Identifying Twitter users who repost unreliable news sources with linguistic information

Mu, Y. and Aletras, N. orcid.org/0000-0003-4285-1965 (2020) Identifying Twitter users who repost unreliable news sources with linguistic information. PeerJ Computer Science, 6. e325. ISSN 2376-5992

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2020 Mu and and Aletras. Distributed under Creative Commons CC -BY 4 (http://creativecommons.org/licenses/by/4.0/)
Keywords: Social Media; Natural Language Processing; Disinformation
Dates:
  • Accepted: 9 November 2020
  • Published (online): 14 December 2020
  • Published: 14 December 2020
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 21 Jan 2021 17:04
Last Modified: 21 Jan 2021 17:04
Status: Published
Publisher: PeerJ
Refereed: Yes
Identification Number: https://doi.org/10.7717/peerj-cs.325

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