Companies are, of course, developing ML solutions for content moderation. What could go wrong?
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Certainly can’t be done by relying on algorithms. Humans are they key -& expensive - essential
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The crux of my argument during the Leslie Jones debacle. Little has changed since then. Well-meaning people demanding something platforms can't really do, not without compromising their very existence. "But do something!" tends to be bad advice. https://medium.com/@JuanIsidro/last-night-female-actor-leslie-jones-signed-off-twitter-due-to-the-overwhelming-amount-of-racist-47e3a95ec1d7 …
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How are we deciding if moderation is done well or poorly? There are lots of examples of poor moderation, but do we know how strong a trend they represent? For every moderation mistake fb makes, how many does it get right?
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The only way to do anything "cheap" well at scale is decentralizing.
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And all too often, "moderation" simply means removing posts that have attracted a small number of flags. That makes it easy for opponents to game the moderation system, as is the case here.
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Has anyone talked seriously about investing in moderation as a competitive advantage? Actually being able to market the fact you can trust what you see? I realize FB is a monopoly but it also has an NPS of -27 which suggests vulnerability.
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I get why (1) is true for social networks that exist today. But I don't get why it's necessarily true. Why couldn't some other network come along and employ a design that makes content moderation sustainable if not cheap? Network effects make it hard, but obvs not impossible.
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I think this statement is also wrong. Moderation technically doesn’t work at any scale. It is just well-tolerated by smaller groups who develop tribal feelings. Their group vs others. That doesn’t mean “moderation worked” to me.
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Any online community that cares more about community than eyeballs should put forth the human effort that this requires.
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