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While many Natural Language Processing (NLP) techniques have been proposed for fact-checking, both academic research and fact-checking organizations report limited adoption of such NLP work due to poor alignment with fact-checker practices, values, and needs.
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Do stakeholder needs differ? - Designing stakeholder-tailored Explainable Artificial Intelligence (XAI) interfaces
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Understanding Frontline Workers’ and Unhoused Individuals’ Perspectives on AI Used in Homeless Services. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (Hamburg, Germany) (CHI ’23, Article 860) . Association for Computing Machinery, New York, NY, USA, 1–17
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Uncovering Gig Worker-Centered Design Opportunities in Food Delivery Work. In Proceedings of the 2023 ACM Designing Interactive Systems Conference (Pittsburgh, PA, USA) (DIS ’23) . Association for Computing Machinery, New York, NY, USA, 688–701
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Who Should I Trust: AI or Myself? Leveraging Human and AI Correctness Likelihood to Promote Appropriate Trust in AI-Assisted Decision-Making. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (Hamburg, Germany) (CHI ’23, Article 759) . Association for Computing Machinery, New York, NY, USA, 1–19
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On the Risk of Misinformation Pollution with Large Language Models. In Findings of the Association for Computational Linguistics: EMNLP 2023 , Houda Bouamor, Juan Pino, and Kalika Bali (Eds.). Association for Computational Linguistics, Singapore, 1389–1403
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Computational Models of Anaphora
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Some Observations on Fact-Checking Work with Implications for Computational Support. In Workshop Proceedings of the 17th International AAAI Conference on Web and Social Media (Limassol, Cyprus). Association for the Advancement of Artificial Intelligence
Rob Procter, Miguel Arana Catania, Yulan He, Maria Liakata, Arkaitz Zubiaga, Elena Kochkina, and Runcong Zhao. 2023 · 2023
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Benchmarking the generation of fact checking explanations
Daniel Russo, Serra Sinem Tekiroğlu, and Marco Guerini. 2023 · 2023
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Fact-checking statistical claims with tables
Mohammed Saeed and Paolo Papotti. 2021 · 2023
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Whose Opinions Do Language Models Reflect?. In Proceedings of the 40th International Conference on Machine Learning (Proceedings of Machine Learning Research, Vol. 202) , Andreas Krause, Emma Brunskill, Kyunghyun Cho, Barbara Engelhardt, Sivan Sabato, and Jonathan Scarlett (Eds.). PMLR, 29971–30004
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Creating Design Resources to Scaffold the Ideation of AI Concepts. In Proceedings of the 2023 ACM Designing Interactive Systems Conference (Pittsburgh, PA, USA) (DIS ’23) . Association for Computing Machinery, New York, NY, USA, 2326–2346
Nur Yildirim, Changhoon Oh, Deniz Sayar, Kayla Brand, Supritha Challa, Violet Turri, Nina Crosby Walton, Anna Elise Wong, Jodi Forlizzi, James McCann, and John Zimmerman. 2023 · 2023
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Complex Claim Verification with Evidence Retrieved in the Wild. In Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) , Kevin Duh, Helena Gomez, and Steven Bethard (Eds.). Association for Computational Linguistics, Mexico City, Mexico, 3569–3587
Jifan Chen, Grace Kim, Aniruddh Sriram, Greg Durrett, and Eunsol Choi. 2024 · 2024
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Misinformation as a harm: Structured approaches for fact-checking prioritization
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