Real-Time Toxicity Detection in Games: Balancing Moderation and Player Experience

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Details a real-time AI/ML-based system for detecting and mitigating toxic messages in games, leveraging Confluent's data streaming platform and Databricks for advanced analysis. The system uses Apache Flink for initial triage and Databricks for deeper context-aware NLP, with Tableflow facilitating data integration. It emphasizes balancing moderation with player experience by processing the majority of messages with low latency and escalating complex cases for deeper analysis or human review, with continuous model refinement based on feedback.