  After Twitter's ownership change and policy shifts, many users reconsidered
their go-to social media outlets and platforms like Mastodon, Bluesky, and
Threads became attractive alternatives in the battle for users. Based on the
data from over 14,000 users who migrated to these platforms within the first
eight weeks after the launch of Threads, our study examines: (1) distinguishing
attributes of Twitter users who migrated, compared to non-migrants; (2)
temporal migration patterns and associated challenges for sustainable migration
faced by each platform; and (3) how these new platforms are perceived in
relation to Twitter. Our research proceeds in three stages. First, we examine
migration from a broad perspective, not just one-to-one migration. Second, we
leverage behavioral analysis to pinpoint the distinct migration pattern of each
platform. Last, we employ a Large Language Model (LLM) to discern stances
towards each platform and correlate them with the platform usage. This in-depth
analysis illuminates migration patterns amid competition across social media
platforms.
