A federated-learning system for Mastodon lets instances share model weights, improving average macro-F1 over local-only moderation on three content moderation tasks.
Flocking to Mastodon: Tracking the Great Twitter Migration
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abstract
The acquisition of Twitter by Elon Musk has spurred controversy and uncertainty among Twitter users. The move raised as many praises as concerns, particularly regarding Musk's views on free speech. As a result, a large number of Twitter users have looked for alternatives to Twitter. Mastodon, a decentralized micro-blogging social network, has attracted the attention of many users and the general media. In this paper, we track and analyze the migration of 136,009 users from Twitter to Mastodon. Our analysis sheds light on the user-driven pressure towards centralization in a decentralized ecosystem and identifies the strong influence of the social network in platform migration. We also characterize the activity of migrated users on both Twitter and Mastodon.
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Collaborative Content Moderation in the Fediverse
A federated-learning system for Mastodon lets instances share model weights, improving average macro-F1 over local-only moderation on three content moderation tasks.