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Let’s not pretend there’s nothing that can be done just because you can’t automate it all away. In fact the automation is the problem in this case (filter bubbles, algorithms that promote extremist and conspiracy content, etc). Worst still is the confidence we place in automationhttps://twitter.com/balajis/status/1198727092835364864 …
You might take his point as illustrating the difficulty of determining truth. Ok, fine, it can be difficult. But again the current situation of actively promoting/filtering for intentionally crafted falsehoods and misinformation? That can be identified and dealt with.
Agreed. Has anyone run Twitter through @allen_ai 's http://grover.allenai.org fake news detector component? It'd be a fun exercise. Author @rown maybe knows… source to this magical creation here https://github.com/rowanz/grover
#NLProc
I really like that tools like this are being worked on. I suspect it’ll be many years before we can rely on them and I do worry that a focus only on tools and not the human element would just promote an automation arms race much like with captcha.
I guess the problem is not classification as he says. We can do that today. The problem is labeling the information. We do not have the measure or the scale to put statements on a spectrum of truth. Plus, it is a variant of time. So...
But we can start by not using algorithms that promote this garbage. That’s happening today and we know it’s a problem and why it’s happening. And then FaceBook can reverse course on the lying exception for political ads. Low hanging fruit.....
...and there are organizations who highlight misinformation very professionally; we can at least highlight their work (see also https://developers.google.com/search/docs/data-types/factcheck … )
I'm much less optimistic. If you we can write algorithms to distinguish falsehood from truth, then we can write algorithms to fool them. Also, the truth is not necessarily in the interest of whoever has the power to decide what people should see.
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