Decentralized Crowdsourcing for Human Intelligence Tasks with Efficient On-Chain Cost
Summary: Decentralizes HITs via a public blockchain for payments and dispute resolution, avoiding on-chain disclosure of workers' answers. Achieves O(1) on-chain storage and O(log N) computation, uses gold standards for quality, preserves worker privacy, and provides formal security definitions and proofs. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Yihuai Liang
- 2. Yan Li
- 3. Byeong-Seok Shin
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 649 | Towards Scaling Blockchain Systems via Sharding | 2019 | SIGMOD | 0.00015471765 |
| 997 | Blurring the Lines between Blockchains and Database Systems: the Case of Hyperledger Fabric | 2019 | SIGMOD | 0.00012839982 |
| 3,070 | FalconDB: Blockchain-based Collaborative Database | 2020 | SIGMOD | 7.8580484e-05 |
| 6,474 | Fluid: A Blockchain based Framework for Crowdsourcing | 2019 | SIGMOD | 5.9268512e-05 |
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