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?

  • schnurrito@discuss.tchncs.deEnglish
    0·
    3 days ago

    Looking back at my own life, I found the first few online communities I ever seriously joined (when I was a preteen, for context) through a web search, then discovered most others (recursively) from there, until I ended up (among other places) here on lemmy (which I can trace back to reddit, which I can trace back to a forum I started to pay attention to because of one of these original online communities preteen me found through a web search; not providing more info for privacy reasons). :P

    So #1 and #3 are how it should work, IMHO, although #3 mostly for people who aren’t yet engaging with anything at all, most things will be discovered through #1.

    I think most people use the Internet not for posting anything (or at least not much) themselves, but for looking up things they want to know (through a web search). In the pre-smartphone era, web searches would often direct to specific websites which might have forums attached to them, that was how I first started to seriously engage in my first online community actually. This isn’t the case much nowadays: many search results are either wikis (which are communities themselves, but don’t really invite discussion that isn’t about working on the wiki) or blogs/WordPress websites which may or may not have a comment section, but it’s relatively rare for them to have forums or even to link to reddit/fediverse communities to discuss their subject matter.

    So I think it would be desirable if we managed to change that last part: top search results for many terms on search engines should be, or link to, fediverse communities, which should make it clear that users are invited to join. That would help us get more users engaged with fediverse communities in the first place, they would naturally discover more communities once they’re here.

    • matcha_addict@lemy.lolOPEnglish
      0·
      3 days ago

      A unified fediverse search service would be awesome, and its something I may try to tackle in the future. Part of why I’m asking this question here!

      • schnurrito@discuss.tchncs.deEnglish
        0·
        3 days ago

        I have already found my instance’s “all communities” link fairly useful for finding communities.

        The problem is I am subscribed to many communities that hardly anyone ever posts anything to, and the answer is not always “be the change you want to see in the world”. For example, I’m a native speaker of German and enjoy helping learners of German with grammatical questions, so I am subscribed to [email protected] – yet, almost no one ever posts any questions there for me to answer. (This is in stark contrast to reddit, where there is a very active /r/german.) People who see that community on lemmy probably think no one will ever read their question if they post it there. Chicken and egg problem.