Submitted by PartisanPlayground t3_10nfwir in dataisbeautiful
i_build_minds t1_j69ncsb wrote
Reply to comment by PartisanPlayground in [OC] How news stories evolve in the news cycle by PartisanPlayground
I would regularly check a website with this data - particularly as a news site aggregator (x topic prev, y claims common in all or more than 75% of sources, etc)
PartisanPlayground OP t1_j69r2qg wrote
I'm producing this daily in a Substack newsletter: https://partisanplayground.substack.com
i_build_minds t1_j6a0fmt wrote
Nice. Can I recommend this is just a big landing page with the top 10-15 articles or something?
It's easier to critique than to create - so no discourtesy intended - but that's basically my new homepage.
PartisanPlayground OP t1_j6a0zlr wrote
I've had the same idea. It'd be pretty cool to have this as a big landing page, where hovering over each story on the plot gave you details about the story and links to articles.
i_build_minds t1_j6aoh0g wrote
Yes! I'll continue to check it out but I hope your idea comes to fruition. It's fantastic.
PD216ohio t1_j6by3tg wrote
I noticed that from Jan 24-25 the title of the top story changed from Biden Documents to Classified documents. Was this because the subject of the discussion shifted in the media, or was the title changed for another reason. It is still the same "line" of the graph, just renamed.
PartisanPlayground OP t1_j6cktep wrote
That's right, the labels can change over time as the discussion shifts. GPT-3 does the labeling and I manually adjust it, if necessary. Occasionally, the stories themselves can split or combine.
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