MapReduce: simplified data processing on large clusters
Communications of the ACM - 50th anniversary issue: 1958 - 2008
Crowdsourcing user studies with Mechanical Turk
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
TurKit: tools for iterative tasks on mechanical Turk
Proceedings of the ACM SIGKDD Workshop on Human Computation
Communications of the ACM
Strategies for crowdsourcing social data analysis
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
CommunitySourcing: engaging local crowds to perform expert work via physical kiosks
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Massively distributed authorship of academic papers
CHI '12 Extended Abstracts on Human Factors in Computing Systems
Workflow transparency in a microtask marketplace
Proceedings of the 17th ACM international conference on Supporting group work
Extending search to crowds: a model-driven approach
Search Computing
Co-worker transparency in a microtask marketplace
Proceedings of the 2013 conference on Computer supported cooperative work
Crowdsourced Knowledge Acquisition: Towards Hybrid-Genre Workflows
International Journal on Semantic Web & Information Systems
| Hi-index | 0.02 |
Micro-task markets such as Amazon's Mechanical Turk represent a new paradigm for accomplishing work, in which employers can tap into a large population of workers around the globe to accomplish tasks in a fraction of the time and money of more traditional methods. However, such markets typically support only simple, independent tasks, such as labeling an image or judging the relevance of a search result. Here we present a general purpose framework for micro-task markets that provides a scaffolding for more complex human computation tasks which require coordination among many individuals, such as writing an article.