Fair compensation of crowdsourcing work: the problem of flat rates-Reference-Cited by-同舟云学术

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Fair compensation of crowdsourcing work: the problem of flat rates

Published:2022-11-28 Issue: Volume: Page:1-22
ISSN:0144-929X
Container-title:Behaviour & Information Technology
language:en
Short-container-title:Behaviour & Information Technology

Author:

Salminen Joni¹,Kamel Ahmed Mohamed Sayed²^ORCID,Jung Soon-Gyo³,Mustak Mekhail⁴^ORCID,Jansen Bernard J.³

Affiliation:

1. Department of Marketing and Communication, University of Vaasa, Vaasa, Finland

2. Department of Clinical Pharmacy, Cairo University, Cairo, Egypt

3. Qatar Computing Research Institute, Hamad Bin Khalifa University, Doha, Qatar

4. Department of Marketing and Sales Management, IESEG School of Management, Lille, France

Funder

Finnish Foundation for Economic Education

Publisher

Informa UK Limited

Subject

Human-Computer Interaction,General Social Sciences,Arts and Humanities (miscellaneous),Developmental and Educational Psychology

Link

https://www.tandfonline.com/doi/pdf/10.1080/0144929X.2022.2150564

Reference61 articles.

1. Legal and social safeguards against opportunism in exchange

2. Practical Lessons for Gathering Quality Labels at Scale

3. Alonso, Omar, Catherine C. Marshall, and Marc A. Najork. 2013. “A Human-Centered Framework for Ensuring Reliability on Crowdsourced Labeling Tasks.” In First AAAI Conference on Human Computation and Crowdsourcing. Accessed 27 March 2018. https://www.aaai.org/ocs/index.php/HCOMP/HCOMP13/paper/view/7487.

4. Barbosa, Natã M., and Monchu Chen. 2019. “Rehumanized Crowdsourcing: A Labeling Framework Addressing Bias and Ethics in Machine Learning.” In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 1–12.

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