Measuring the Expertise of Workers for Crowdsourcing Applications

Advances in Knowledge Discovery and Management - Studies in Computational Intelligence ◽

10.1007/978-3-030-18129-1_7 ◽

2019 ◽

pp. 139-157 ◽

Cited By ~ 1

Author(s):

Jean-Christophe Dubois ◽

Laetitia Gros ◽

Mouloud Kharoune ◽

Yolande Le Gall ◽

Arnaud Martin ◽

...

Keyword(s):

Crowdsourcing Applications

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An Embedding-based Deterministic Policy Gradient Model for Spatial Crowdsourcing Applications

2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design (CSCWD) ◽

10.1109/cscwd49262.2021.9437770 ◽

2021 ◽

Author(s):

Yong Sun ◽

Minshi Liu ◽

Li Huang ◽

Na Xie ◽

Lu Zhao ◽

...

Keyword(s):

Spatial Crowdsourcing ◽

Gradient Model ◽

Policy Gradient ◽

Crowdsourcing Applications

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Recursive Fact-Finding: A Streaming Approach to Truth Estimation in Crowdsourcing Applications

2013 IEEE 33rd International Conference on Distributed Computing Systems ◽

10.1109/icdcs.2013.54 ◽

2013 ◽

Cited By ~ 61

Author(s):

Dong Wang ◽

Tarek Abdelzaher ◽

Lance Kaplan ◽

Charu C. Aggarwal

Keyword(s):

Fact Finding ◽

Crowdsourcing Applications

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PSCluster: Differentially Private Spatial Cluster Detection for Mobile Crowdsourcing Applications

2018 IEEE Conference on Communications and Network Security (CNS) ◽

10.1109/cns.2018.8433174 ◽

2018 ◽

Author(s):

Boyang Hu ◽

Baojian Zhou ◽

Qiben Yan ◽

Adil Alim ◽

Feng Chen ◽

...

Keyword(s):

Spatial Cluster ◽

Cluster Detection ◽

Mobile Crowdsourcing ◽

Crowdsourcing Applications

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Crowdsourcing applications and platforms

Proceedings of the VLDB Endowment ◽

10.14778/3402755.3402809 ◽

2011 ◽

Vol 4 (12) ◽

pp. 1508-1509 ◽

Cited By ~ 13

Author(s):

AnHai Doan ◽

Michael J. Franklin ◽

Donald Kossmann ◽

Tim Kraska

Keyword(s):

Crowdsourcing Applications

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Location privacy for crowdsourcing applications

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing ◽

10.1145/2971648.2971741 ◽

2016 ◽

Cited By ~ 16

Author(s):

Ioannis Boutsis ◽

Vana Kalogeraki

Keyword(s):

Location Privacy ◽

Crowdsourcing Applications

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The Four Urban Governance Problem Types Suitable for Crowdsourcing Citizen Participation

Advances in Electronic Government, Digital Divide, and Regional Development - Citizen E-Participation in Urban Governance ◽

10.4018/978-1-4666-4169-3.ch004 ◽

2013 ◽

pp. 50-68 ◽

Cited By ~ 8

Author(s):

Daren C. Brabham

Keyword(s):

Public Participation ◽

Business Model ◽

Citizen Participation ◽

Free Speech ◽

Urban Governance ◽

Collective Intelligence ◽

Government Functions ◽

Problem Types ◽

The Right ◽

Crowdsourcing Applications

Crowdsourcing is a method for harnessing the collective intelligence of online communities to solve specific problems or produce goods. Largely known as a business model, crowdsourcing has begun to make inroads as a supplemental public participation tool for governance, as a way to engage citizens in the business of government functions. Validating a new typology of crowdsourcing cases, this chapter outlines the four urban governance problem types that the crowdsourcing model can successfully address. This chapter also discusses the right of free speech in online crowdsourcing communities and its relevance for urban governance crowdsourcing applications in free societies. Concluding the chapter is an examination of crowdsourcing’s place in the policy-advisory spectrum and the risks associated with bringing crowdsourcing applications into public participation programs.

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