Stacker News is perfectly positioned to break ranks with the dominant paradigm of social media and subvert the category by building in a model of domain authority in order to amplify content from people determined to be authorities within particular topics, which will increase the quality of the content even more (quality here is generally higher as it is, but I want to propose a more advanced solution).
PageRank: filtering out the noise is what Google did with PageRank, and SN should use the same algorithm to rank order posts and authors. Think of a back-link as a weak endorsement. Apply that to the SN context, and a zap is like a weak endorsement. Add layers of weak-strong endorsements and run the PageRank algorithm to identify people in the centre of communities, to distinguish them from spammers or noise-makers publishing lower quality content. The order of endorsement goes like this:
- follow (for a specific topic, e.g. bitcoin, so you only see their #bitcoin content if thats what you're interested in)
- endorsement (binary button, like follow but more explicitly an endorsement)
- explicit reference (e.g. " this person is a core/knots developer that I've personally worked with and they are a rockstar")
- zap - nothing beats directly sending someone money as an endorsement
Many things missing from the social web could then be built on this paradigm, including event aggregation, the last great problem of web 2.0.
This doesn't exist today only because it a paradigm in conflict with the ad funded model, not because of any major technical challenge.