Greta Warren

According to our database, Greta Warren authored at least 12 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Show me the evidence: Evaluating the role of evidence and natural language explanations in AI-supported fact-checking.

Greta Warren, Jingyi Sun, Irina Shklovski, Isabelle Augenstein

Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency, 2026

2025

Community Moderation and the New Epistemology of Fact Checking on Social Media.

Isabelle Augenstein, Michiel A. Bakker, Tanmoy Chakraborty, David P. A. Corney, Emilio Ferrara, Iryna Gurevych, Scott Hale, Eduard H. Hovy, Heng Ji, Irene Larraz, Filippo Menczer, Preslav Nakov, Paolo Papotti, Dhruv Sahnan, Greta Warren, Giovanni Zagni

CoRR, May, 2025

Explaining Sources of Uncertainty in Automated Fact-Checking.

Jingyi Sun, Greta Warren, Irina Shklovski, Isabelle Augenstein

CoRR, May, 2025

Show Me the Work: Fact-Checkers' Requirements for Explainable Automated Fact-Checking.

Greta Warren, Irina Shklovski, Isabelle Augenstein

Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 2025

Can Community Notes Replace Professional Fact-Checkers?

Nadav Borenstein, Greta Warren, Desmond Elliott, Isabelle Augenstein

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2025

2024

Explaining Multiple Instances Counterfactually:User Tests of Group-Counterfactuals for XAI.

Greta Warren, Eoin Delaney, Christophe Guéret, Mark T. Keane

Proceedings of the Case-Based Reasoning Research and Development, 2024

2023

Explaining Groups of Instances Counterfactually for XAI: A Use Case, Algorithm and User Study for Group-Counterfactuals.

Greta Warren, Mark T. Keane, Christophe Guéret, Eoin Delaney

CoRR, 2023

Categorical and Continuous Features in Counterfactual Explanations of AI Systems.

Greta Warren, Ruth M. J. Byrne, Mark T. Keane

Proceedings of the 28th International Conference on Intelligent User Interfaces, 2023

2022

Features of Explainability: How users understand counterfactual and causal explanations for categorical and continuous features in XAI.

Greta Warren, Mark T. Keane, Ruth M. J. Byrne

Proceedings of the Workshop on Cognitive Aspects of Knowledge Representation co-located with the 31st international join conference on artificial intelligence (IJCAI-ECAI 2022), 2022

"Better" Counterfactuals, Ones People Can Understand: Psychologically-Plausible Case-Based Counterfactuals Using Categorical Features for Explainable AI (XAI).

Greta Warren, Barry Smyth, Mark T. Keane

Proceedings of the Case-Based Reasoning Research and Development, 2022

Counterfactual Explanations for eXplainable AI (XAI).

Greta Warren

Proceedings of the Doctoral Consortium Proceedings of the 30th International Conference on Case-Based Reasoning co-located with the 30th International Conference on Case-Based Reasoning (ICCBR 2022), 2022

2021

Explanation in Human Thinking.

Jörg Cassens, Lorenz Habenicht, Julian Blohm, Rebekah Wegener, Joanna Korman, Sangeet Khemlani, Giorgio Gronchi, Ruth M. J. Byrne, Greta Warren, Molly S. Quinn, Mark T. Keane

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021