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Classifying trending topics: a typology of conversation triggers on Twitter., , , and . CIKM, page 2461-2464. ACM, (2011)Gaussian Processes for Rumour Stance Classification in Social Media., , , , , and . ACM Trans. Inf. Syst., 37 (2): 20:1-20:24 (2019)Discourse-aware rumour stance classification in social media using sequential classifiers., , , , , , , and . Inf. Process. Manage., 54 (2): 273-290 (2018)Processing social media in real-time., , , and . Inf. Process. Manage., 56 (3): 1081-1083 (2019)Reports of the Workshops Held at the 2016 International AAAI Conference on Web and Social Media., , , , , , , , , and 1 other author(s). AI Magazine, 37 (4): 89-93 (2016)A Longitudinal Assessment of the Persistence of Twitter Datasets.. CoRR, (2017)SemEval-2019 Task 7: RumourEval, Determining Rumour Veracity and Support for Rumours., , , , , , and . SemEval@NAACL-HLT, page 845-854. Association for Computational Linguistics, (2019)WarwickDCS: From Phrase-Based to Target-Specific Sentiment Recognition., , , , , , , and . SemEval@NAACL-HLT, page 657-663. The Association for Computer Linguistics, (2015)Supporting the Use of User Generated Content in Journalistic Practice., , , , , , , and . CHI, page 3632-3644. ACM, (2017)Overview of the M-WePNaD Task: Multilingual Web Person Name Disambiguation at IberEval 2017., , , , , and . IberEval@SEPLN, volume 1881 of CEUR Workshop Proceedings, page 113-127. CEUR-WS.org, (2017)