Zaman's team then tracked about 647,000 of the accounts for several months, and by September 2015, Twitter had suspended roughly 35,000 of them—presumably because those users had posted extremist content. So the researchers used AI to identify typical features of suspended accounts. For example, following certain users or concealing one's location was linked to a higher likelihood of extremism.
