This document discusses using machine learning and data analysis techniques to improve community management and content moderation on an online question and answer site. It describes building models to automatically rate answers, challenges faced such as lack of training data and complex user behavior, and efforts taken to address these such as collecting more data, using more complex neural network models, and developing tools for moderators. It also covers expanding these techniques to related tasks like question rating, building a taxonomy of tags, and using insights from data and models to further improve the user experience.