Two computer science students create tool to detect “bots” on Twitter
Two computer science students created a Google Chrome extension that when clicked tells you if a Twitter user appears to be a bot or not. They claim it has 93.5% accuracy[1] (but see the footnote for a hint at some of the problems in how they came to that conclusion). It uses “machine learning” technology to attempt to identify Twitter accounts that may be automated “propaganda” accounts. Per the article, their classifier was trained using Tweets identified as left or…