Hal Abelson, the Class of 1922 Professor of Computer Science and Engineering at MIT and principal investigator at the Computer Science and Artificial Intelligence Lab (CSAIL) and computer science student Kang Zhang have developed a crowd sourcing system that has analyzed the tweets of roughly 10 million U.S. voters as the national election came and went. TwiThinks analyzed the data from not only how many times each candidate is tweeted by state, but what topics are tweeted when they mention a particular candidate, the latest election news from each candidate and the nation-wide publicity for each candidate.
As reported by the Computer Science and Artificial Intelligence Lab (CSAIL) writer Abby Abazorius, Zhang and Abelson caution that Twitter publicity doesn't directly reflect voting behavior. Zhang said for the election day CSAIL article, “We track political conversations of millions of U.S. Twitter users and show a comprehensive view of the publicity of each presidential candidate on Twitter.”
Read more in the Nov. 6, 2012 CSAIL article
Visit the TwiThinks website