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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.