Utilizing subjectivity level to mitigate identity term bias in toxic comments classification

Zhao, Z. orcid.org/0000-0002-3060-269X, Zhang, Z. orcid.org/0000-0002-8587-8618 and Hopfgartner, F. orcid.org/0000-0003-0380-6088 (2022) Utilizing subjectivity level to mitigate identity term bias in toxic comments classification. Online Social Networks and Media, 29. 100205.

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Copyright, Publisher and Additional Information: © 2022 Elsevier B.V. This is an author produced version of a paper subsequently published in Online Social Networks and Media. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: Language model; Transfer learning; Hate speech; Classification
Dates:
  • Accepted: 3 March 2022
  • Published (online): 21 March 2022
  • Published: May 2022
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 03 May 2022 11:12
Last Modified: 03 May 2022 11:12
Status: Published
Publisher: Elsevier BV
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.osnem.2022.100205

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