Zubiaga, Arkaitz, Liakata, Maria, Procter, Rob, Bontcheva, Kalina and Tolmie, Peter (2015) Towards detecting rumours in social media. In: AAAI Workshop on AI for Cities , Austin, Texas, 25-26 Jan 2015

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Abstract

The spread of false rumours during emergencies can jeopardise the well-being of citizens as they are monitoring the stream of news from social media to stay abreast of the latest updates. In this paper, we describe the methodology we have developed within the PHEME project for the collection and sampling of conversational threads, as well as the tool we have developed to facilitate the annotation of these threads so as to identify rumourous ones. We describe the annotation task conducted on threads collected during the 2014 Ferguson unrest and we present and analyse our findings. Our results show that we can collect effectively social media rumours and identify multiple rumours associated with a range of stories that would have been hard to identify by relying on existing techniques that need manual input of rumour-specific keywords.

Item Type:	Conference Item (Paper)
Subjects:	P Language and Literature > P Philology. Linguistics
Divisions:	Faculty of Science, Engineering and Medicine > Science > Computer Science
Library of Congress Subject Headings (LCSH):	Rumor in mass media
Official Date:	2015
Dates:	Date Event 2015 UNSPECIFIED
Status:	Peer Reviewed
Publication Status:	Published
Date of first compliant deposit:	7 April 2016
Date of first compliant Open Access:	7 April 2016
Funder:	Seventh Framework Programme (European Commission) (FP7)
Conference Paper Type:	Paper
Title of Event:	AAAI Workshop on AI for Cities
Type of Event:	Workshop
Location of Event:	Austin, Texas
Date(s) of Event:	25-26 Jan 2015
Related URLs:	Organisation

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