Content ModerationVerified
Reviewed and published by trentmaziarz, April 22, 2026. Discovered and drafted by our automated research pipeline.
Bluesky deployed an automated system that assesses the titles and descriptions of user-created lists for overt toxicity when a list is reported, automatically applying a hidden label if violations are detected.
Details
Launched in April 2025, this system automatically evaluates list titles and descriptions for toxic content when a user report is received, applying a '!hide' label that makes the list invisible to everyone except its creator. Bluesky's 2025 Transparency Report states that previously, human moderators would assess and take down toxic lists entirely, which frustrated users who lost their curational work. The automated approach allows creators to revise their content and appeal for label removal, preserving their list while reducing harm. Bluesky credits this change with significantly reducing abusive use of the lists feature.
Products affected
Bluesky app
Sources & Evidence
Cite this record
Trace Foundation. (2026). Bluesky: Bluesky deployed an automated system that assesses the titles and descriptions of user-created lists for overt toxicity when a list is reported, automatically applying a hidden label if violations are detected (data as of 2026-04-22) [Data set record]. AI Trace. https://www.aitrace.org/r/practice/5135e880-c537-446c-ac48-275226901d09. Accessed September 9, 2026.
- Stable link
- https://www.aitrace.org/r/practice/5135e880-c537-446c-ac48-275226901d09
- Data as of
- April 22, 2026
- Last verified
- April 22, 2026
Other practices by Bluesky
ProductivityBluesky tested Attie, a standalone AI app that allows users to build personalized social media feeds by typing plain-language descriptions, without needing to write code.RecommendationBluesky uses an algorithmic recommendation system to power its Discover feed, surfacing posts based on a user's engagement history, social graph proximity, and network-wide trending signals.ModerationBluesky uses automated detection systems — including rules engines and machine learning tools — to identify and act on spam networks, fake accounts, and bot behavior in real time across the platform.
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