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We analyze approximately 1.5 million Tweets from members of Congress using Natural Language Processing, determining the issues/policies discussed in them to assess the factors that shape why some political messages spread more than others.
Rachel Clyburn, Clemson University
Nicholas I Deas, Clemson University
Cierra Rubylee Oliveira, Clemson University
Spencer A Shellnutt, Clemson University