Earlier quoted context omitted.
I think that incentive idea is great, and is a smart move to build a community, particularly when you're trying to draw subject matter experts. I like how some of the Ask reddits do it, by flagging people with verified advanced degrees. People think that news sites are afraid of conflicting opinions, but in my experience that's nonsense, it just has to be well thought out and not "DEATH TO ", which is the vast majori…
Thanks for your reply! >I think that incentive [is good], particularly when you're trying to draw subject matter experts. You bring up an excellent point. One of the fundamental problems with comments, I think, is that it creates a space in which ignorance and expertise are equally-weighted. In fact, it's often worse than that for reasons we all know: interesting issues are hard to distill into 300-or-so characters,…
The cultural issue is that many news orgs are still run by people for whom the idea that technology could accidentally censor a valid criticism or ban a decent voice is just too risky. I think this is changing, and many newsrooms today a little more fluid than when I really cared about the problem 4 years ago.
The tech issue is a little bit of a cop out on my part. An ML approach is super attractive to me as a techie. Google (youtube), facebook, NYT, WaPO, and tons of other billion dollar orgs have this problem, and could loads of money by being seen as better communities.
On the more guerrilla side, hundreds of subreddits have automoderaters written by savvy, caring moderators.
They have terabytes of training data, already tagged, and world class ML experts on staff. If it was a tractable problem with business value, why wouldn't they have fixed it? I'm guessing it's the sort of thing that looks doable from the surface, but you get buried in the details.
Again, cop out answer, so please go prove me wrong!!