Man, I feel you on the affiliate link fluff. I actually ended up unsubscribing from the Popular Mechanics and Popular Science feeds because the signal to noise ratio was so bad.

The creator of Nunti provided a very good primer on the algorithm design here. Basically, you indicate to the app whether you like or dislike an article and then it does some keyword extraction in the background and tries to show you similar articles in the future. I suppose you might be able to dislike a bunch of the fluff and hope the filter picks up on it, but it isn’t really designed to support the kind of rules that would completely purge a certain type of content from your feed.

Most of the feeds I subscribe to came to me in one of two ways:

1. I enjoyed reading an article posted somewhere else (Lemmy, etc.) so I sought out the feed of that publisher.
2. Sometimes news outlets enter into agreements to republish each others articles. When they do this, the re-publisher will usually include a little blurb at the end giving credit to the original publisher. If a feed I’m already subscribed to has an article re-published from elsewhere then I click through and check out the original source to see if I want to follow them as well.

It can be as simple as just putting an app on your phone. I use feeder which is fine. Pretty bare bones, but in that way it’s easy to learn and use.

I’ve also been meaning to try out an app called Nunti, which I heard about a while ago from this Lemmy post. It claims to be an RSS reader with the added benefit of an (open source and fully local) algorithm to provide some light curation of your feed. It looks interesting, but I haven’t actually tried it out yet because I’m still deciding whether I want any algorithm curating my feed, even one as transparent as Nunti’s. It’s also only available through F-Droid right now, which is a bit of a barrier to entry.