Sprout
Author:
Affiliation:
1. University of Washington, Seattle, WA, USA
2. Indian Institute of Technology, Delhi, New Delhi, India
Funder
Google
National Science Foundation
Office of Naval Research
Washington Research Foundation
Bloomberg L.P.
Ministry of Electronics and Information Technology, Government of India
IBM
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3242587.3242598
Reference35 articles.
1. Cognitively inspired task design to improve user performance on crowdsourcing platforms
2. Using crowdsourcing for TREC relevance assessment
3. Revolt
4. Measuring Crowdsourcing Effort with Error-Time Curves
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1. A clarity and fairness aware framework for selecting workers in competitive crowdsourcing tasks;Computing;2024-07-06
2. Exploring the Future of Informed Consent: Applying a Service Design Approach;Proceedings of the ACM on Human-Computer Interaction;2024-04-17
3. The State of Pilot Study Reporting in Crowdsourcing: A Reflection on Best Practices and Guidelines;Proceedings of the ACM on Human-Computer Interaction;2024-04-17
4. NLP-Crowdsourcing Hybrid Framework for Inter-Researcher Similarity Detection;IEEE Transactions on Human-Machine Systems;2023-12
5. Judgment Sieve: Reducing Uncertainty in Group Judgments through Interventions Targeting Ambiguity versus Disagreement;Proceedings of the ACM on Human-Computer Interaction;2023-09-28
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