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 (Inha University)
- 2. Yan Li (Inha University)
- 3. Byeong-Seok Shin (Inha University)
BibTeX Citation
@article{liang_vldb22,
title = {{Decentralized Crowdsourcing for Human Intelligence Tasks with Efficient On-Chain Cost}},
author = {Liang, Yihuai and Li, Yan and Shin, Byeong-Seok},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {9},
pages = {1875--1888},
doi = {10.14778/3538598.3538609},
url = {https://doi.org/10.14778/3538598.3538609},
year = {2022}
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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 |
|---|---|---|---|---|
| 661 | Towards Scaling Blockchain Systems via Sharding | 2019 | SIGMOD | 0.00015172489 |
| 1,024 | Blurring the Lines between Blockchains and Database Systems: the Case of Hyperledger Fabric | 2019 | SIGMOD | 0.00012564445 |
| 3,135 | FalconDB: Blockchain-based Collaborative Database | 2020 | SIGMOD | 7.7033234e-05 |
| 6,608 | Fluid: A Blockchain based Framework for Crowdsourcing | 2019 | SIGMOD | 5.8120476e-05 |
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