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PHEMEPlus : enriching social media rumour verification with external evidence

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Dougrez-Lewis, John, Kochkina, Elena, Arana-Catania, Miguel, Liakata, Maria and He, Yulan (2022) PHEMEPlus : enriching social media rumour verification with external evidence. In: The Fifth Workshop on Fact Extraction and VERification (FEVER), Hybrid: Dublin, Ireland + Online, 26 May 2022. Published in: Proceedings of the Fifth Workshop on Fact Extraction and VERification (FEVER) pp. 49-58. ISBN 9781952148026. doi:10.18653/v1/2022.fever-1.6

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Official URL: https://doi.org/10.18653/v1/2022.fever-1.6

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Abstract

Work on social media rumour verification utilises signals from posts, their propagation and users involved. Other lines of work target identifying and fact-checking claims based on information from Wikipedia, or trustworthy news articles without considering social media context. However works combining the information from social media with external evidence from the wider web are lacking. To facilitate research in this direction, we release a novel dataset, PHEMEPlus, an extension of the PHEME benchmark, which contains social media conversations as well as relevant external evidence for each rumour. We demonstrate the effectiveness of incorporating such evidence in improving rumour verification models. Additionally, as part of the evidence collection, we evaluate various ways of query formulation to identify the most effective method.

Item Type: Conference Item (Paper)
Subjects: H Social Sciences > HM Sociology
P Language and Literature > P Philology. Linguistics
Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Divisions: Faculty of Science, Engineering and Medicine > Science > Computer Science
Library of Congress Subject Headings (LCSH): Social media -- Data processing , Fake news , Computational intelligence, Natural language processing (Computer science), Computational linguistics
Journal or Publication Title: Proceedings of the Fifth Workshop on Fact Extraction and VERification (FEVER)
Publisher: ACL
ISBN: 9781952148026
Official Date: May 2022
Dates:
DateEvent
May 2022Published
3 April 2022Accepted
Number of Pages: 10
Page Range: pp. 49-58
DOI: 10.18653/v1/2022.fever-1.6
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access (Creative Commons)
Date of first compliant deposit: 9 May 2022
Date of first compliant Open Access: 10 May 2022
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
EP/V048597/1[EPSRC] Engineering and Physical Sciences Research Councilhttp://dx.doi.org/10.13039/501100000266
Doctoral Training Grant[EPSRC] Engineering and Physical Sciences Research Councilhttp://dx.doi.org/10.13039/501100000266
EP/V030302/1Alan Turing Institutehttp://dx.doi.org/10.13039/100012338
EP/V020579/1Alan Turing Institutehttp://dx.doi.org/10.13039/100012338
Conference Paper Type: Paper
Title of Event: The Fifth Workshop on Fact Extraction and VERification (FEVER)
Type of Event: Workshop
Location of Event: Hybrid: Dublin, Ireland + Online
Date(s) of Event: 26 May 2022
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