Presentation Information
[1I5-GS-4b-02]User Migration and Community Conflict Surrounding Generative AI
〇Zhangxuan Chen1, Masaki Chujyo1, Mitsuo Yoshida2, Fujio Toriumi1 (1. Univ. of Tokyo, 2. Univ. of Tsukuba)
Keywords:
AI,Bluesky,Generative AI
In recent years, discussions surrounding generative AI have become increasingly active in online spaces. On X (formerly Twitter), a growing number of users expressing negative attitudes toward generative AI have been observed, and related reports have suggested that some of these users have migrated to Bluesky, a decentralized social networking service. However, how such cross-platform user migration and differences in stance affect online community structures and patterns of interaction has not yet been sufficiently examined. This study focuses on discourse related to generative AI on Bluesky, aiming to quantitatively capture trends in the presence of anti-AI users and to clarify the structure of community-level opposition formed based on differences in stance. Using stance classification derived from post content and user interaction logs, we analyze community detection results and patterns of interaction between communities. By doing so, this study demonstrates that opposition surrounding generative AI cannot be understood solely as differences in individual opinions, but rather as a process through which community-level relationships are shaped and stabilized through selective user behaviors. The findings contribute to a deeper understanding of community-level opposition in online environments.
