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Exploiting context for rumour detection in social media
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Zubiaga, Arkaitz, Liakata, Maria and Procter, Rob (2017) Exploiting context for rumour detection in social media. In: International Conference on Social Informatics, Oxford, 13-15 Sep 2017. Published in: Social Informatics. SocInfo 2017, 10539 pp. 109-123. ISBN 978-3-319-67216-8. ISSN 0302-9743. doi:10.1007/978-3-319-67217-5_8
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Official URL: http://dx.doi.org/10.1007/978-3-319-67217-5_8
Abstract
Tools that are able to detect unverified information posted on social media during a news event can help to avoid the spread of rumours that turn out to be false. In this paper we compare a novel approach using Conditional Random Fields that learns from the sequential dynamics of social media posts with the current state-of-the-art rumour detection system, as well as other baselines. In contrast to existing work, our classifier does not need to observe tweets querying the stance of a post to deem it a rumour but, instead, exploits context learned during the event. Our classifier has improved precision and recall over the state-of-the-art classifier that relies on querying tweets, as well as outperforming our best baseline. Moreover, the results provide evidence for the generalisability of our classifier.
| Item Type: | Conference Item (Paper) | |||||||||
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| Subjects: | H Social Sciences > HM Sociology | |||||||||
| Divisions: | Faculty of Science > Computer Science | |||||||||
| Library of Congress Subject Headings (LCSH): | Social media, Rumor, Interpersonal communication, Internet -- Social aspects, Mass media and culture, Journalism, Social media -- Political aspects | |||||||||
| Journal or Publication Title: | Social Informatics. SocInfo 2017 | |||||||||
| Publisher: | Springer | |||||||||
| ISBN: | 978-3-319-67216-8 | |||||||||
| ISSN: | 0302-9743 | |||||||||
| Book Title: | Social Informatics | |||||||||
| Official Date: | 3 September 2017 | |||||||||
| Dates: |
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| Date of first compliant deposit: | 19 September 2017 | |||||||||
| Volume: | 10539 | |||||||||
| Page Range: | pp. 109-123 | |||||||||
| DOI: | 10.1007/978-3-319-67217-5_8 | |||||||||
| Status: | Peer Reviewed | |||||||||
| Publication Status: | Published | |||||||||
| Grant number: | , | |||||||||
| RIOXX Funder/Project Grant: |
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| Conference Paper Type: | Paper | |||||||||
| Title of Event: | International Conference on Social Informatics | |||||||||
| Type of Event: | Conference | |||||||||
| Location of Event: | Oxford | |||||||||
| Date(s) of Event: | 13-15 Sep 2017 |
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