research-article

Fluid: A Blockchain based Framework for Crowdsourcing

Authors:

Siyuan Han,

Zihuan Xu,

Yuxiang Zeng,

Lei ChenAuthors Info & Claims

SIGMOD '19: Proceedings of the 2019 International Conference on Management of Data

Pages 1921 - 1924

https://doi.org/10.1145/3299869.3320238

Published: 25 June 2019 Publication History

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Abstract

Recently, crowdsourcing has emerged as a new computing paradigm to solve problems that need human intrinsic, such as image annotation. However, there are two limitations in existing crowdsourcing platforms, i.e. non-transparent incentive mechanism and isolated profiles of workers, which harms the interests of both requesters and workers. Meanwhile, Blockchain technology introduces a solution to build a transparent, immutable data model in the Byzantine environment. Moreover, Blockchain systems (e.g. Ethereum) can also support the Tuning-complete script called smart contracts. Thus, we are motivated to use the feature of the transparent data model and smart contract in Blockchain to address the two limitations. Based on the proposed solutions, we have designed a Blockchain based framework which supports foundations of general crowdsourcing platforms. In addition, our framework also has following novel features: (1) it provides the transparent incentive mechanisms; (2) it supports a trusted worker's profile sharing in a cross-platform mode.

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Cited By

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Singh MBjorndahl WSingh ACamp J(2024)Towards a Regulation Compliant Crowdsourcing Mechanism in XG Through Multichain-Blockchain2024 IEEE International Conference on Communications Workshops (ICC Workshops)10.1109/ICCWorkshops59551.2024.10615849(1437-1442)Online publication date: 9-Jun-2024
https://doi.org/10.1109/ICCWorkshops59551.2024.10615849
Kumar SPandey S(2024)TOPSIS Enabled Trustworthiness in Crowdsourcing using the Fuzzy Logic-powered Blockchain2024 IEEE International Conference on Blockchain and Distributed Systems Security (ICBDS)10.1109/ICBDS61829.2024.10837241(1-6)Online publication date: 17-Oct-2024
https://doi.org/10.1109/ICBDS61829.2024.10837241
Alzahrani AAlahmadi DAlharbi N(2024)Toward Blockchain-Based Crowdsourcing for Machine Learning Ground TruthAchieving Sustainable Business through AI, Technology Education and Computer Science10.1007/978-3-031-70855-8_6(59-73)Online publication date: 9-Nov-2024
https://doi.org/10.1007/978-3-031-70855-8_6
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Index Terms

Fluid: A Blockchain based Framework for Crowdsourcing
1. Information systems
  1. World Wide Web
    1. Web applications
      1. Crowdsourcing
        Incentive schemes

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Published In

SIGMOD '19: Proceedings of the 2019 International Conference on Management of Data

June 2019

2106 pages

ISBN:9781450356435

DOI:10.1145/3299869

General Chairs:
Peter Boncz
CWI & Vrije Universiteit Amsterdam, The Netherlands
,
Stefan Manegold
CWI & Universiteit Leiden, The Netherlands
,
Program Chairs:
Anastasia Ailamaki
EPFL, Switzerland
,
Amol Deshpande
University of Maryland, USA
,
Tim Kraska
MIT, USA

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 25 June 2019

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SIGMOD/PODS '19: International Conference on Management of Data

June 30 - July 5, 2019

Amsterdam, Netherlands

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SIGMOD '19 Paper Acceptance Rate 88 of 430 submissions, 20%;

Overall Acceptance Rate 785 of 4,003 submissions, 20%

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Singh MBjorndahl WSingh ACamp J(2024)Towards a Regulation Compliant Crowdsourcing Mechanism in XG Through Multichain-Blockchain2024 IEEE International Conference on Communications Workshops (ICC Workshops)10.1109/ICCWorkshops59551.2024.10615849(1437-1442)Online publication date: 9-Jun-2024
https://doi.org/10.1109/ICCWorkshops59551.2024.10615849
Kumar SPandey S(2024)TOPSIS Enabled Trustworthiness in Crowdsourcing using the Fuzzy Logic-powered Blockchain2024 IEEE International Conference on Blockchain and Distributed Systems Security (ICBDS)10.1109/ICBDS61829.2024.10837241(1-6)Online publication date: 17-Oct-2024
https://doi.org/10.1109/ICBDS61829.2024.10837241
Alzahrani AAlahmadi DAlharbi N(2024)Toward Blockchain-Based Crowdsourcing for Machine Learning Ground TruthAchieving Sustainable Business through AI, Technology Education and Computer Science10.1007/978-3-031-70855-8_6(59-73)Online publication date: 9-Nov-2024
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Kumar SPandey S(2024) WSC : A Crowd‐Powered Framework for Mapping Decomposable Complex‐Task With Worker‐Set Concurrency and Computation: Practice and Experience10.1002/cpe.8305Online publication date: 21-Oct-2024
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On-chain behavior prediction Machine Learning model for blockchain-based crowdsourcing

How Can Incentive Mechanisms and Blockchain Benefit with Each Other? A Survey

TFCrowd: a blockchain-based crowdsourcing framework with enhanced trustworthiness and fairness

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