AI Can Distinguish Between Bots, Humans Based on Twitter Activity

Artificial intelligence is being used to spot the difference between human users and fake accounts on Twitter. Researchers at the University of Southern California (USC) have trained an artificial intelligence system to detect Twitter bots based on differences in the patterns of Tweeting activity of real and fake accounts. The researchers analyzed two separate datasets of Twitter users, which were classified manually or by a pre-existing algorithm as either bot or human. The manually verified data set included 8.4 million tweets from 3,500 human accounts, and 3.4 million tweets from 5,000 bots. The team found that human users replied between four and five times more frequently to other tweets than bots did.