AI-based Language Analyses for Science, Public Health and Public Policy - Livestream

The content shared on social media is the largest data set on human thoughts, emotions, and behaviors in history. We use Natural Language Processing and machine learning to leverage this data for social good and psychological science. I will demonstrate how Facebook data can be used to predict depression of patients before it appears in their medical records, and how Twitter can predict the heart disease of communities better than standard risk factors. Finally, if we have time, I will talk about our new work to equip transformer-based language models with personality. Across these studies, I show that large-scale language analyses with AI can augment clinical practice, guide prevention, and inform public policy.

Speaker: Johannes Eichstaedt, Stanford University, was originally scheduled to speak on January 31.

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