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Categorising Fine-to-Coarse Grained Misinformation: An Empirical Study of the COVID-19 Infodemic.

, , , , , and . RANLP, page 556-567. INCOMA Ltd., Shoumen, Bulgaria, (2023)

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Rumour verification through recurring information and an inner-attention mechanism., , , and . Online Soc. Networks Media, (2019)SemEval-2019 Task 7: RumourEval, Determining Rumour Veracity and Support for Rumours., , , , , , and . SemEval@NAACL-HLT, page 845-854. Association for Computational Linguistics, (2019)Identification of Good and Bad News on Twitter., and . RANLP, page 9-17. INCOMA Ltd., (2019)UDE at eRisk 2019: Early Risk Prediction on the Internet., , and . CLEF (Working Notes), volume 2380 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)Uni-DUE Student Team: Tackling fact checking through decomposable attention neural network., and . CoRR, (2018)'A Modern Up-To-Date Laptop' - Vagueness in Natural Language Queries for Product Search., , , , , and . CoRR, (2020)What works and what does not: Classifier and feature analysis for argument mining., , , , , , and . ArgMining@EMNLP, page 91-96. Association for Computational Linguistics, (2017)Anorexia Topical Trends in Self-declared Reddit Users., , , , and . CIRCLE, volume 2621 of CEUR Workshop Proceedings, CEUR-WS.org, (2020)The Impact of Twitter Features on Credibility Ratings - An Explorative Examination Combining Psychological Measurements and Feature Based Selection Methods., , and . HICSS, page 1-10. ScholarSpace, (2019)Third International Workshop on Recent Trends in News Information Retrieval (NewsIR'19)., , , , , , and . SIGIR, page 1429-1431. ACM, (2019)