Characterizing Bluesky Content Moderation Service: From Automation of Service to Landscape of Harms
Empirical research on content moderation is fundamentally constrained by the opaque deployment of moderation systems on major social media platforms. To this end, the recent emergence of decentralized platforms with transparent, public moderation logs presents an unprecedented opportunity for independent audits. In this work, we leverage this architectural transparency to conduct the first large-scale audit of the default moderation system on Bluesky, the Bluesky Moderation Service (BMS). Analyzing its 10.6M moderation labels from 2025, we investigate three foundational aspects: (i) its mechanism (the degree of automation versus human oversight), (ii) its efficacy (accuracy in detecting h...
| Authors | Pushpdeep Singh, Sayeh Jarollahi, Ayan Majumdar et al. |
|---|---|
| Primary category | cs.CY |
| Published | 10 September 2026 |
| Last updated at source | 10 September 2026 |
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