Researchers studied 1.7 million posts made by 40 million web users . From this they divided people into two groups - Future-Banned Users ( FBUs ) and Never-Banned Users ( NBUs ) They built an algorithm that scans posts for signs of antisocial behaviour . Study shows this algorithm can identify potential trolls in 80 % of cases .
Researchers studied 40 million posts made by 1.7 million web users . From this they divided people into two groups - Future-Banned Users ( FBUs ) and Never-Banned Users ( NBUs ) They built an algorithm that scans posts for signs of antisocial behaviour . Study shows this algorithm can identify potential trolls in 80 % of cases .