Abstract
While the web offers a great potential to find and share information, the cognitively demanding conditions of online interactions can leave users vulnerable to cognitive biases, such as the confirmation bias-the tendency to favor information that confirms prior attitudes and beliefs when searching for, selecting, interpreting, sharing, and recalling information. This can negatively impact individuals' decision-making and is likely to drive ideological polarization and extremism. With my dissertation, I am investigating whether and how interactive bias mitigation interventions, with a special focus on confirmation bias, could empower web users in making informed, unbiased, and autonomous choices. Based on my findings and observations, I plan to build a framework of user-and context-adaptive bias mitigation approaches during different kinds of web interactions.
Original language | English |
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Title of host publication | UMAP2022 - Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization |
Publisher | Association for Computing Machinery (ACM) |
Pages | 316-320 |
Number of pages | 5 |
ISBN (Electronic) | 978-1-4503-9207-5 |
DOIs | |
Publication status | Published - 2022 |
Event | 30th ACM Conference on User Modeling, Adaptation and Personalization, UMAP2022 - Virtual, Online, Spain Duration: 4 Jul 2022 → 7 Jul 2022 |
Publication series
Name | UMAP2022 - Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization |
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Conference
Conference | 30th ACM Conference on User Modeling, Adaptation and Personalization, UMAP2022 |
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Country/Territory | Spain |
City | Virtual, Online |
Period | 4/07/22 → 7/07/22 |
Bibliographical note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-careOtherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.