“@KarlMarxovChain” and “@MarkovChainMe” by Moacir P. de Sá Pereira

These two bots use Markov chain generators to produce tweets, but distinguish themselves from other bots by responding to input from those who interact with them via Twitter. (Click on the images below to visit their pages).

Screen capture from "@MarkovChainMe" by Moacir P. de Sá Pereira. Twitter profile of @MarkovChainMe displaying his two most recent tweets. Text: "If you @ me, I'll @ you a chain built from your most recent (100) tweets. If you "@markovchainme do @user", I'll use @user's tweets. @muziejesus wrote me. Probability Field / @ryansroberts sailing past on at work to me with names like "krusty" you'd have been getting everyone in real fucking waste of course / @rhmgroo care, rather actually provide care, rather than ignore care It is just a point. lie. and wish louise mensch would learn"
Open “@MarkovChainMe” by Moacir P. de Sá Pereira

“Markov Chain Me” is like a curved mirror that shows you a generated version of your Twitter identity. This is a fascinating way to analyze your own writing, getting a sense of what you’re likely to tweet about. Even better, you can direct it to analyze someone else’s tweets by using the phrase “do @——.” Hopefully my request that it “do” itself doesn’t cause it (or Twitter) to somehow implode. The response time is fairly quick and recognizable: one can sense the original voice in that tweet, which is part of what is so fascinating about the method.

Read more“@KarlMarxovChain” and “@MarkovChainMe” by Moacir P. de Sá Pereira