BASE : a Bias-Aware news Search Engine for improving user awareness

Paramita, M., Kasinidou, M., Kleanthous, S. et al. (2 more authors) (2022) BASE : a Bias-Aware news Search Engine for improving user awareness. In: Proceedings of DESIRES 2022. DESIRES 2022 – 3rd International Conference on Design of Experimental Search & Information REtrieval Systems, 30-31 Aug 2022, San Jose, CA, USA. CEUR Workshop Proceedings .

Abstract

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Authors/Creators:
  • Paramita, M.
  • Kasinidou, M.
  • Kleanthous, S.
  • Hopfgartner, F.
  • Paramita, M.
Copyright, Publisher and Additional Information: © 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0) see: https://creativecommons.org/licenses/by/4.0.
Keywords: bias in search engines; interface design; evaluation
Dates:
  • Published (online): August 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: 23 Aug 2022 07:09
Last Modified: 12 Jul 2023 09:48
Published Version: https://desires.dei.unipd.it/2022/
Status: Published online
Publisher: CEUR Workshop Proceedings
Refereed: Yes
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