Survey by Japanese News Site Nlab asks users where they are moving to from Twitter/X - Misskey wins with 41% (n=5119)
The final ranking is as follows.
Misskey (41.3%)
Bluesky (19.9%)
Taittsu/タイッツー (13.4%)
Mastodon (10.7%)
Discord (5.5%)
That’s fantastic.
It seems clear the English speaking web has a preference for Bluesky. It would be interesting to know how much variation there is between users of other European languages. It seems to me the Germans are pretty active in the Fediverse, which makes sense considering a significant portion of them have been huge privacy nerds since the fall of the GDR.
The fediverse is winning.
Activpub is winning. Fuck yeah lets goooooooooo
What’s Misskey? Never heard of! Time to check.
Japanese-oriented fediverse software, like Mastodon but more fun (like custom emoji reaction, groups, and games).
Those reaction emojis ± count like discord vs upvote/downvote is like going from Grayscale to Color TV. Worlds Apart. Night & Day. Misskey is leading the way.
I wish there was a way to sign up for the main instance outside of Japan.
The other instances are… Odd.
You could try one of the many Misskey forks
If the main platform has weird looking instances, I can’t imagine the forks being much better.
Though I guess I could just set up on another instance and mostly follow content from different ones if they’re federated.
I’m also pretty lazy and last time I tried that I got pretty discouraged.
Cheers! Looks like a great fediverse platform. So sad that the choice of English-speaking servers seems somewhat limited - for now.
That’s not “taittsu”, it read tsuittaa = twitter
Edit: apparently katakana had a typo, the correct was indeed Taittsu.
タイッツー is definitely taittsuu. Twitter doesn’t seem to use a katakana spelling. Your proposal of “tsuittaa” would be ツイッター. Same katakana but different order. There would be no reason to read Japanese from right to left. Might be an intentional pun though.
Edit: it’s https://taittsuu.com/
No, @hitagi@ani.social was correct, the post originally had a typo in it, which I fixed after I got corrected through an earlier comment, but the replies don’t seem to federate properly 😅 Also yes, Taittsu seems to be an intentional pun on Twitter
deleted by creator
You were right. The body text had transcribed as ツイッター incorrectly. It’s been edited out since.
So that’s why all the spam is Japanese.
Is it spam, or is it literally just people using the fediverse as intended, coincidentally in a language you don’t speak? Folks who speak a language other than english aren’t less welcome in the fediverse.
If it’s an issue because it’s drowning out all the stuff you can read and engage with, I think you can set a Mastodon account so you only see posts in a certain language. Other platforms may have similar settings
If it randomly mentions other users, and if it comes in such masses that Mastodon admins have to raise the shields and Fediblock the hell out of dozens of instances, then it’s spam all right.
That said, the last spam wave was organised on Misskey again, but carried out by bots from Mastodon instances largely abandoned by their admins. At least partially, this was the case for the first big spam wave as well.
Is there a reason why miskey users organized a distributed spam wave from Mastodon…?
But yeah, miskey is much more popular in Japan, whereas here in the west Mastodon is much more popular
I recall it was just student that do script attack.
Some Misskey instance like Misskey.design, Misskey.io, and Misskey.id also got their attack several months ago.
It even reach mainstream news outlet: https://techcrunch.com/2024/02/20/spam-attack-on-twitter-x-rival-mastodon-highlights-fediverse-vulnerabilities/
Ah, gotcha. Thank you for the additional information :)
It’s spam. Most Fediverse software like Mastodon and Pleroma support MRFs that protect against spam, as I understand it, but Misskey doesn’t. And since Misskey users are mostly Japanese, so is that spam, as it’s targeting that Japanese audience.
Interesting, thank you for expanding on how the spam issue has happened.
I’d not heard of MRFs before, from some searching around it would seem its a Markov Random Field model (in case anyone sees this and also didn’t know what it was)
