Goldilocks: Consistent Crowdsourced Scalar Annotations with Relative Uncertainty
Author:
Affiliation:
1. University of Washington, Seattle, WA, USA
Publisher
Association for Computing Machinery (ACM)
Subject
Computer Networks and Communications,Human-Computer Interaction,Social Sciences (miscellaneous)
Link
https://dl.acm.org/doi/pdf/10.1145/3476076
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2. A Novel Methodology for Developing Automatic Harassment Classifiers for Twitter
3. Crowdsourcing Subjective Tasks: The Case Study of Understanding Toxicity in Online Discussions
4. Truth Is a Lie: Crowd Truth and the Seven Myths of Human Annotation
5. Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty
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