8. Public Interaction, Debate, and Feedback Loops

8.1 Social Engagement Layer

  • User Reactions: Beyond simple up/downvotes, the platform encourages commentary on comedic or factual revelations. Are they accurate, questionable, or too scathing?

  • Debate Threads: Each comedic piece can spawn debate threads where community members weigh in on the reliability of the sources or the moral boundaries of certain roasts.

8.2 Advanced Auto-Learning Pipeline

  1. Periodic Data Gather: A trainer microservice compiles user feedback, aggregator updates, and flagged controversies.

  2. Filter and Balance: Content is screened for spam or malicious attempts to warp the comedic style. The aggregator tries to confirm or deny rumors.

  3. Deploy and Evaluate: If the model’s comedic-truth ratio, user satisfaction scores, and ethical compliance surpass baseline, the model is deployed. If not, it’s either reworked or put to a DAO vote.

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