Re:Diversity and Discrimination in Open Source
by dang on Tuesday June 26, 2018 @04:56PM
(#17403924)
The problem with publishing data on all that is that it wouldn't convince any of the people who care strongly about this either way. All it would do is pour fuel on the flamewars. I say this with high confidence based on past experiences.
Re:Diversity and Discrimination in Open Source
by belorn on Tuesday June 26, 2018 @05:15PM
(#17404062)
I would say in other flamewar topics, publishing data has had a net positive effect. For example, having some data on GPL vs BSD license usage has not killed the flame war but it has elevated some of the discussion. Similar for comparing install/download numbers of Vi vs Emacs. It is unlikely to cause anyone to "switch side" but it reduces the anecdotal noise and focus the discussion to either be about the strength and weaknesses of each side or to be about the data collection method.
I personally can't think of a single flamewar topic where data has poured fuel on the flame and made the discussion worse. Could be a failure of imagination of course but past experience has been clearly on the positive. I see however that the work is unlikely to be done by you all if you collectively don't think it is a good idea.
Re:Diversity and Discrimination in Open Source
by dang on Tuesday June 26, 2018 @05:50PM
(#17404275)
Those are good points! But I still don't see the upside. I think it would likely force us into spending even more attention on ideological matters, which already take up far more of our time and energy than they should. Just attempting (and repeatedly failing) to keep the peace here is at the limit of our resources and abilities. It takes time and energy away from other things we could be doing to improve HN. People don't often consider this opportunity cost, but it's on my mind a lot.
It would be lovely if someday you all made a statistic summery of how often moderation action is made on gender equality articles, "which side" the article is on, and what the moderation action was. A nice intern project that would at minimum give some data on the subject.
I suspect that it is partial possible to do from the outside using the API, and I have been tempted to do a bit of casual dig into how often dang comments his moderation with "I understand" or "I get what you ..." vs a more aggressive "do not do this again" or "you will get banned". It would naturally just measure the tone, but would again give some insight in how the moderation is spread on both sides.