this post was submitted on 24 Oct 2023
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The apis exists to perform moderation via a separate application, so in theory automated content moderation is possible, but most servers are relatively small and funding limited. This means there is little motivation to develop or adopt automated moderation.
The primary mechanism of moderation if by excluding people who break rules. Someone on your server breaks a rule, you ban them. They move somewhere else, they break your rules there and the mods over there don't care, so you exclude that instance from your server. (Defederate)
It's a simple but pretty effective system.
I think a kind of spider style bot that can be used to flag instances with high levels of rule breaking to suggest ban lists might be effective, but all automoderation comes with some level of error and we should be wary.
If APIs exists to perform moderation via a separate application, would it not be worthwhile for instances, or even concerned individuals and companies, to work together and create a single, common Mechanical Turk-style, or even (dare I say it) AI-based moderation SaaS that could also tie into the PhotoDNA system at scale?
Maybe, but who's paying? And why are they releasing it to the public for free?
Companies want to make money. Individuals want to spend as little as they can.
Many Companies are also more recently pushing back against opensource because they can't license how they want to to maximize profit. So there is a few companies who would pay for such a thing and all it opensource but not many and they have other priorities.
Maybe bluesky or whatever will care enough...
What do you mean? There’s tools out there already. Lemmy had one made recently that helps with CSAM. Plus the Fedi is always touting donations as the way so why wouldn’t people donate if funds are needed?
Thank you for your reply. Neat that there are already APIs which technically would enable some kind of automated moderation. But I understand that automation is critical. Especially since ML Algorithms have problems with context.