With sufficiently complex systems to detect fraud, such as AI or that involve constraint optimisers, it is not always doable to isolate a single, clear parameter that is responsible for the data to be flagged. This is an issue also for them (source: been working on several complex rule based systems that exhibited this very problem).
As for the human powered appeal process, how to design it so that it is not spammed/abused as easily as the upload?
It's easy to explain everything away because of evil corporation, but those are also actual technical issues.
As for the human powered appeal process, how to design it so that it is not spammed/abused as easily as the upload?
It's easy to explain everything away because of evil corporation, but those are also actual technical issues.