AI Reputation Score
Each user accumulates a dynamic Reputation Score based on their training contribution behavior within the platform. This score acts as a foundational reference for unlocking advanced features, gaining governance rights, and qualifying for prioritized incentives or airdrops.
Key scoring dimensions include:
Participation Frequency: Number of content uploads, links submitted, and feedback interactions
Data Quality: Rate of usage in AI training, accuracy, and frequency of referencing
Semantic Value: Depth, originality, and influence of content as judged by the AI model
Audit History: Consistency with community validation and absence of fraudulent data
Community Evaluation: Peer ratings and engagement with AI-generated outputs
Reputation Scores serve as a reputation-based gateway to access premium features, boost governance influence, and receive high-tier rewards.
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