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Detecting Stance of Authorities Towards Rumors in Arabic Tweets: A Preliminary Study.

, and . ECIR (2), volume 13981 of Lecture Notes in Computer Science, page 430-438. Springer, (2023)

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ArabicWeb16: A New Crawl for Today's Arabic Web., , , , and . SIGIR, page 673-676. ACM, (2016)Re-ranking Web Search Results for Better Fact-Checking: A Preliminary Study., , and . CIKM, page 1783-1786. ACM, (2018)Studying effectiveness of Web search for fact checking., and . J. Assoc. Inf. Sci. Technol., 73 (5): 738-751 (2022)EveTAR: Building a Large-Scale Multi-Task Test Collection over Arabic Tweets., , , , and . CoRR, (2017)QU-BIGIR at SemEval 2017 Task 3: Using Similarity Features for Arabic Community Question Answering Forums., , and . SemEval@ACL, page 360-364. Association for Computational Linguistics, (2017)BEST of KAUST at TREC 2011: Building Effective Search in Twitter., , , and . TREC, volume 500-296 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2011)bigIR at TREC 2020: Simple but Deep Retrieval of Passages and Documents., , and . TREC, volume 1266 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2020)QweetFinder: Real-Time Finding and Filtering of Question Tweets., , , and . ECIR, volume 10193 of Lecture Notes in Computer Science, page 766-769. (2017)The CLEF-2023 CheckThat! Lab: Checkworthiness, Subjectivity, Political Bias, Factuality, and Authority., , , , , , , , , and 3 other author(s). ECIR (3), volume 13982 of Lecture Notes in Computer Science, page 506-517. Springer, (2023)Overview of the CLEF-2021 CheckThat! Lab Task 2 on Detecting Previously Fact-Checked Claims in Tweets and Political Debates., , , , , , , , and . CLEF (Working Notes), volume 2936 of CEUR Workshop Proceedings, page 393-405. CEUR-WS.org, (2021)