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AI bots, on the other hand, will do whatever you tell them to, practically for free. So researchers are starting to use chatbots as fake people from whom they can extract data about real people. In July 2020, Facebook introduced a walled-off simulation of itself, populated with millions of AI bots, to study online toxicity. His team created hundreds of personas for its Twitter bots — telling each one things like "you are a male, middle-income, evangelical Protestant who loves Republicans, Donald Trump, the NRA, and Christian fundamentalists." Scientists create experiments to be simpler than reality, to offer explanatory power uncomplicated by the messiness of real life.
Persons: chatbots, Donald Trump, Petter Törnberg, Törnberg, Emma, Terry Crews, mindlessly, we've, LLMs, Lisa Argyle, Joon, he's, Smallville's café, messier, it's, sims, Adam Rogers Organizations: ABC News, CNN, New York Times, Twitter, Institute, Logic, University of Amsterdam, Columbia University, Facebook, NRA, American, Election, Democratic, Chamber Twitter, Brigham Young University, Stanford University Locations: Alabama
The conventional wisdom blames social media for the widening divide because the timing lines up. Maybe the problem isn't that social media has driven us all into like-minded bubbles. Maybe it's that social media has obliterated the bubbles we've all lived in for centuries. On top of that, Törnberg adds, there's the way people react to all the new ideas that social media exposes them to. And as one leading social media and polarization researcher told me, the model is not empirical, which makes it hard to test.
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