> There's no way around the need for moderator intervention on a site like HN—the clue is in the word 'moderator' itself: left to its own devices the system runs to extremes and it needs a negative feedback loop to dampen it.
Uh... not really?
Left to its own devices, the system will include both extremes and non-extremes. In order to cut extremes out you have to sample what the extremes are, detect them and then minimize them.
The sampling comes by letting extremes pop up. The detection comes by letting users tag stories by content and emotional weight. You can minimize them with moderation tags and meta-moderation flags and automating balancing algorithms.
Currently you support story flagging, comment flagging, up/down voting. You have no way to identify what the significance of these are, though. Without better tools for your community maintain itself, of course you need moderators. But there are simple ways around this that would cut most of the moderation out and allow the system to simply re-weight stories as they become more obviously extreme in one or multiple tag/flag configurations.
Here are the categories of the 30 newest stories at time of writing: social media, privacy, programming, sysadmin, espionage, consumer products, politics, health, games, science. The stories vary in emotional rating (1-5, meh -> i am upset). As tags come in for any given story, trends emerge about how that story is perceived: it is relatively emotional, it is political and science based, and it is upvoted very quickly. Clearly, this is more likely to be controversal than the low-emotion programming topic that takes an hour to reach front page, so the latter should get higher priority, because it is less controversial and more "important to HN".
Notice that no moderator is needed to figure out what is controversial and change the balance, and we didn't even need to do something complicated like analyze speech patterns in comments or story content.
Assuming they have basic protections to stop malicious users massively-downvoting stories they don't like? The number of [real] users rating the story improves the balance, and you can use the same system they do now to prevent voting by brand-new users, things like that.
Uh... not really?
Left to its own devices, the system will include both extremes and non-extremes. In order to cut extremes out you have to sample what the extremes are, detect them and then minimize them.
The sampling comes by letting extremes pop up. The detection comes by letting users tag stories by content and emotional weight. You can minimize them with moderation tags and meta-moderation flags and automating balancing algorithms.
Currently you support story flagging, comment flagging, up/down voting. You have no way to identify what the significance of these are, though. Without better tools for your community maintain itself, of course you need moderators. But there are simple ways around this that would cut most of the moderation out and allow the system to simply re-weight stories as they become more obviously extreme in one or multiple tag/flag configurations.
Here are the categories of the 30 newest stories at time of writing: social media, privacy, programming, sysadmin, espionage, consumer products, politics, health, games, science. The stories vary in emotional rating (1-5, meh -> i am upset). As tags come in for any given story, trends emerge about how that story is perceived: it is relatively emotional, it is political and science based, and it is upvoted very quickly. Clearly, this is more likely to be controversal than the low-emotion programming topic that takes an hour to reach front page, so the latter should get higher priority, because it is less controversial and more "important to HN".
Notice that no moderator is needed to figure out what is controversial and change the balance, and we didn't even need to do something complicated like analyze speech patterns in comments or story content.