt,Hansen Andrew Schwartz,Margaret L. Kern,Gregory Park,Darwin R. Labarthe,Raina M. Merchant,Sneha Jha,Megha Agrawal,Lukasz Dziurzynski,Maarten Sap,Christopher Weeg,Emily Larson,Lyle Ungar,Martin E. P. Seligman |
| Citations | 513 |
| DOI | 10.1177/0956797614557867 |
| Fields | Health Professions,Psychology,Social Sciences |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2118778378 |
| PMID | 25605707 |
| Type | article |
| Year | 2015 |

## Paper authors

- [Johannes C. Eichstaedt](https://scholariq.org/researchers/johannes-c-eichstaedt/)

## Paper primary topic

- [Mental Health via Writing](https://scholariq.org/topics/mental-health-via-writing/)

## Paper topics

- [Mental Health via Writing](https://scholariq.org/topics/mental-health-via-writing/)
- [Health disparities and outcomes](https://scholariq.org/topics/health-disparities-and-outcomes/)
- [Health Literacy and Information Accessibility](https://scholariq.org/topics/health-literacy-and-information-accessibility/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.