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Twitter consists of micro-communities, which should be factored into any attempts at statistical analysis. Some of those communities have migrated to Mastodon, where the presence of multiple servers provides additional signal for micro-community and cluster identification. In addition, Twitter(s) circa <year> are different datasets due to both platform policy and evolving membership.

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Honestly it hasn’t happened for my two micro communities that I follow related to my PhD and postdoc work. We are still all on X and mastodon, even though I have an account, it just doesn’t serve the messages properly and I’m unable to easily find new people. That network effect is super sticky..

Yeah this is happening pretty strongly in specific fields. Terence Tao is on Mathstodon. There's newsie.social for journalists, types.pl for PL researchers. This is similar to how twitter started and apparently how it's also going to die, all of the high-signal users who produce the content leaving for another space, leaving behind nonsense.

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