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AI can distinguish between bots and humans based on Twitter activity
- Artificial intelligence is being used to spot the difference between human users and fake accounts on Twitter
- Researchers found that human users replied between four and five times more often to other tweets than bots did
- Real users gradually become more interactive, with the fraction of replies increasing over the course of an hour-long session of Twitter use
By Donna Lu
Artificial intelligence is being used to spot the difference between human users and fake accounts on Twitter.
Emilio Ferrara at the University of Southern California and his colleagues have trained an AI to detect bots on Twitter based on differences in patterns of activity between real and fake accounts.
The team analysed two separate data sets of Twitter users, which had been classified either manually or by a pre-existing algorithm as either bot or human.
The manually verified data set consisted of 8.4 million tweets from 3500 human accounts, and 3.4 million tweets from 5000 bots.
The researchers found that human users replied between four and five times more often to other tweets than bots did. Real users gradually become more interactive, with the fraction of replies increasing over the course of an hour-long session of Twitter use.
The length of tweets by human users also decreased as sessions progressed. “The amount of information that is exchanged diminishes,†says Ferrara. He believes that the change may result from a cognitive depletion over time, in which people become less likely to expend mental effort composing original content.
Bots, on the other hand, show no changes in their interactivity or the length of information they tweet over time.
Tags: AI, bot, CSE, datametrex, fake news