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Re:Are popular toxicity models simply profanity detectors? by AnthonyMouse on Wednesday January 26, 2022 @11:49AM (#30087910)
> E.g. if judging tweets for example you'd presumably do a lot better if you evaluated the tweets in context of followers and in context of past tweets - both recent and the accounts history.

Must never use followers. Or anything else the account holder has no control over. Otherwise you'll end up with the same kind of SEO problems where competitors and foreign governments create fake accounts to follow or interact with disfavored ones and destroy their algorithmic reputation.

Guilt by association in general is malice. Someone who regularly interacts with white supremacists might be a white supremacist -- and maybe 90% of them are -- but it could also be someone criticizing, mocking or debunking them. And if it gets out that the algorithm is penalizing people for doing that, they'll stop. Which is very bad.

Re:Are popular toxicity models simply profanity detectors? by Talanes on Thursday January 27, 2022 @09:49PM (#30110170)
Even using who an account follows incentivizes echo chambers, more than they already are.

I specifically follow a few locals that I would often notice upset with the same politicians that I was, but for diametrically different reasons. Even though I disagree with them on most everything, I find value in having a few of those voices on my feed visibly attached to a consistent person. It helps me to resist seeing the "other side" as just an impersonal sea of voices.