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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 Thexalon on Friday September 09 2016, @08:22PM
What exactly do you think the Clintons know how to do that should be kept so far away from the Oval Office? I mean, if they were going to pull something truly nefarious and dangerous, I'd think they'd have done so last time they were there late in Bill's last term.
The only thing that stops a bad guy with a compiler is a good guy with a compiler.
(Score: 2) by Phoenix666 on Saturday September 10 2016, @12:23AM
They are part and parcel of the Deep State corruption that has brought the country to ruin. They cannot be allowed to return to the Whitehouse. Trump's no paragon, but he might stop TPP and kick a few Wall Street bankers in the nuts. Hillary 100% won't.
Washington DC delenda est.