Social Media Data, Machine Learning, and Predicting Online Disinformation Propagation

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This Working Group is comprised of a team of computational social scientists, psychologists, and public health specialists who specialize in the analysis of social media data and machine learning. The group predicts the spread of COVID-19 disinformation in social media networks. Leveraging social science, public health, and computer science, it will correlate group-level psychological traits with the willingness to spread disinformation related to COVID-19 across social media.

Working Group Lead

David Muchlinski, Georgia Institute of Technology
Emaildavid.muchlinski@inta.gatech.edu

Working Group Members

Rebecca Christofferson, Louisiana State University
Courtney Crooks, Georgia Institute of Technology
Munmun De Choudhury, Georgia Institute of Technology
Nadine Kaslow, Emory University