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by tillulen
676 days ago
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I would like to sort comments by the level of the author’s expertise in whatever they are discussing. HN is a goldmine, but finding valuable knowledge within heated or elaborate discussions requires too much commitment to read through everything. A weighted number of a comment’s upvotes is one signal. However, I can often tell when an author has deep knowledge or comprehensive experience with a subject just by reading their comment. Do you think it might be possible to automate that kind of judgment? |
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Diverging slightly: truth is not a popularity contest. The "wisdom of crowds" concept argues that crowds are, on average, more intelligent than individuals, even expert individuals. In practice ... crowds are subject to their own biases and failures. While uninformed (or lightly-informed) opinion may be better than no opinion, expert opinion tends to be superior to both ... though of course it is also subject to biases (co-option of motives, ideological and academic conservativism, etc.). Still, there are times when the popular winner is quite evidently not the most informative or relevant winner. Reddit is especially subject to this (and more so in the past couple of years than previously based on my very rare sojourns there).
Ultimately the question of a rating / moderation / ranking system is what do you want to optimise for? I'd written on this about a decade back now:
<https://web.archive.org/web/20200629055317/https://www.reddi...>
LLM AI seems like it might offer either a way of weighting individual votes in their appropriate areas of expertise, or offering its own assessment of relevance based on specific criteria (say: truth valance, significance, novelty). I still suspect it's not the sort of thing that's easily obtained. And is probably beyond the scope of an HN search tool.
But I love the suggestion.