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Automatic Fact-Checking Using Context and Discourse Information., , , , , , , and . ACM J. Data Inf. Qual., 11 (3): 12:1-12:27 (2019)Multi-Task Ordinal Regression for Jointly Predicting the Trustworthiness and the Leading Political Ideology of News Media., , , , and . NAACL-HLT (1), page 2109-2116. Association for Computational Linguistics, (2019)Generating Answer Candidates for Quizzes and Answer-Aware Question Generators., , , , , and . CoRR, (2021)SOLID: A Large-Scale Semi-Supervised Dataset for Offensive Language Identification., , , , and . ACL/IJCNLP (Findings), volume ACL/IJCNLP 2021 of Findings of ACL, page 915-928. Association for Computational Linguistics, (2021)We Built a Fake News / Click Bait Filter: What Happened Next Will Blow Your Mind!, , , and . RANLP, page 334-343. INCOMA Ltd., (2017)SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval 2020)., , , , , , , , and . (July 2020)Overview of the CLEF-2019 CheckThat! Lab: Automatic Identification and Verification of Claims. Task 1: Check-Worthiness., , , , and . CLEF (Working Notes), volume 2380 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)Leaf: Multiple-Choice Question Generation., , , , , and . ECIR (2), volume 13186 of Lecture Notes in Computer Science, page 321-328. Springer, (2022)Predicting Factuality of Reporting and Bias of News Media Sources., , , , and . EMNLP, page 3528-3539. Association for Computational Linguistics, (2018)The Case for Being Average: A Mediocrity Approach to Style Masking and Author Obfuscation - (Best of the Labs Track at CLEF-2017)., , , , , and . CLEF, volume 10456 of Lecture Notes in Computer Science, page 173-185. Springer, (2017)