Hey! Thanks to the whole Reddit mess, I’ve discovered the fediverse and its increidible wonders and I’m lovin’ it :D
I’ve seen another post about karma, and after reading the comments, I can see there is a strong opinion against it (which I do share). I’d love to hear your opinions, what other method/s would you guys implement? If any ofc
This is why it’s useful at the account level. It’s also useful at the post level in order to build a sorting algorithm which raises the most engaging/important/interesting submissions to the top. Within a community it is important to help define what that community is - irrelevant and low effort content is suppressed and relevant/high-effort gets boosted. Moderators can enforce this by just removing and pinning too, but that’s almost always too unilateral, and the voting system is generally better because it’s expected that then you get a representation of how people in that community feel about it. It’s a good system.
I can imagine some tweaks to help improve how karma is implemented:
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Use Bayesan Inference to produce a ‘shit/shinola score’ for contributors instead simple up/down vote totals
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Experiment with different recency biases for the score; you can trust that people will change over time
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Generally figure out what you’ll be using karma for and make sure you have a way to measure how well it’s working
I’ve googled Bayesan Interference, however I don’t understand what you meant by it. Could you elaborate please :)
Here is a good general explanation of Bayesian inference.
I think @jayrhacker@kbin.social is suggesting using such techniques to predict “troll” or “not troll” given the posting history/removed comments/etc. My personal thought is that whatever system replaces karma, it should be understandable to the typical user. I think its possible Bayesian inference could be used in developing the system, but the end system should be explainable without it.
