1/ For a while (and still albeit less enthusiastically) I was looking to build what I called a computational immune system for twitter. Basically something that used blocking/muting automatically, propagated over a secondary graph to actively / adaptively reduce abuse and noise.https://twitter.com/AstroKatie/status/1148202304195223552 …
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2/ I'm nowhere near Katie's level of followers. But, at 15k, it's enough that I get trolled semi-regularly, so it's something I want. (To say nothing of the attention misspent on *seeing* conflicts / trolls on twitter.)
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3/ Thing is, I asked around to some accounts much bigger than mine, and Katie's framing appeared repeatedly. People with large followings who *don't* engage don't really care because they use their account as a broadcast channel.
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4/ And those who *do* engage? They expressed concern that the filters "would have to be really good" for fear of missed opportunities and unanswered questions.
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5/ Admittedly, it *is* a very hard problem. But, I've never felt the precision-recall tradeoff on a more visceral and personal level.
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