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submitted 1 year ago by oxjox@lemmy.ml to c/asklemmy@lemmy.ml

For example, I'm on Lemmy.ml and I've joined !photography@lemmy.ml, !photography@lemmy.world, and !photography@kbin.social. In this example, it's not very different from the number of similar groups on Flickr but, in comparison to Reddit, it seems like the decentralized platform can be a little unruly.

How are you going about joining different communities and managing your engagement? Are you only participating on the community on your instance? Are you joining and posting in as many instances that seem relevant?

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[-] Rottcodd@kbin.social 2 points 1 year ago

Right, but exactly because that's a thing that people value, the "problem" will be solved organically. Community searches already default to sorting by activity, so over time, one community will come to be seen as the de facto "main" community for that topic. Just as is the case on other forums, except over time and by consensus instead of from the start and by decree.

[-] krayj@lemmy.world 1 points 1 year ago

That's not exactly how it's working in practice.

Sure, for the top 5 lemmy instances, that's kind of how it's working. But for all other lemmy instances, when you load their communities and filter by "all" instead of by "local", you are only seeing the communities that specific instance has become aware of (by virtue of that instance's members manually subscribing to foreign communities on foreign instances).

Since the very nature (by design) of lemmy is to be fragmented, it's almost a foregone conclusion that users of most instances will never even become aware of that the most popular foreign communities are for the topics they are interested in, without resorting to 3rd party search tools and community trackers/locators.

The very design of lemmy actually actively promotes fragmentation...fragmentation not just among the user base, but among communities of identical topics as well across different instances.

The only way it would be 'solved organically' as you say, is when fragmentation is minimized by just having a few super-massive instances -- but that seems to be counter to the fundamental ideals of lemmy itself.

Personally, I think this is a huge usability problem that needs some better technical solutions.

[-] Rottcodd@kbin.social 1 points 1 year ago

Those third party search tools already exist. I expect that apps will begin linking to them or even including their own version of the same function.

And really, it's vanishingly unlikely that somebody so dull-witted that they couldn't even find the most notable instance on a given topic if it wasn't already on their instance's All is going to end up on such an obscure instance in the first place.

Again, I don't think it's a usability problem at all - I think it's just people expecting the fediverse to be essentially identical to the monolithic corporate social media to which they're accustomed, then faulting it for not being so.

[-] krayj@lemmy.world 3 points 1 year ago* (last edited 1 year ago)

I must be completely "dull witted" then. When I first started looking into lemmy, I went to the official "join-lemmy.org" website, clicked on "join a server" and picked one of the top listed recommended results. It just happened to be a VERY small and VERY new instance. But as a completely stupid dull witted new user who knew literally nothing about lemmy, I didn't know any better.

After joining that instance and looking for communities on it, I only saw the local communities plus a few non local communities from larger instances and I legit thought that's all there was on lemmy. I mean, it was clear I was seeing the local ones, and it was clear I was seeing some nonlocal ones, who why tf would I expect that I wasn't seeing everything?

Your perspective is tainted by the fact that you know how it all works. People new to lemmy don't, and I'm telling you that the onboarding and community discovery process is dogshit. I beg you to try considering things from the perspective of a newer user.

this post was submitted on 27 Jul 2023
107 points (97.3% liked)

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