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

2. 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.
3. 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?