I would need to see skew not present in other mainstream publications. WaPo and NyTimes coverage, for example, or even NPR, none of it significantly varies.
Look up criticism of all the newsrooms I mentioned and there’s plenty from internal or ex-reporters. “Bezos pressures us” is not one from WaPo journalists. So, I would need to see a shred of evidence, basically. Word of mouth, reporting discrepancies… something besides memes
What makes sense to me is a sentiment classifier that could measure how negative or positive a given story is, and look for the centroids of the positive and negative clusters.
I would need to see skew not present in other mainstream publications. WaPo and NyTimes coverage, for example, or even NPR, none of it significantly varies.
Look up criticism of all the newsrooms I mentioned and there’s plenty from internal or ex-reporters. “Bezos pressures us” is not one from WaPo journalists. So, I would need to see a shred of evidence, basically. Word of mouth, reporting discrepancies… something besides memes
I think that’s a pretty reasonable ask.
What makes sense to me is a sentiment classifier that could measure how negative or positive a given story is, and look for the centroids of the positive and negative clusters.