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Analysing State-Backed Propaganda Websites: a New Dataset and Linguistic Study.

, , и . EMNLP, стр. 5729-5741. Association for Computational Linguistics, (2023)

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Measuring the Impact of Readability Features in Fake News Detection., , , , , , и . LREC, стр. 1404-1413. European Language Resources Association, (2020)Classifying COVID-19 vaccine narratives., , , и . CoRR, (2022)Categorising Fine-to-Coarse Grained Misinformation: An Empirical Study of the COVID-19 Infodemic., , , , , и . RANLP, стр. 556-567. INCOMA Ltd., Shoumen, Bulgaria, (2023)ExU: AI Models for Examining Multilingual Disinformation Narratives and Understanding their Spread, , , , , и . (2024)Linguistic Analysis Model for Monitoring User Reaction on Satirical News for Brazilian Portuguese., , , , , и . PROPOR, том 12037 из Lecture Notes in Computer Science, стр. 313-320. Springer, (2020)Special Issue on Disinformation, Hoaxes and Propaganda within Online Social Networks and Media., , и . Online Soc. Networks Media, (2021)SemEval-2022 Task 2: Multilingual Idiomaticity Detection and Sentence Embedding., , , , , и . SemEval@NAACL, стр. 107-121. Association for Computational Linguistics, (2022)Controlling Formality in Low-Resource NMT with Domain Adaptation and Re-Ranking: SLT-CDT-UoS at IWSLT2022., , и . IWSLT@ACL, стр. 341-350. Association for Computational Linguistics, (2022)Don't waste a single annotation: improving single-label classifiers through soft labels., , , , , и . EMNLP (Findings), стр. 5347-5355. Association for Computational Linguistics, (2023)Assessing the Representations of Idiomaticity in Vector Models with a Noun Compound Dataset Labeled at Type and Token Levels., , , , и . ACL/IJCNLP (1), стр. 2730-2741. Association for Computational Linguistics, (2021)