The recommendation engine methods: content you do not follow shows up, and you are likely to engage in it based on statistical models. Big tech is pushing this more and more.
Search: you specifically attempt to find what you're looking for through some search capability. Big tech is pushing against this more and more.

In my opinion, the fediverse covers #1 well already. But #1 has a bubble effect. Your followees are less likely to share something very drastically different from what you already have.

The fediverse is principally opposed to #2, at least the way it is done in big tech. But maybe some variation of it could be done well.

#3 is a big weakness for fediverse. But I am curious how it would ideally manifest. Would it be full text search? Semantic search? Or something with more machine learning?

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[–] Endymion_Mallorn@kbin.melroy.org 1 points 1 day ago

When I say "feed", I mean the general homepage I see when I log into my account, rather than my Subscribed, Following, etc. views. I understand your concern, but if other related communities don't suit you, then you're free to block them as they come up. I think a ratio of 4 "in-bubble" to 1 "related" post would be fair. Maybe there could even be a slider somewhere depending on your software.

One of the few reasons I've never minded that part of the presentation on larger social media sites is that they operate on an opt-out model compared to the fediverse's (current) opt-in model. But I think there's enough transparency in "you like memes@fedia.io, here's content from other groups we know with names containing 'memes'".

I may have to try out Quiblr, but I strongly prefer kbin/mbin to Lemmy, because I enjoy interacting with both the microblog side and the thread side of the fediverse on a single account. If mbin ever gets a video tab (for Loops & PeerTube), I'm going to jump for joy.