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Then visit Vancouver, Toronto, or Montreal and judge for yourself.

I particularly liked editing those filters to replace “fuck” with “duck” or “shit” with “holy explosive molten diarrhea”, but I digress.

I think autoflagging the post and warning them would be the best setup.

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Then someone would have to go out of their way to post a substitute bad word (which would get by the filter/warning.) If it’s still a problem, the normal flagging mechanism would handle it.

Again - the important thing here is that If you think an algorithm detects a suspicious phrase - why not detect it during the post composition phase and correct the problem then (“Hey you, we don’t use language like that around here!And if you are having problems with tons of people ignoring this warning, or intentionally dumping junk on a forum anyway, could you have the system automatically add, say, half of the flag points necessary to hide a post?This would: And if you are having problems with tons of people ignoring this warning, or intentionally dumping junk on a forum anyway, could you have the system automatically add, say, half of the flag points necessary to hide a post?Individuals who repeatedly violate these warnings are dealt with the same way as other violations (off topic, illegal, etc.): flags, hidden content, loss of trust, bans.Perhaps you’d get the effect you want if, instead, you just require trust level 1 to bypass the warning.” The purpose should be to educate the community as to standards, not pretend you can stamp out bad words. Train on posts flagged as “Inappropriate content” or something like that (negative data points by how many people scroll past it before it gets flagged, if ever), warn a user if their post is predicted to get flagged as inappropriate content, punish people who repeatedly post content which is later flagged as inappropriate despite being warned (the punishment for being flagged may suffice, but I think it would be useful to keep track of people who blatantly disregard standards vs. Experiment with what features to use to identify bad content; different algorithms may suit different forums better.

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