Participatory auditing workshops with users produce a taxonomy of epistemic, representational, infrastructural, and social impacts from ranked search results while exposing limits when neural models appear competent.
In Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020(2020), pp
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All Eyes on the Ranker: Participatory Auditing to Surface Blind Spots in Ranked Search Results
Participatory auditing workshops with users produce a taxonomy of epistemic, representational, infrastructural, and social impacts from ranked search results while exposing limits when neural models appear competent.