Following change in Twitter’s ownership and subsequent changes to content moderation policies, many in academia looked to move their discourse elsewhere and migration to Mastodon was pursued by some. Our study looks at the dynamics of this migration. Utilizing publicly available user account data, we track the posting activity of academics on Mastodon over a one year period. Our analyses reveal significant challenges sustaining user engagement on Mastodon due to its decentralized structure as well as competition from other platforms such as Bluesky and Threads. The movement lost momentum after an initial surge of enthusiasm as most users did not maintain their activity levels, and those who did faced lower levels of engagement compared to Twitter. Our findings highlight the challenges involved in transitioning professional communities to decentralized platforms, emphasizing the need for focusing on migrating social connections for long-term user engagement.
As much as people around these parts despise algorithmic feeds, I suspect an algorithmic feed would’ve worked far better in this situation to feed all academic based content to someone immediately on account creation if they show interest/ follow peers in the field.
This would’ve helped the migration since they most likely don’t know the accounts of the Twitter accounts posting academic content as that was algorithmically fed as well. I’m really doubtful it’s a problem with decentralization, seems to me mastodon had a problem with both not having a critical mass and the content that was there wasn’t easy enough to find.