Claim veracity detection aims to automatically infer the veracity of a given claim based on relevant evidence retrieved from multiple documents. Work carried out in our group includes fact checking, multimodal fake news detection, and COVID-related claim veracity detection.

Miguel Arana Catania, Lin Gui, John Dougrez-Lewis, Wenjia Zhang, Runcong Zhao

PANACEA: PANdemic Ai Claim vEracity Assessment

• Y. Zhu, J. Si, Y. Zhao, H. Zhu, D. Zhou, Y. He. EXPLAIN, EDIT, GENERATE: Rationale-Sensitive Counterfactual Data Augmentation for Multi-hop Fact Verification , The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023.
• W. Zhang, L. Gui, R. Procter and Y. He. NewsQuote: A Dataset Built on Quote Extraction and Attribution for Expert Recommendation in Fact-Checking, The 17th International AAAI Conference on Web and Social Media: News Media and Computational Journalism Workshop, Jun. 2023.
• R. Procter, M. Arana Catania, Y. He, M. Liakata, A. Zubiaga, E. Kochkina, R. Zhao. Some Observations on Fact-Checking Work with Implications for Computational Support, The 17th International AAAI Conference on Web and Social Media: News Media and Computational Journalism Workshop, Jun. 2023.
• R. Zhao, M. Arana Catania, L. Zhu, E. Kochkina, L. Gui, A. Zubiaga, R. Procter, M. Liakata and Y. He. PANACEA: An Automated Misinformation Detection System on COVID-19, EACL system demonstration track, May. 2023.
• E. Kochkina, T. Hossain, R.L. Logan, M. Arana-Catania, R. Procter, A. Zubiaga, S. Singh, Y. He and M. Liakata. Evaluating the Generalisability of Neural Rumour Verification Models, Information Processing & Management , Volume 60, Issue 1, 2023.
• M. Arana Catania, E. Kochkina, A. Zubiaga, M. Liakata, R. Procter and Y. He. Natural Language Inference with Self-Attention for Veracity Assessment of Pandemic Claims, 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), Jul. 2022.
• J. Dougrez-Lewis, M. Arana Catania, E. Kochkina, M. Liakata and Y. He. PHEMEPlus: Enriching Social Media Rumour Verification with External Evidence, The 5th FEVER Workshop, co-located with ACL May 2022.
• W. Zhang, L. Gui and Y. He. Supervised Contrastive Learning for Multi-modal Unreliable News Detection in COVID-19 Pandemic, The 30th ACM International Conference on Information and Knowledge Management (CIKM), Nov. 2021.
• J. Si, D. Zhou, T. Li, X. Shi and Y. He. Topic-aware Evidence Reasoning and Stance-aware Aggregating for Fact Verification, The 59th Annual Meeting of the Association for Computational Linguistics (ACL), Aug. 2021.
• J. Dougrez-Lewis, E. Kochkina, M. Liakata and Y. He. Learning Disentangled Latent Topics for Twitter Rumour Veracity Classificationn, Findings of ACL, Aug. 2021.