Or even in a volume that will have significant effects on results. 4chan zealots will sit there and do a bunch of rote stuff manually if they think it'll affect someone, if automation isn't possible.
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Situations where attacker can control or supply inputs but only in limited volume are relatively few - mostly involve paying money or link to an established identity.
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I suppose cleaning the datasets after detection is easier when there's some auth/id. Doesn't stop these things from happening, and having effects before detection. I think in the coming arms race of ML vs disinfo, companies have to improve their feedback loops
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If Goog et al want their ML based interfaces to stay unmolested, will need to regularly self-test using whatever's new in news + contentious words like "jew" etc. Doesn't seem easy to automate, since it's a battle against an adapting adversary.
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Acquiring access to forums where disinfo campaigns are planned (e.g. discords for alt-righters) may be a doable but very contentious idea. Would probably only work short term until they go decentralized, and would reduce trust elsewhere.
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The whole point of my initial tweet was that all the ML they're doing is wrong. Kill recommended searches. Kill recommended videos. Even kill pagerank.
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Of course Google won't do any of that because they profit from it. The point is that they're stuck profiting from doing something inherently wrong/buggy/vulnerable to attack.
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Sort content by factual correctness and relevance to search topic, not by popularity contests.
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... I tell my daughter this every day. "Don't trust what I say, go ask other people." :-)
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Well hopefully you're not the attacker, and there's a bound on the amount of input you can supply... ;-)
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Sure, I'm being facetious. Comparing ML to raising children. Analogies abound though.
End of conversation
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