> It's lots of outrage & negativity, and I imagine it's because that's the kind of article people are actually reading & sharing, so that's what feeds the recommendation algorithms

I would think a ML model could fairly accurately judge the level to which articles are written in an intentionally inflammatory way, I would like to see tech companies start to make a sincere effort to allow users set an adjustable filter on this "inflammatory-ranking" dimension of the content in their feed.