It is hard for algorithms to understand words like "data-driven political journalism that is slightly left leaning," and, but easier to understand "stuff like this couple of Nate Silver article." So for the short term, I think we'll continue to need positive and negative examples to really get topics good for people, but someday I'd love to figure it all out from NLP parsing a general description.