1,000,000,000 live chat messages and moderation events captured from Virtual YouTuber (VTuber) broadcasts. The data categorizes user interactions and administrative actions taken by channel moderators during live streams.
Use Cases
- Train moderation classifiers by correlating chat message content with moderation event triggers
- Perform large-scale linguistic analysis on the unique slang and communication styles found in VTuber live chat text
- Model community behavior and sentiment trends using the billion-scale sequence of chat messages
Strengths
- Contains 1,000,000,000+ individual records of live stream interactions
- Includes specific moderation event logs documenting administrative actions
- Captures real-time social data from the Virtual YouTuber (VTuber) domain