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Indeed. Personally I think we could solve a lot of our problems by offering users robust content filtering controls and teaching people to use them as a basic life skill.


Bullies don't stop when a few people ignore them. That just creates an echo chamber, and they get more bold.

Bullies stop when you punch them in the nose.

Offering people "content filtering controls" might work in a small population where bullies could get ignored completely after a short time, but IME it doesn't even work then. What does work is when the community stops them cold by banning them.

But not everyone is a bully, so the system needs to be more nuanced than that, with warnings and lesser punishments before the final ban.

Personal filters are a good thing because it allows people to go beyond the rules and filter out things that bother them personally, and even to stop the bullying personally while the community works out that the bully will not stop. But it's the first step, not the last.


How do you categorise content though? You seem to think it's an easy problem..


It doesn't have to be that complicated. Blacklist certain words and phrases. In this case, the people are being sent videos of a murder. Silently block all media content from non-whitelisted users, or any video that falls within a certain range of lengths. On a larger scale, content filtering rules can get more complicated and can be collaborated upon and shared. If we can do it with advertisements we can do it with offensive content.


Blocking users is useless, they will make new account.

Blocking words is useless, they will use fake words.

Block on hash is useless, they will distort the video to generate new hash.


I'm not sure any of the those points is true always, and at the very least will raise the bar slightly. Blocking on a naive hash wouldn't work, but there are more sophisticated video matching algorithm. If they're good enough to be applied to DMCA type content, this seems like a higher priority.




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