From the Department of Computer Science, John Hopkins University
Wednesday, November 14th, 12:00-1:30pm
Modern Languages Building, Room 201
Twitter and other social media websites contain a wealth of information about populations, and has been used to track sentiment towards products, measure political attitudes, and study social linguistics. In this talk, we investigate the potential for Twitter and social media to impact public health research. Broadly, we explore a range of applications for which social media may hold relevant data, including disease surveillance, public safety, and drug usage patterns. To uncover these trends, we develop new statistical models that can process vast quantities of data and reveal trends and patterns of interest to public health. Our results suggest that social media has broad applicability for public health research.
Cosponsored by the department of Mathematics & Computer Science