I got halfway through this opinion piece before it occurred to me that it might not be an opinion piece (it isn’t). Even with very low expectations, the language used by the paper of record continues to astonish me.https://www.nytimes.com/2019/11/29/nyregion/real-estate-industry-nyc.html …
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One a day would be a good start. Could be nothing more than a Twitter handle that links to an article pasted into Genius or a google doc
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Thats a great idea. Btw i loved your essay on Amazon.
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What would you use to identify slanted vs neutral language? Is there a sentiment analysis library or API? Grammarly seems to do a good job - did they build their sentiment analysis? Found these data sets: https://www.cs.uic.edu/~liub/FBS/sentiment-analysis.html …
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If someone hasn't done it already it would be cool to be able to do this to one article, give it a score, and then grade authors on their cumulative work. Some authors can build credibility for neutral journalism and maybe you could identify bad authors or publishers.
End of conversation
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Key challenge/secret sauce would be finding a way to prevent the community of editors from being hijacked by politically motivated bad actors.
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You should also overlay alternative choices for stories that matter - the bias inherent in that editorial selection is even more alarming
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Like...an Editor...

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This could probably be done now with an annotation tool like https://web.hypothes.is/ or https://dissenter.com by
@getongab aside from using@Genius of courseThanks. Twitter will use this to make your timeline better. UndoUndo
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Great idea. And Genius is a criminally underleveraged platform as your idea cleanly demonstrates
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