GDC + VRDC 2019 Session Scheduler

View, browse and sort the ever-growing list of sessions by pass type, track, and format. With this Session Scheduler, you can build your schedule in advance and access it during the show via export or with the GDC Mobile App, once live. Sessions do fill up so please arrive early to sessions that you would like to attend. Adding a session to your schedule does not guarantee you a seat.

Building Abusive Chat Detection Systems with Deep Learning

Ryan Brackney (Sr. Data Scientist, Blizzard Entertainment)

Pass Type: All Access, GDC Conference + Summits, GDC Conference - Get your pass now!

Topic: Programming

Format: Session

Vault Recording: TBD

Audience Level: All

The goal of this session is to provide a technical framework for building an abusive chat detection system with deep learning. Any system for moderating the communication of an in-game, global community of players will face a number of challenges including how to handle the unique and ever-changing lingo of players, accommodate multiple languages and cultural values simultaneously, and being robust against players trying to circumvent the detection methods. This talk will describe in detail the deep learning architecture and systems level solutions Blizzard chose to tackle these problems.


Attendees will be taught how deep learning algorithms can be used to effectively detect and action disruptive and abusive chat when used in combination with thoughtful system design.

Intended Audience

Engineers, data scientists, and game designers who are interested in building automated systems to detect and penalize abusive and disruptive player behaviors within their games.