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Stance classification in rumours as a sequential task exploiting the tree structure of social media conversations
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Zubiaga, Arkaitz, Kochkina, Elena, Liakata, Maria, Procter, Rob and Lukasik, Michal (2016) Stance classification in rumours as a sequential task exploiting the tree structure of social media conversations. In: 26th International Conference on Computational Linguistics (COLING), Osaka, Japan, 11-16 Dec 2016. Published in: Proceedings of the International Conference on Computational Linguistics
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Official URL: http://coling2016.anlp.jp/doc/accepted_poster.pdf
Abstract
Rumour stance classification, the task that determines if each tweet in a collection discussing a rumour is supporting, denying, questioning or simply commenting on the rumour, has been attracting substantial interest. Here we introduce a novel approach that makes use of the sequence of transitions observed in tree-structured conversation threads in Twitter. The conversation threads are formed by harvesting users’ replies to one another, which results in a nested tree-like structure. Previous work addressing the stance classification task has treated each tweet as a separate unit. Here we analyse tweets by virtue of their position in a sequence and test two sequential classifiers, Linear-Chain CRF and Tree CRF, each of which makes different assumptions about the conversational structure. We experiment with eight Twitter datasets, collected during breaking news, and show that exploiting the sequential structure of Twitter conversations achieves significant improvements over the non-sequential methods. Our work is the first to model Twitter conversations as a tree structure in this manner, introducing a novel way of tackling NLP tasks on Twitter conversations.
Item Type: | Conference Item (Paper) | ||||
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Subjects: | H Social Sciences > HM Sociology Q Science > QA Mathematics |
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||
Library of Congress Subject Headings (LCSH): | Online social networks, Natural language processing (Computer science), Rumor, Twitter (Firm) | ||||
Journal or Publication Title: | Proceedings of the International Conference on Computational Linguistics | ||||
Publisher: | Association for Natural Language Processing (ANLP) | ||||
Official Date: | 21 September 2016 | ||||
Dates: |
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Status: | Peer Reviewed | ||||
Date of first compliant deposit: | 20 October 2016 | ||||
Date of first compliant Open Access: | 21 October 2016 | ||||
Funder: | Seventh Framework Programme (European Commission) (FP7), Engineering and Physical Sciences Research Council (EPSRC) | ||||
Grant number: | 611233 (FP7), EP/K000128/1 (EPSRC) | ||||
Conference Paper Type: | Paper | ||||
Title of Event: | 26th International Conference on Computational Linguistics (COLING) | ||||
Type of Event: | Conference | ||||
Location of Event: | Osaka, Japan | ||||
Date(s) of Event: | 11-16 Dec 2016 | ||||
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