Abstract
The debate rages on about whether crowdsourcing is a win-win for workers, as well as for employers.
- von Ahn, L., "Human Computation," (video), August 22, 2012, http://www.youtube.com/ watch?v=tx082gDwGcMGoogle Scholar
- Cushing, E., "Dawn Of The Digital Sweatshop," August 1, 2012, "East Bay Express," http://www. eastbayexpress.com/oakland/dawn-of-the-digital-sweatshop/Content?oid=3301022Google Scholar
- Kittur, A., Nickerson, J., Bernstein, M., Gerber, E., Shaw, A., Zimmerman, J., Lease, M., and Horton, J., "The Future of Crowd Work," published February 2013 at the 16th ACM Conference on Computer Supported Cooperative Work, http://hci.stanford.edu/publications/2013/ CrowdWork/futureofcrowdwork-cscw2013.pdf Google ScholarDigital Library
- Neumann, E., "Tech Company CrowdFlower Denies Labor Violation," December 4, 2012, "MissionLocal," http://missionlocal. org/2012/12/tech-company-crowdflower-denies-underpaying-workers/Google Scholar
- Ipeirotis, P., "Mechanical Turk: Now with 40.92% spam," December 16, 2010, http://www.behind-the-enemy-lines.com/2010/12/mechanical-turk-now-with-4092-spam.htmlGoogle Scholar
- Irani, L., and Silverman, M., "Turkopticon: Interrupting Worker Invisibility in Amazon Mechanical Turk," April 2013, ACM SIGCHI Conference on Human Factors in Computing Systems, http://www.ics.uci.edu/~lirani/Irani-Silberman-Turkopticon-camready.pdf Google ScholarDigital Library
- Van Pelt, C., and Sorkin, A., "Designing a Scalable Crowdsourcing Platform," 2012 ACM SIGMOD International Conference on Management of Data, http:// dl.acm.org/citation.cfm?id=2213951 Google ScholarDigital Library
- Biewald, L., "Massive Multiplayer Human Computation for Fun, Money, and Survival," ICWE 2011, http://link.springer.com/ chapter/10.1007%2F978-3-642-27997- 3_18?LI=true# Google ScholarDigital Library
- Hester, V., Shaw, A,. and Biewald, L., "Scalable crisis relief: Crowdsourced SMS translation and categorization with Mission 4636," ACM Symposium on Computing for Development 2010, http://dl.acm.org/ citation.cfm?id=1926199 Google ScholarDigital Library
Index Terms
- Software aims to ensure fairness in crowdsourcing projects
Recommendations
Incentivizing Distributive Fairness for Crowdsourcing Workers
AAMAS '19: Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent SystemsIn a crowd market such as Amazon Mechanical Turk, the remuneration of Human Intelligence Tasks is determined by the requester, for which they are not given many cues to ascertain how to "fairly'' pay their workers. Furthermore, the current methods for ...
The impact of staff turnover on software projects: the importance of understanding what makes software practitioners tick
SIGMIS CPR '08: Proceedings of the 2008 ACM SIGMIS CPR conference on Computer personnel doctoral consortium and researchIn this paper we investigate the impact of staff turnover on software projects. In particular we investigate whether high staff turnover damages project success. We analyse data from an empirical study of 89 software practitioners to show that projects ...
Understanding crowdsourcing projects
Crowdsourcing is a powerful method that leverages human intelligence to solve problems in the medical, linguistics, machine learning, and in a considerable number of other fields of study. This systematic review aims to understand how crowdsourcing ...
Comments