So far a lot of LIS has been reading about critical algorithms and critical data studies, critiquing the racist history of the US library system, comparing different research methods in information including indigenous systems of knowledge, and learning how to search databases.
Understanding and assessing the role that data curation and archival practices have on algorithmic bias and foreclosing of knowledge is an increasingly important part of library and information work.
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@vortex_egg is this pertinent beyond who gets credited for discoveries? You know, a variant of "history is the opinion of the victorious"? Or is there selectivity in which knowledge gets stored and which doesn't?
