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by DanHulton
2883 days ago
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From the article: “I'd emphasize that our technology is based on account behavior not the content of Tweets.” It sounds like it's an automated system attempting to de-emphasize certain uses of the platform, not someone standing there going "Okay, Republican? Shadowbanned. Next? Republican? Shadowbanned. Next?" i.e. if you don't want to be shadowbanned, maybe stop acting poorly. |
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That means first they identified many badly behaving accounts, trained their ML model to auto-detect other accounts behaving badly, and then banned them.
Of course, these ML models are famously hard to decipher.
The implication?
Twitter could choose to mention the criteria they used to select the original set of accounts they used to train their model (most likely it was accounts that had been manually banned in the past, these would have been bans which went unnoticed by the media) but they can't say "our model auto-bans accounts which do X, Y, and Z" because the logic used by the ML models is too obscure for any person to understand.