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So, something I find particularly annoying about hn is that you can segment it into very different subgroups that may or may not interact with a particular post. So you may find that in one thread, anti-hype sentiment is very high, and a more reasonable comment would be downvoted, and the next day the same anti-AI posts on another thread would get strongly downvoted because the thread is dominated by the hype people. It's far from being uniform, and since some people might feel that they risk to burn karma by entering the wrong thread there's an amount of self-censorship that makes this effect stronger.

Do you have something like that to manage the group dynamics?

Also in terms of personalities, I'm guessing the most appropriate way to get the list of prompts would be to run an analysis on the hn dataset to classify user behaviour patterns and create the prompts according to this. Since you can match these to posts in thread, you can also get a rough approximation of the dynamics distribution. Did you do such an analysis?





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