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Facebook tried the automated system by using employees to train the machine. It failed. They returned to non Facebook employed humans doing the moderation
by intended 8y ago
Facebook tried the automated system by using employees to train the machine. It failed.
They returned to non Facebook employed humans doing the moderation
- rock_hard 8y agoI read somewhere that it’s actually a hybrid approach! For some things liken nudity ML based solution work fine. But other things such as hate speech are more nuanced and require human oversight. That said ML is used everywhere possible to flag content to moderators. For some categories the work of human moderators is used to train the ML models. Facebook and other companies like YouTube are well insentivized to do the right thing here and automate as much as possible for all the reasons outlined in OP
- fencepost 8y agoOne thing I hope they're doing is advanced detection of duplicate inappropriate content - e.g. by splitting a confirmed properly blocked video into frames and identifying matching videos based on frames matching (or even key parts of frames). You'd still have to investigate/review partial matches, but something like that could cut down a lot on duplicate effort and could auto-identify a lot of things that would need manual review.