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by cobertos
19 days ago
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Would be nice to see something referral based. If you don't like X, block them. If X invited Y and Z and their invites behave poorly, you can block the whole tree. Kinda like lobste.rs referrals but for wider internet I guess the correlary would be like how you can block an entire ASN if you find a lot of abuse from it, but at the human-network level. |
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Aside from social dynamics, a chief issue is that if you're relying on this as a mechanism for content filtering, personal relations have low predictive value.
E.g., I may really like a person's content, but not their curation or referrals to other accounts. Conversely, I might not care for a person, but their recommendations may be excellent. More common might be the case that a given account produces little or no content of their own, but makes reliably predictable (either good or bad) recommendations, which would be useful for further filtering. Or the highly verbose individual who emits a constant stream of near-drek, but an occasional diamond.
Content production, content curation, and talent spotting are all distinct skills. Success or lack in any one says little about the others. This is where Bayesian indicators (including relationships and referrer / invite relations) would probably be more robust.
That said, tainting an entire invite tree is likely useful, with a caveat that if a particular invitee has an independent, untainted, relation, they might be worth following.
In practice what I've found most useful is to have a pretty tight primary list of follows, ~50 or fewer, and a slightly broader secondary list. Allow recommendations be default (that is, re-shares / boosts), but curtail those too if problematic. Be quite liberal in blocking / muting anything in the least bit annoying or problematic.
Or participate in a selective group with excellent moderation. HN isn't quite there, but it approaches this ideal more closely than any other major forum I'm aware of presently.