Community Scoring & Reputation Mechanics
To support decentralized moderation and verifier accountability, Hive.AI introduces a reputation-weighted review system where non-verifying token holders can anonymously audit samples of verified data. A lightweight scoring engine, deployed off-chain, aggregates results and synchronizes updates to verifier reputation scores via batched on-chain calls to minimize gas cost.
Mechanisms used:
Zero-knowledge identity masking (planned) to ensure scorer anonymity
Reputation score oracles to feed real-time trust data into staking/reward mechanisms
Merkle tree batching for low-cost verifier score updates
This ensures a resilient and transparent multi-party validation structure.
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