A Financial Incentive Mechanism for Truthful Reporting Assurance in Online Crowdsourcing Platforms

被引:3
|
作者
Mohammadi, Alireza [1 ]
Hashemi Golpayegani, Seyyed Alireza [1 ]
机构
[1] Amirkabir Univ Technol, Comp Engn & Informat Technol Dept, Tehran 1591634311, Iran
关键词
truthful reporting; crowdsourcing; mechanism design; GAMES;
D O I
10.3390/jtaer16060113
中图分类号
F [经济];
学科分类号
02 ;
摘要
In today's world, crowdsourcing is regarded as an effective strategy to deal with a high volume of small issues whose solutions can have their own complexities in systems. Moreover, requesters are currently providing hundreds of thousands of tasks in online job markets and workers need to perform these tasks to earn money. Thus far, various aspects of crowdsourcing including budget management, mechanism design for price management, forcing workers to behave truthfully in bidding prices, or maximized gains of crowdsourcing have been considered in different studies. One of the main existing challenges in crowdsourcing is how to ensure truthful reporting is provided by contributing workers. Since the amount of pay to workers is directly correlated with the number of tasks performed by them over a period of time, it can be predicted that strong incentives encourage them to carry out more tasks by giving untruthful answers (providing the first possible answer without examining it) in order to increase the amount of pay. However, crowdsourcing requesters need to obtain truthful reporting as an output of tasks assigned to workers. In this study, a mechanism was developed whose implementation in crowdsourcing could ensure truthful reporting by workers. The mechanism provided in this study was evaluated as more budget feasible and it was also fairer for requesters and workers due to its well-defined procedure.
引用
收藏
页码:2014 / 2030
页数:17
相关论文
共 50 条
  • [31] An Efficient and Truthful Pricing Mechanism for Team Formation in Crowdsourcing Markets
    Liu, Qing
    Luo, Tie
    Tang, Ruiming
    Bressan, Stephane
    2015 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2015, : 567 - 572
  • [32] Use of online crowdsourcing platforms for gambling research
    Mishra, Sandeep
    Carleton, R. Nicholas
    INTERNATIONAL GAMBLING STUDIES, 2017, 17 (01) : 125 - 143
  • [33] Incentive mechanism for the listing item task in crowdsourcing
    Wang, Shaofei
    Dang, Depeng
    INFORMATION SCIENCES, 2020, 512 : 80 - 95
  • [34] An Incentive Mechanism for Crowdsourcing Systems with Network Effects
    Chen, Yanjiao
    Wang, Xu
    Li, Baochun
    Zhang, Qian
    ACM TRANSACTIONS ON INTERNET TECHNOLOGY, 2019, 19 (04)
  • [35] An Efficient Incentive Compatible Mechanism for Paid Crowdsourcing
    Gupta, Shalini
    Mukhopadhyay, Sajal
    Gosh, D.
    PROCEEDINGS OF INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, 2013, 174 : 611 - 620
  • [36] Incentive Mechanism and Protocol Design for Crowdsourcing Systems
    Xie, Hong
    Lui, John C. S.
    Jiang, Joe Wenjie
    Chen, Wei
    2014 52ND ANNUAL ALLERTON CONFERENCE ON COMMUNICATION, CONTROL, AND COMPUTING (ALLERTON), 2014, : 140 - 147
  • [37] A Fair Incentive Mechanism for Crowdsourcing in Crowd Sensing
    Zhu, Xuan
    An, Jian
    Yang, Maishun
    Xiang, Lele
    Yang, Qiangwei
    Gui, Xiaolin
    IEEE INTERNET OF THINGS JOURNAL, 2016, 3 (06): : 1364 - 1372
  • [38] A Truthful and Efficient Incentive Mechanism for Demand Response in Green Datacenters
    Zhou, Zhi
    Liu, Fangming
    Chen, Shutong
    Li, Zongpeng
    IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2020, 31 (01) : 1 - 15
  • [39] Truthful Incentive Mechanism for Vehicle-based Nondeterministic Crowdsensing
    Hu, Chang
    Xiao, Mingjun
    Huang, Liusheng
    Gao, Guoju
    2016 IEEE/ACM 24TH INTERNATIONAL SYMPOSIUM ON QUALITY OF SERVICE (IWQOS), 2016,
  • [40] A Novel Incentive Mechanism for Truthful Performance Assessments of Cloud Services
    Qu, Lie
    Wang, Yan
    Orgun, Mehmet A.
    AAMAS'16: PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS & MULTIAGENT SYSTEMS, 2016, : 1325 - 1326