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An algorithm developed at Carnegie Mellon University makes it easier to determine if someone has faked an Amazon or Yelp review or if a politician with a suspiciously large number of Twitter followers might have bought and paid for that popularity.
The method, called FRAUDAR, marks the latest escalation in the cat-and-mouse game played by online fraudsters and the social media platforms that try to out them. In particular, the new algorithm makes it possible to see through camouflage that fraudsters use to make themselves look legitimate, said Christos Faloutsos, professor of machine learning and computer science.
In real-world experiments using Twitter data for 41.7 million users and 1.47 billion followers, FRAUDAR fingered more than 4,000 accounts not previously identified as fraudulent, including many that used known follower-buying services such as TweepMe and TweeterGetter.
Bad news for the nascent astroturfing industry.
(Score: 2) by Capt. Obvious on Friday September 09 2016, @06:12PM
I think is backed up by "....judge them however you see fit. I know I do, nodding, eager to hear more while silent about how much I'm judging them myself." It's highly probably that the disdain you have for their opinions is known, and you're not as good at dissembling as you think. Further, your swarmy judgement is not something they want to put up with.
I know a lot of people who are voting for Hillary, either because they liked her/her husband back in the 90's or because they want to vote against Trump. I know people who want to vote for Trump, either because he's an outsider/businessman or because "the Supreme Court must get a Republican to replace Scalia".