For any social network, not just a federated one.

My thoughts: The way it works in big tech social networks is like this:

  1. **The organic methods: **
  • your followee shares something from a poster you don’t follow
  • someone you don’t follow comments on a post from someone you follow
  • you join a group or community and find others you currently don’t follow
  1. 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.
  2. 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?

  • Endymion_Mallorn@kbin.melroy.org
    3·
    8 hours ago

    Given the way things are in my perspective, what I want on mbin & lemmy is somewhere like a mix of 1 & 2, with 3 as a solid option. I know that the torches and pitchforks are about to come out, but I’ll try to outline the way I see it.

    When I’m in a meme-scrolling mood, I have to look up meme magazines / communities to start (Method #3). Fine, that’s working as intended. Obviously that will lead naturally to Method #1; as I subscribe and gradually follow other posters, my bubble will grow.

    But what I want for the ‘threadiverse’ is a more unified suggested page. If I’m in, let’s say, memes@lemmy.world, I’d like to also have my feed show content from memes@fedia.io, or lemm.ee, or whatever other threadiverse instances that my chosen instance is federating with. I’d also like to see “subject memes” on my meme feed as a default - Science Memes, Star Trek Memes, etc… That falls under Method #2 - because I want the software to predict that because I’ve subscribed to memes@*, and interacted with content from memes@*+1, that I will also like *memes*@*. Obviously this could also be a matter of tagging and magazine integration, but that’s something that would help the fediverse feel more united and less daunting for people.

    Obviously dealing with the microblog side, mandatory tags or some form of community selection would be great to help out. It would be nice to see more microblog entries from Mastodon, Misskey, Pleroma, etc., sorted into magazine-like collections by tags.

    • matcha_addictOPEnglish
      1·
      8 hours ago

      If I’m in, let’s say, memes@lemmy.world, I’d like to also have my feed show content from memes@fedia.io, or lemm.ee, or whatever other threadiverse instances that my chosen instance is federating with.

      When you say “feed” you mean your general news feed?

      What if I only liked memes from memes@fedia.com, and other meme communities were too normie or boring for me? You’re going back to the issue with big tech social media, where they push on you what you didn’t sign up for, and you don’t necessarily like it!

      I’m not against a recommendation engine, but it needs to be a lot more intentional from the user, and more transparent. I really dislike the “were just gonna push content you didn’t ask for here, but we think you’ll like it!”. No user choice, no transparency.

      Btw, you should look into Quiblr. It’s a lemmy client that does sort of what you want. It has a built in recommendation engine, and it watches your engagement metrics to determine what you’ll like more of. The only thing it may not have is recommending you communities that aren’t visible to your instance (because no one on your instance follows it).