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(+1)

If this becomes super successful in 6 months, what does that look like? I am interpreting "good", "bad", and "neutral" here to be not about the presentation, but the writing, but the content of the news. Like:

- "Trump declares war" -> most people in my bubble would say "bad"
- "They opened a new homeless shelter on this street" -> this might split "bad" vs "good", depending on whether you live on that street perhaps

Is your goal to be able to see kind of "who believes what" ? if so, I feel like your project can kind of act as a launch/prototype/pilot for Katt's "social media for egregores" https://itch.io/jam/-pitch-jam-/topic/6066872/virts-social-media-for-egregores

Like I think you can make a small prototype for this (where you login with twitter/bluesky, etc) and vote on a sample feed (let's say we pick 10 specific news items), and we see the bubbles form from that (and I can tweet it/share it with friends etc, to get a "wide sample"). From that we could get quite a good end-to-end test that would prove (1) this is valuable (2) there's demand for it (3) here's what it looks like when it works

First of all, thanks for reading and taking the time to comment.

Yes, good, bad, neutral is how the piece of news makes me feel, no te presentation of the event. Tho there is something interesting to do if I can identify two different presentations for the same piece of news: then I can study how different framing changes how people feel about the event reported.

Success would be being a widget that online media outlets embed in their articles, similarly to how they enable comments. 

Success would be people experimenting with the different timelines, "affinity news", "bridge news", and "opposite view news". I think this would play nicely with Bluesky feeds, for example.


thanks again! I will check out "social media for egregores"... looks fun