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Huge MIT Study of ‘Fake News’: Falsehoods Win on Twitter

Huge MIT Study of ‘Fake News’: Falsehoods Win on Twitter
Ultimately, they found about 126,000 tweets, which, together, had been retweeted more than 4.5 million times. Some linked to “fake” stories hosted on other websites. Some started rumors themselves, either in the text of a tweet or in an attached image. (The team used a special program that could search for words contained within static tweet images.) And some contained true information or linked to it elsewhere. Then they ran a series of analyses, comparing the popularity of the fake rumors with the popularity of the real news. Speaking from MIT this week, Vosoughi gave me an example: There are lots of ways for a tweet to get 10,000 retweets, he said. Meanwhile, someone without many followers sends Tweet B. Tweet A and Tweet B both have the same size audience, but Tweet B has more “depth,” to use Vosoughi’s term. Here’s the thing: Fake news dominates according to both metrics. These results proved robust even when they were checked by humans, not bots.

https://www.theatlantic.com/technology/archive/2018/03/largest-study-ever-fake-news-mit-twitter/555104/

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