i.e. only surface stories posted by or upvoted by those you trust, and the inverse with those you distrust.
Then exponentially drop off trust transitively and it could be almost workable.
i.e. only surface stories posted by or upvoted by those you trust, and the inverse with those you distrust.
Then exponentially drop off trust transitively and it could be almost workable.
Background on the "trust metric" implemented on the site: https://web.archive.org/web/20160304000542/https://advogato....
Apparently my account on the site is/was now more than a quarter of a century old... Gonna try to avoid thinking on that too deeply. :D
There's been a non-zero number of occasions since that time where I've observed situations that mirror the trust-based challenges Advogato sought to solve.
It is perhaps telling that as prescient as Raph's work on trust metrics was he later moved on to the notoriously challenging realm of font rendering--presumably because it seemed more tractable. :D
Most I have encountered (generally via referral tracking) are heavily curated centrally though, and not by users.
X vs BlueSky is a thing after all. Reddit, wikipedia etc. are just farcical.
Like Facebook/Linkedin?
Linkedin more so than facebook, facebook shows list of common contacts, linkedin shows that plus a literal resume.
Computers are about automation.
More concretely the ideal software would require a volume and speed of user input that is unfeasible, and the size and complexity of such software would balloon such that development and maintenance costs would be unfeasible, furthermore the more features, the more customization users want, so customization is an additional dimension.
But sure, go make a system that reads my mind and decides whether I want to trust a USER to do SOMETHING.