Characterizing Bluesky Content Moderation Service: From Automation of Service to Landscape of Harms

This research outlines the first large-scale empirical audit of the Bluesky Moderation Service (BMS) using its publicly available moderation logs from 2025. The study leverages the architectural transparency of decentralized platforms like Bluesky to overcome the typical opacity of content moderation systems on major social media platforms. It aims to investigate the BMS's operational mechanisms, its effectiveness in identifying harmful content, and the specific types of harms it targets.

This research provides critical insights into the operational characteristics and effectiveness of content moderation systems, particularly within the context of decentralized social platforms. Understanding these aspects is vital for developing robust governance frameworks and ensuring accountability in digital ecosystems, which can inform strategic decisions regarding platform design and regulatory compliance.

Empirical research on content moderation is typically hindered by the lack of transparency in major social media platforms.

Forward consideration, not a verified fact.