Uploaded March 2016 | Updated September 2026, 2 weeks ago
Speaker: Johannes C. Eichstaedt, University of Pennsylvania
The expression of millions of users on social media is one of the largest longitudinal and cross-sectional data collection efforts in human history, with great potential for public health. By applying computational language analysis to Twitter, we predict geographical variation in heart disease, and identify its psychological correlates at the community level.
Speaker: Johannes C. Eichstaedt, University of Pennsylvania
The expression of millions of users on social media is one of the largest longitudinal and cross-sectional data collection efforts in human history, with great potential for public health. By applying computational language analysis to Twitter, we predict geographical variation in heart disease, and identify its psychological correlates at the community level.
