Arkaitz Zubiaga

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	All	Since 2016
Citations	3330	2854
h-index	33	29
i10-index	48	47

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Co-authors

Maria LiakataProfessor Queen Mary University of London/University of Warwick, Alan Turing Institute AI FellowVerified email at qmul.ac.uk
Rob ProcterProfessor of Social Informatics, University of Warwick; Faculty Fellow, Alan Turing InstituteVerified email at warwick.ac.uk
Víctor FresnoAssociate Professor of Computer Science (UNED)Verified email at lsi.uned.es
Kalina BontchevaProfessor of Text Analytics, University of SheffieldVerified email at sheffield.ac.uk
Raquel MartinezFull Professor of Computer Science, UNED UniversityVerified email at lsi.uned.es
Peter TolmiePrincipal Research Scientist, Wirtschaftsinformatik und Neue Medien, Universität SiegenVerified email at uni-siegen.de
ahmet akerResearch Associate at the University of SheffieldVerified email at dcs.shef.ac.uk
Bo WangUniversity of OxfordVerified email at turing.ac.uk
Iñaki AlegriaIxa group. University of the Basque Country, UPV/EHU. UEU. orcid.org/0000-0002-0272-147Verified email at ehu.eus
Alberto Pérez García-PlazaBitergiaVerified email at garciaplaza.com
Michal LukasikGoogleVerified email at google.com
Heng JiProfessor of Computer Science, University of Illinois at Urbana-Champaign, Amazon ScholarVerified email at illinois.edu
Iñaki San Vicente RoncalSenior Researcher Language Technology, Elhuyar FoundationVerified email at elhuyar.eus
Elena KochkinaUniversity of WarwickVerified email at warwick.ac.uk
Damiano SpinaRMIT UniversityVerified email at rmit.edu.au
Leon DerczynskiITU CopenhagenVerified email at itu.dk
pablo gamalloProfessor of Linguistics, University of Santiago de CompostelaVerified email at usc.es
Trevor CohnSchool of Computing and Information Systems, University of MelbourneVerified email at unimelb.edu.au
Enrique AmigóUNEDVerified email at lsi.uned.es
Adam TsakalidisResearch Fellow, Queen Mary University of London; The Alan Turing InstituteVerified email at turing.ac.uk

Arkaitz Zubiaga

Lecturer (Assistant Professor), Queen Mary University of London

Verified email at qmul.ac.uk - Homepage

Social Media Mining Social Data Science Natural Language Processing Computational Social Science Computational Journalism


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Analysing how people orient to and spread rumours in social media by looking at conversational threads A Zubiaga, M Liakata, R Procter, G Wong Sak Hoi, P Tolmie PloS one 11 (3), e0150989, 2016	369	2016
Detection and resolution of rumours in social media: A survey A Zubiaga, A Aker, K Bontcheva, M Liakata, R Procter ACM Computing Surveys (CSUR) 51 (2), 1-36, 2018	363	2018
SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours L Derczynski, K Bontcheva, M Liakata, R Procter, GWS Hoi, A Zubiaga Proceedings of the 11th International Workshop on Semantic Evaluation …, 2017	176	2017
Real‐time classification of twitter trends A Zubiaga, D Spina, R Martínez, V Fresno Journal of the Association for Information Science and Technology 66 (3 …, 2015	147	2015
Towards real-time summarization of scheduled events from twitter streams A Zubiaga, D Spina, E Amigó, J Gonzalo ACM conference on Hypertext and Social Media, 319-320, 2012	123	2012
Classifying trending topics: a typology of conversation triggers on twitter A Zubiaga, D Spina, V Fresno, R Martínez ACM International Conference on Information and Knowledge Management, 2461-2464, 2011	109	2011
Hawkes processes for continuous time sequence classification: an application to rumour stance classification in twitter M Lukasik, PK Srijith, D Vu, K Bontcheva, A Zubiaga, T Cohn Association for Computational Linguistics, 393-398, 2016	101	2016
Towards detecting rumours in social media A Zubiaga, M Liakata, R Procter, K Bontcheva, P Tolmie AAAI Workshop on AI for Cities, 2015	95	2015
Tweet, but verify: epistemic study of information verification on twitter A Zubiaga, H Ji Social Network Analysis and Mining 4 (1), 163, 2014	89	2014
Making the most of tweet-inherent features for social spam detection on Twitter B Wang, A Zubiaga, M Liakata, R Procter International World Wide Web Conference, 2015	84	2015
All-in-one: Multi-task learning for rumour verification E Kochkina, M Liakata, A Zubiaga arXiv preprint arXiv:1806.03713, 2018	81	2018
Enhancing navigation on wikipedia with social tags A Zubiaga arXiv preprint arXiv:1202.5469, 2012	78	2012
Learning reporting dynamics during breaking news for rumour detection in social media A Zubiaga, M Liakata, R Procter arXiv preprint arXiv:1610.07363, 2016	76	2016
SemEval-2019 task 7: RumourEval, determining rumour veracity and support for rumours G Gorrell, E Kochkina, M Liakata, A Aker, A Zubiaga, K Bontcheva, ... Proceedings of the 13th International Workshop on Semantic Evaluation, 845-854, 2019	75*	2019
Exploiting context for rumour detection in social media A Zubiaga, M Liakata, R Procter International Conference on Social Informatics, 109-123, 2017	73	2017
Stance classification in rumours as a sequential task exploiting the tree structure of social media conversations A Zubiaga, E Kochkina, M Liakata, R Procter, M Lukasik International Conference on Computational Linguistics, 2016	70	2016
Getting the most out of social annotations for web page classification A Zubiaga, R Martínez, V Fresno ACM Symposium on Document Engineering, 74-83, 2009	70	2009
Crowdsourcing the annotation of rumourous conversations in social media A Zubiaga, M Liakata, R Procter, K Bontcheva, P Tolmie International World Wide Web Conference, 347-353, 2015	61	2015
Discourse-aware rumour stance classification in social media using sequential classifiers A Zubiaga, E Kochkina, M Liakata, R Procter, M Lukasik, K Bontcheva, ... Information Processing & Management 54 (2), 273-290, 2018	60	2018
Tags vs shelves: from social tagging to social classification A Zubiaga, C Körner, M Strohmaier ACM Conference on Hypertext and Hypermedia, 93-102, 2011	57	2011

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