It's pretty incredible honestly how confused this policy has ended up being, given how long everyone had to plan for ithttps://www.nytimes.com/2020/10/16/technology/twitter-new-york-post.html …
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Ultimately, the problem is the *actual* principle at play here is "this looks awfully 2016-y and we are hyper-focused on what went wrong in 2016 and not doing 2016-y things again", and then trying to retrofit some kind of coherent actual principle on top of that.
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Coming up with a coherent and consistent policy that gets you to "this was bad" but "NYT tax return story is good" without jumping through bizarre technicality hoops or conceding tech companies should decide which stories and/or publishers qualify as "journalism" is super hard.
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Something like a label saying "there are credible third-party reports [+ news link] that this story may include false or intentionally distorted information designed to influence the election" is probably a better approach than randomly flip-flopping on which links users can post
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Then you end up with a policy that's (a) closer to your real principle that it's too 2016-y for comfort, rather than silly hoops like "this might have been hacked, no wait, phone numbers, no wait, um, something else" hoops and (b) less likely to Streisand yourself over it.
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However you do it tho, I think you need to explicitly distinguish news/news-ish sites that have editors and a named journalist/pseudo-journalist author (even if the article is bad and those editors are wrong) from anonymous posts originating from your own users / anonymous sites.
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The trade-offs start to look really different when you're explicitly overruling the editorial judgement of a news agency that the article should not be viewed and doesn't qualify as real journalism compared with curating organic content on your platform.
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curating organic content
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