I think tech to deal with fake news will emerge in coming years, like effective filters emerged to cope with spam ten years ago. #Bayesian
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Replying to @NAChristakis
I'll create the classifier for you, if you can come up with a definition of fake news everyone would agree with!
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Replying to @kinggary
We have some ideas. But they don't rely on content (except for fake news sites). My suspicion is that combination methods needed
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Replying to @NAChristakis @kinggary
not clear prob 2b solved by consumer tech. everyone think others are ones who read fake news. FB/Google can do more.
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Replying to @BrendanNyhan @NAChristakis
what would you want fb/google to do? Self-appointed journalistic fact checkers don't even agree with each other.
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They can demonetize the spam-like version of it, which is quite common, to begin with.
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They can use the "related" and "trending" parts to balance out with more credible sources.
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They can use metadata to ferret out less credible sources (like they do with spam) and dampen.
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They can tweak algorithms (Youtube, too) to lessen the echo chamber effect—quite strong at the moment.
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Right now, if you watch something on Youtube, you get suggested a "harder" core version, for example.
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There is certainly a complex ecology of misinformation but platform policies are part of the fuel.
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+1 on these last points. Gen'ly there is likely sig & avoidable platform algor amplification.
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