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05/15/2023
Data Bias Management
Due to the widespread use of data-powered systems in our everyday lives,...
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05/02/2023
On the Impact of Data Quality on Image Classification Fairness
With the proliferation of algorithmic decision-making, increased scrutin...
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04/13/2023
Perspectives on Large Language Models for Relevance Judgment
When asked, current large language models (LLMs) like ChatGPT claim that...
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08/19/2022
Crowdsourced Fact-Checking at Twitter: How Does the Crowd Compare With Experts?
Fact-checking is one of the effective solutions in fighting online misin...
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10/26/2021
Managing Bias in Human-Annotated Data: Moving Beyond Bias Removal
Due to the widespread use of data-powered systems in our everyday lives,...
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08/03/2021
The Many Dimensions of Truthfulness: Crowdsourcing Misinformation Assessments on a Multidimensional Scale
Recent work has demonstrated the viability of using crowdsourcing as a t...
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07/28/2021
On the state of reporting in crowdsourcing experiments and a checklist to aid current practices
Crowdsourcing is being increasingly adopted as a platform to run studies...
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07/25/2021
Can the Crowd Judge Truthfulness? A Longitudinal Study on Recent Misinformation about COVID-19
Recently, the misinformation problem has been addressed with a crowdsour...
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08/13/2020
The COVID-19 Infodemic: Can the Crowd Judge Recent Misinformation Objectively?
Misinformation is an ever increasing problem that is difficult to solve ...
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06/18/2020
Proceedings of the KG-BIAS Workshop 2020 at AKBC 2020
The KG-BIAS 2020 workshop touches on biases and how they surface in know...
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05/14/2020
Can The Crowd Identify Misinformation Objectively? The Effects of Judgment Scale and Assessor's Background
Truthfulness judgments are a fundamental step in the process of fighting...
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09/03/2019
Non-Parametric Class Completeness Estimators for Collaborative Knowledge Graphs – The Case of Wikidata
Collaborative Knowledge Graph platforms allow humans and automated scrip...
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10/26/2017
