My research is primarily focused on developing techniques to identify coordinated misinformation, focusing on methods for identifying multilingual text similarity.
I am part of the GATE team, and currently working on the VIGILANT project.
2023
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Analysing State-Backed Propaganda Websites: a New Dataset and Linguistic Study - arXiv Preprint, accepted to EMNLP
F. Heppell, K. Bontcheva, C. Scarton
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Comparison between parameter-efficient techniques and full fine-tuning: A case study on multilingual news article classification - arXiv Preprint, under review
O. Razuvayevskaya, B. Wu, J. Leite, F. Heppell, I. Srba, C. Scarton, K. Bontcheva, X. Song
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Team SheffieldVeraAI at SemEval-2023 Task 3: Mono and multilingual approaches for news genre, topic and persuasion technique classification - Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023)
B. Wu, O. Razuvayevskaya, F. Heppell, J. Leite, C. Scarton, K. Bontcheva, X. Song
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A Large-Scale Comparative Study of Accurate COVID-19 Information versus Misinformation - TrueHealth 2023 Workshop, 17th International AAAI Conference on Web and Social Media
Y. Mu, Y. Jiang, F. Heppell, I. Singh, C. Scarton, K. Bontcheva, X. Song