Accepted Position Papers
Senjuti Dutta, Rhema Linder, Doug Lowe, Matthew Rosenbalm, Anastasia Kuzminykh and Alex Williams. The Productivity Paradox: Understanding Tooling Biases in Crowdwork. [PDF]
Hossein A. Rahmani and Jie Yang. Demographic Biases of Crowd Workers in Key Opinion Leaders Finding. [PDF]
Tim Draws, Alisa Rieger, Oana Inel, Ujwal Gadiraju and Nava Tintarev. Introducing the Cognitive-Biases-in-Crowdsourcing Checklist. [PDF]
Rahul Pandey and Hemant Purohit. CrowdRL: A Reinforcement Learning Framework for Human Error Mitigation in Crowdsourcing-based Stream Processing. [PDF]
Gianluca Demartini, Kevin Roitero and Stefano Mizzaro. Bias Management in Crowdsourced Data: Moving Beyond Bias Removal. [PDF]
Chien-Ju Ho and Ming Yin. Designing and Optimizing Cognitive Debiasing Strategies for Crowdsourcing Annotation. [PDF]
Caifan Du. Bias Mitigation through ML pipeline in Crowd-based Knowledge Creation. [PDF]