Tag: ORES
Leona Whitcombe
Wikipedia Revision Deletion Best Practices: A Guide for Administrators
Learn the essential best practices for Wikipedia administrators handling revision deletion. Understand when to use RevDel vs Oversight, how to interpret ORES scores, and avoid common pitfalls in content moderation.
Leona Whitcombe
ORES Models and Machine Learning for Wikipedia Research Guide
Explore how ORES and Machine Learning improve Wikipedia research. Learn about model accuracy, bias, API access, and future trends in automated content moderation.
Leona Whitcombe
Using ORES and Machine Learning to Flag Risky Wikipedia Edits
ORES uses machine learning to detect vandalism on Wikipedia by analyzing edit patterns in real time. It helps human editors prioritize risky changes, reducing the time harmful content stays online. Trained on decades of edit history, it catches 80%+ of vandalism faster than humans alone.
