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08/14/2023
Human-centered NLP Fact-checking: Co-Designing with Fact-checkers using Matchmaking for AI
A key challenge in professional fact-checking is its limited scalability...
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02/16/2023
True or false? Cognitive load when reading COVID-19 news headlines: an eye-tracking study
Misinformation is an important topic in the Information Retrieval (IR) c...
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01/08/2023
The State of Human-centered NLP Technology for Fact-checking
Misinformation threatens modern society by promoting distrust in science...
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06/29/2022
longhorns at DADC 2022: How many linguists does it take to fool a Question Answering model? A systematic approach to adversarial attacks
Developing methods to adversarially challenge NLP systems is a promising...
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04/11/2022
ProtoTEx: Explaining Model Decisions with Prototype Tensors
We present ProtoTEx, a novel white-box NLP classification architecture b...
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02/17/2022
The Effects of Interactive AI Design on User Behavior: An Eye-tracking Study of Fact-checking COVID-19 Claims
We conducted a lab-based eye-tracking study to investigate how the inter...
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09/20/2021
The Case for Claim Difficulty Assessment in Automatic Fact Checking
Fact-checking is the process (human, automated, or hybrid) by which clai...
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05/12/2021
Fairness and Discrimination in Information Access Systems
Recommendation, information retrieval, and other information access syst...
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07/22/2019
A Conceptual Framework for Evaluating Fairness in Search
While search efficacy has been evaluated traditionally on the basis of r...
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07/08/2019