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I'd say that most distinctively trust is a belief, so it needs a starting point (iirc that's what we had - trust flows from central points.) Reputation, how I see it, is more factual and measurable. Its not based on a belief but on merit. You build and lose it over time, but its not hierarchical. So your reputation doesn't have to influence mine in our interactions.

I understand that that doesn't solve the Sybil problem on its own though. I think John had written something about that not too long ago, but that was localized signal instead of globalized - and inherently still based on trust because of a LinkedIn style "connection of connection" legitimization. I don't think that that is suitable for a globalized "commons" approach, because the bias starts where the trust starts.

So I'm thinking a matrix more than a tree?

92 sats \ 3 replies \ @k00b 9 Apr

I get you.

So an example of reputation might be: your zaps/boosts have limited power until your account total_earned_zaps - total_earned_downzaps > 100k?

And that's better because that's not as subjective.

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Maybe! If it decays.

With evergreen features, the best posts ever written would still generate reputation through the years. But full glory must belong to the young (just not too young)

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Maybe a good time to revive some old collaborative filtering ideas I've had?

https://github.com/stackernews/stacker.news/discussions/2648

These methods allow you to construct similarity scores between posters and and between items, and individually preference rank items by posters.

Doesn't solve the problem of people with no data behind them, but their rankings could be some social aggregate using people with more data.

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68 sats \ 0 replies \ @k00b 9 Apr

If we start experimenting with personalization again, I'll for sure seek your input. Right now at least, I'm biased toward proving/ruling out solutions that are explainable to a five-year-old that provide a relatively raw commons worth inhabiting.

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