In Superforecasters, Tetlock describes one superforecaster as having built a collection of automated scripts and sources to get useful information from a variety of different sources and different perspectives. This seems very useful and I'd like to emulate it.
I'm looking for a generalizable approach where, given a specific topic (ex. AI) I can curate sources (ex. Twitter accounts) that maximizes diversity of points (ex. different perspectives on AI Alignment risk). I'd like to avoid the bias where I only use sources that are well known and popular, which seems particularly likely to happen in cases where I am not familiar with the field
I have a few different tactics in mind, but I haven't yet settled on a cohesive strategy, and am interested in suggestions, in particular if you've done this before.