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PANACEA dataset - Heterogeneous COVID-19 Claims

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Arana-Catania, M., Kochkina, Elena, Zubiaga, Arkaitz, Liakata, Maria, Procter, Rob and He, Yulan (2022) PANACEA dataset - Heterogeneous COVID-19 Claims. [Dataset]

Research output not available from this repository, contact author.
Official URL: https://doi.org/10.5281/zenodo.6493847

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Item Type: Dataset
Subjects: Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
R Medicine > RA Public aspects of medicine
Divisions: Faculty of Science, Engineering and Medicine > Science > Computer Science
Library of Congress Subject Headings (LCSH): COVID-19 Pandemic, 2020- , Natural language processing (Computer science), Neural networks (Computer science), Computational linguistics
Publisher: Zenodo
Official Date: 9 May 2022
Dates:
DateEvent
9 May 2022Created
Status: Not Peer Reviewed
Publication Status: Published
Media of Output: .csv
Access rights to Published version: Open Access
Copyright Holders: University of Warwick
Description:

This dataset contains a heterogeneous set of True and False COVID claims and online sources of information for each claim.

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
EP/T017112/1[EPSRC] Engineering and Physical Sciences Research Councilhttp://dx.doi.org/10.13039/501100000266
EP/V030302/1UK Research and Innovationhttp://dx.doi.org/10.13039/100014013
EP/V020579/1UK Research and Innovationhttp://dx.doi.org/10.13039/100014013
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Contributors:
ContributionNameContributor ID
DepositorArana-Catania, M.100726

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