this post was submitted on 22 Sep 2023
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Fediverse

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A community to talk about the Fediverse and all it's related services using ActivityPub (Mastodon, Lemmy, KBin, etc).

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Is it just the momentum and word of mouth, or are there improved features as well?

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[–] Prior_Industry 8 points 1 year ago (1 children)

I never got the argument that it's hard to sign up to. I think the main issues are that people want content from media entities that may not be present or welcome - legacy media etc. This could be where threads.net fills the gap but then it sounds like they will be blocked from a lot of instances.

I have worked around it via press.coop but they don't cover everything. I also follow more journalists directly than I did on Twitter. I don't miss Twitter and find Mastodon more informative but I'm sure that's because of the information I'm looking for.

[–] FireTower 2 points 1 year ago (2 children)

When I first made an account I did it on Lemmy.ml because that's what I had heard some people talking about and didn't know it was one several Lemmy instances. I wasn't aware that ml stood for marxist-leninist, and switched over to the the other I knew about .world.

I can see the average joe joining the wrong place and seeing an echo chamber or an essential empty isolated instance then forming their opinions on the fediverse around that.

[–] Prior_Industry 5 points 1 year ago (1 children)

I thought they were using the ml domain as they were cheap / free ? Or am I missing the joke?

[–] FireTower -1 points 1 year ago (1 children)

From what I know they chose that specific domain because communists have a thing for Marx and Lenin (go figure). It might have been cheap/free but I'd imagine there's other cheap free domains they decided against in favor of .ml because of the connection.

[–] [email protected] 3 points 1 year ago

It's also that ML was a very cheap domain because Mali (the country which the TLD belongs to) was not actively policing the use of the TLD until recently.

[–] MataVatnik 3 points 1 year ago

This entire time I was reading it as machine learning