Learning from online hate speech and digital racism: From automated to diffractive methods in social media analysis

Giraud, E.H. orcid.org/0000-0003-0845-9804, Poole, E., de Quincey, E. et al. (1 more author) (2025) Learning from online hate speech and digital racism: From automated to diffractive methods in social media analysis. The Sociological Review. ISSN 0038-0261

Abstract

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Item Type: Article
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© 2025 The Authors. Except as otherwise noted, this author-accepted version of a journal article published in The Sociological Review is made available via the University of Sheffield Research Publications and Copyright Policy under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/

© The Author(s) 2025. This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).

Keywords: automated hate speech detection; digital methods; digital racism; hate speech; Islamophobia; Twitter/X
Dates:
  • Published: 8 January 2025
  • Published (online): 8 January 2025
  • Accepted: 10 October 2024
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Social Sciences (Sheffield) > Department of Sociological Studies (Sheffield)
Funding Information:
Funder
Grant number
ARTS AND HUMANITIES RESEARCH COUNCIL
AH/T004460/1
Depositing User: Symplectic Sheffield
Date Deposited: 22 Oct 2024 10:51
Last Modified: 20 Jan 2025 11:43
Status: Published online
Publisher: SAGE Publications
Refereed: Yes
Identification Number: 10.1177/00380261241305260
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