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According to Wired (This article and its images were originally posted on Wired February 8, 2019 at 07:06AM.)
Since the world learned of state-sponsored campaigns to spread disinformation on social media and sway the 2016 election, Twitter has scrambled to rein in the bots and trolls polluting its platform. But when it comes to the larger problem of automated accounts on Twitter designed to spread spam and scams, inflate follower counts, and game trending topics, one study argues that the company still isn’t keeping up with the deluge of garbage and abuse.
In fact, the paper’s two researchers write that with a machine learning approach they developed themselves, they could identify abusive accounts in far greater volumes and faster than Twitter does—often flagging the accounts months before Twitter spotted and banned them.
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