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Systems scientists find clues to why false news snowballs on social media

MIT researchers built a theoretical model to study how news spreads on a Twitter-like social network and found that when a network is highly connected or when the views of its members are sharply polarized, false news will spread wider than news that is seen as more credible. ....

Deb Roy , Chin Chia Hsu , Amir Ajorlou , Ali Jadbabaie , Soroush Vosoughi , Laboratory For Information , Department Of Civil , Institute For Data , Dartmouth University , Army Research Office Multidisciplinary University Initiative , Sloan School Of Management , Media Lab , Environmental Engineering , Decision Systems , Engineering Systems , Sinan Aral , David Austin Professor , Vannevar Bush Fellowship , Ews Cascades ,