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Home » “Fake News” Travels Faster and Further than Real News on Twitter

Capitol Communicator reports Elon Musk’s takeover of Twitter has already prompted a slowdown of ad dollars to the much-scrutinized social-media venue, reported Variety on November 1.

“Fake News” Travels Faster and Further than Real News on Twitter

by | Mar 11, 2018

From Russian “bots” to charges of fake news, headlines are awash in stories about dubious information going viral, reports Science magazine, which added that you might think “that bots—automated systems that can share information online—are to blame. But a new study shows that people are the prime culprits when it comes to the propagation of misinformation through social networks. And they’re good at it, too: Tweets containing falsehoods reach 1500 people on Twitter six times faster than truthful tweets, the research reveals.

“Bots are so new that we don’t have a clear sense of what they’re doing and how big of an impact they’re making, says Shawn Dorius, a social scientist at Iowa State University in Ames who wasn’t involved in the research. We generally think that bots distort the types of information that reaches the public, but—in this study at least—they don’t seem to be skewing the headlines toward false news, he notes. They propagated true and false news roughly equally.

“The main impetus for the new research was the 2013 Boston Marathon bombing. The lead author—Soroush Vosoughi, a data scientist at the Massachusetts Institute of Technology in Cambridge—says after the attack a lot of the stuff he was reading on social media was false. There were rumors that a student from Brown University, who had gone missing, was suspected by the police. But later, people found out that he had nothing to do with the attack and had committed suicide (for reasons unrelated to the bombing).

“That’s when Vosoughi realized that “these rumors aren’t just fun things on Twitter, they really can have effects on people’s lives and hurt them really badly.” A Ph.D. student at the time, he switched his research to focus on the problem of detecting and characterizing the spread of misinformation on social media.

“He and his colleagues collected 12 years of data from Twitter, starting from the social media platform’s inception in 2006. Then they pulled out tweets related to news that had been investigated by six independent fact-checking organizations—websites like PolitiFact, Snopes, and FactCheck.org. They ended up with a data set of 126,000 news items that were shared 4.5 million times by 3 million people, which they then used to compare the spread of news that had been verified as true with the spread of stories shown to be false. They found that whereas the truth rarely reached more than 1000 Twitter users, the most pernicious false news stories … routinely reached well over 10,000 people. False news propagated faster and wider for all forms of news—but the problem was particularly evident for political news.”

More here.

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