The Botometer is a simple single-serving website that reports whether any given Twitter account talks like a bot. It seems quite accurate, tracking not just the content but "sentiment" and its networking characteristics.
My account, @beschizza, has a "green" score of 38%, so I have passed my Twitter Voigt-Kampff test. But @boingboing scores 53%, perhaps reflecting its mix of human chatter and automated links to posts. (Trump also scores 53%, oddly enough.)
How should I interpret a bot score?
Roughly speaking, one can interpret a bot score as a likelihood that the user is a bot. As such, bot scores closer to the extreme values of 0% and 100% are more confident assertions of the account's bot-ness.
It's tempting to set some arbitrary threshold score and consider everything above that number a bot and everything below a human, but this is probably not the best way to think about it. Many accounts score in the "yellow" range of 40-60%. A middle-of-the-road score like this is a signal that our classifier is uncertain about the classification.
"WHAT YOU THINKING EUROPE? WANT BORING STUPID INTERNET? WANT MUSIC INDUSTRY INTERNET? WANT COPYRIGHT INTERNET? HULK SMASH CENSORSHIP. HULK SMASH SURVEILLANCE. HULK SMASH ARTICLE 13. #HULK #SMASH #ARTICLE13 #SAVEYOURINTERNET" - @PUBDOMAINHULK
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