Article "Visualizing the major gap between media election coverage and what people are actually talking about"
by Alice Truong, Siyi Chen
October 17, 2016
Developer - Laboratory for Social Machines
twitter.com/mitelectome
Team:
Andrew Heyward
Lisa Conn
mediaFWD 2016 // The Electome: Using Social Machines to Empower Humanity
Published on Dec 23, 2016
MIT’s Laboratory for Social Machines, is amidst an analytics project focused on the Presidential election called “The Electome.” Drawing machine learning, natural language processing, and network analysis, they’re exploring how three separate forces – campaign journalism, the candidates' messaging, and the public response in the digital sphere — converge to shape the presidential election’s most important narratives as well as its outcome. They’ll close out our 2016 mediaFWD by sharing what they’ve learned and setting the stage for a historical moment in time.
The Electome: Where political journalism meets AI
Published on Jan 19, 2017
Built at the Laboratory for Social Machines (LSM) with support from Twitter and Knight Foundation, The Electome is a data project aimed at improving journalism and electoral politics in the social-media age. During the 2016 US presidential election, The Electome used machine learning, network science, and other artificial-intelligence techniques to track the public response to the campaign, with a focus on policy issues. Dozens of stories were published with news organizations including The Washington Post, CNN, and Vice. The Electome was also an official partner of the Commission on Presidential Debates, providing data and suggested questions to the moderators. One of its analytic tools was the focus of an exhibit at the Newseum in Washington, D.C. LSM is the only science lab in the world with access to Twitter’s full output of approximately 500 million tweets per day.
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