Gorrell, G., Bontcheva, K. orcid.org/0000-0001-6152-9600, Derczynski, L. et al. (3 more authors) (Submitted: 2018) RumourEval 2019: Determining rumour veracity and support for rumours. arXiv. (Submitted)
Abstract
This is the proposal for RumourEval-2019, which will run in early 2019 as part of that year's SemEval event. Since the first RumourEval shared task in 2017, interest in automated claim validation has greatly increased, as the dangers of "fake news" have become a mainstream concern. Yet automated support for rumour checking remains in its infancy. For this reason, it is important that a shared task in this area continues to provide a focus for effort, which is likely to increase. We therefore propose a continuation in which the veracity of further rumours is determined, and as previously, supportive of this goal, tweets discussing them are classified according to the stance they take regarding the rumour. Scope is extended compared with the first RumourEval, in that the dataset is substantially expanded to include Reddit as well as Twitter data, and additional languages are also included.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 The Author(s). For reuse permissions, please contact the Author(s). |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Funding Information: | Funder Grant number EUROPEAN COMMISSION - HORIZON 2020 654024 EUROPEAN COMMISSION - HORIZON 2020 COMRADES - 687847 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 26 Mar 2019 10:43 |
Last Modified: | 26 Mar 2019 10:43 |
Published Version: | https://arxiv.org/abs/1809.06683 |
Status: | Submitted |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:143173 |