this post was submitted on 25 Jun 2023
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No Stupid Questions

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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

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[–] [email protected] 1 points 1 year ago (1 children)

I can imagine some tweaks to help improve how karma is implemented:

  • Use Bayesan Inference to produce a 'shit/shinola score' for contributors instead simple up/down vote totals

  • Experiment with different recency biases for the score; you can trust that people will change over time

  • Generally figure out what you'll be using karma for and make sure you have a way to measure how well it's working

[–] [email protected] 1 points 1 year ago (1 children)

I’ve googled Bayesan Interference, however I don’t understand what you meant by it. Could you elaborate please :)

[–] [email protected] 1 points 1 year ago (1 children)

Here is a good general explanation of Bayesian inference.

I think @[email protected] 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.

[–] [email protected] 1 points 1 year ago (1 children)

Thanks for the link. To anyone that does’t know about Bayesian inference, do check it out!

Now I have an existencial crisis thanks to the video 😂 the funny part is that thats the same thing used to detect spam email…

[–] [email protected] 1 points 1 year ago (1 children)

Spam detectors are pretty opaque by their nature. In contrast, karma is pretty easy to understand: "x number of people upvoted comments or posts from this user". This lets people understand a score even if they don't agree. If a karma replacement behaved like a spam detector, it would probably just annoy people.

Sporting brackets may be a better analogy. They are developed with statistics in mind but are understandable to the average sports fan. I think a karma replacement should have similar properties.

[–] [email protected] 0 points 1 year ago (1 children)

That sounds awesome! You seem to be quite knowledgeable about mathematics. May I ask what is your background?

[–] [email protected] 2 points 1 year ago

Computer science. However, statistics is more of a hobby than anything. I am just intrigued by the idea of federated social media in general so I have thought a bit on how I would personally make it work. Perhaps I will make some more in depth blog posts about my ideas at some point.