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.

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Deb Roy ,Chin Chia Hsu ,Amir Ajorlou ,Ali Jadbabaie ,Soroush Vosoughi ,Laboratory For Information ,Twitter ,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 ,