I made a robot moderator. It models trust flow through a network that’s made of voting patterns, and detects people and posts/comments that are accumulating a large amount of “negative trust,” so to speak.
In its current form, it is supposed to run autonomously. In practice, I have to step in and fix some of its boo-boos when it makes them, which happens sometimes but not very often.
I think it’s working well enough at this point that I’d like to experiment with a mode where it can form an assistant to an existing moderation team, instead of taking its own actions. I’m thinking about making it auto-report suspect comments, instead of autonomously deleting them. There are other modes that might be useful, but that might be a good place to start out. Is anyone interested in trying the experiment in one of your communities? I’m pretty confident that at this point it can ease moderation load without causing many problems.
I must say I don’t like the idea of a social-credit-score bot.
Regarding your implementation, I saw the summary of your own comments elsewhere in this post and I noticed all the annotations were on upvoted/blue segments. Other summaries you posted focused more on negative/red segments. Would it be possible to enforce a minimum of 1 or 2 from both categories?
Also, would you be kind enough to read my tea leaves? Am I an acceptable citizen of the Lemmy community?