View, browse and sort the ever-growing list of GDC sessions by pass type, track, format, and more! With Session Scheduler, create an account to build your own GDC schedule and access it anywhere, including on the GDC app, once live.
If you've registered for GDC, you can use the same login credentials. Adding a session to your schedule does not guarantee you a seat. Sessions do fill up, so please arrive early to sessions that you would like to attend.
Ryan Brackney (Sr. Data Scientist, Blizzard Entertainment)
Location: Room 3016, West Hall
Date: Wednesday, March 20
Time: 11:30am - 12:00pm
Pass Type: All Access, GDC Conference + Summits, GDC Conference - Get your pass now!
Vault Recording: Video
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.
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.