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For those that have poked around other fediverse stuff beyond Lemmy, and been around the spaces awhile, what's stuck out to you as stumbling blocks, or basic user experience fumbles? Which parts do you think may be technical, and which may be cultural?

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[-] Very_Bad_Janet@kbin.social 13 points 1 year ago* (last edited 1 year ago)

For me, aside from picking initially between kbin and Lemmy and then picking an instance (and the whole concept of instances), it was not having an algorithmically created feed. It took a bit to wrap my mind around since all of the social media apps and sites I was used to (and still use) provides this.

I was confronted with building my own feed by topic of interest (aka community or magazine) or else.face a firehose of all content from all local or federated instances. I mean, I did it, so it wasn't that big a barrier, but it still required effort and conscious decision making on my part just to set up the thing to be usable. It's probably one of the reasons why I don't use Mastodon that much, because it's easier to join/subscribe to topics in kbin and Lemmy (at least in my experience). Mastodon seems to be for following individuals and organizations, and that's even more work (for me).

[-] Jomn@jlai.lu 8 points 1 year ago

One way to deal with this issue in Mastodon is to follow hashtags instead. Personally, it is also not for me, but it is still better than following individuals.

[-] ALostInquirer@lemm.ee 0 points 1 year ago

For me, aside from picking initially between kbin and Lemmy and then picking an instance (and the whole concept of instances), it was not having an algorithmically created feed. It took a bit to wrap my mind around since all of the social media apps and sites I was used to (and still use) provides this.

This is kind of an interesting one to me, not because I disagree or anything, but because at least personally, when I've tried to use corporate social media, I felt like I also had to do a lot of manual feed building/curation to get it to be worth anything. However, I do think where some of the algorithmic stuff helped a little was in the suggestions of similar or related pages/users, albeit somewhat rarely.

More than the algorithms it was simply the fact that it was a single platform where you knew they might be & so could search for them, so maybe it was a mixture of those details for you too?

this post was submitted on 25 Aug 2023
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