Putting humans in the loop: Social computing for Water Resources Management
Environmental Modelling & Software
ESWC'12 Proceedings of the 9th international conference on The Semantic Web: research and applications
Co-worker transparency in a microtask marketplace
Proceedings of the 2013 conference on Computer supported cooperative work
Choosing the right crowd: expert finding in social networks
Proceedings of the 16th International Conference on Extending Database Technology
Implementing crowdsourcing-based relevance experimentation: an industrial perspective
Information Retrieval
Aggregating crowdsourced binary ratings
Proceedings of the 22nd international conference on World Wide Web
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The tutorial covers an emerging topic of wide interest: Crowdsourcing. Specifically, we cover areas of crowdsourcing related to managing structured and unstructured data in a web-related content. Many researchers and practitioners today see the great opportunity that becomes available through easily-available crowdsourcing platforms. However, most newcomers face the same questions: How can we manage the (noisy) crowds to generate high quality output? How to estimate the quality of the contributors? How can we best structure the tasks? How can we get results in small amounts of time and minimizing the necessary resources? How to setup the incentives? How should such crowdsourcing markets be setup? Their presented material will cover topics from a variety of fields, including computer science, statistics, economics, and psychology. Furthermore, the material will include real-life examples and case studies from years of experience in running and managing crowdsourcing applications in business settings.