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
The BASE prototype aims to improve user awareness of biases in search engine results. It utilises existing resources and NLP tools to identify biases in news articles. It incorporates bias visualisation features to inform users of biases in each news article and at the search results level. It also incorporates results reranking features to allow users to retrieve different sets of results based on their search preferences. Preliminary evaluation results suggest the prototype achieves a positive usability score (64.3 out of 100) and has a potential for increasing user awareness of biases, with the reranking features rated more useful than the bias visualisation features.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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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: |
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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 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:190267 |