It may not be chance that some of the first efforts by tech companies to censor "misinformation" have gotten it wrong. This is a harder problem than most people realize. Impossibly hard, at the edges. And this is not the sort of problem where the edges don't matter.
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What does "getting it right" look like?
Deciding what's true and what's false, which gets extremely hard at the edges.
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True and false is not the only important distinction. There is also safe vs dangerous. A lie that is almost true but very dangerous is worse than a lie which is obviously false but harmless.
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"Misinformation" is not primarily about true or false. True information can be presented in misleading ways as misinformation, and false information may be entirely intended to be true.
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unidirectionally deciding what's good and what's bad can never be good
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The key is to give people the ability to make up their own mind. To untangle the mess on those edges we need technology that facilitates the emergence of shared, not correct, truth by increasing the exchange of subjective perspectives on web content. It'll be an iterative process
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The issue is that all these decisions are inheritantly political. WHO's own guidelines were not even factually accurate (they were correctly made for other reasons but communicated dishonestly due to the selfishness of the masses imo). How do you decide truth in such a case?
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The filter itself is the problem. Leave the edge at the edge, but don’t try filter;https://knightcolumbia.org/content/protocols-not-platforms-a-technological-approach-to-free-speech …
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If you hadn't been honestly wrong for a period of time about anything you could think a computer can get the truth about subjective and contingent issues. I don't get why you think AI can be good at this.
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Besides that sometimes AI has been good at picking politically incorrect facts and then it has to be "reeducated" to prevent "bias". Don't trust tech people to have common sense.
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