most citedWide range screening of algorithmic bias in word embedding models using large sentiment lexicons reveals underreported bias types

54 citations · 54 across the 1 of their papers we have counts for

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1 paper

cs.CY2019★ 54 cited

Wide range screening of algorithmic bias in word embedding models using large sentiment lexicons reveals underreported bias types

David Rozado

This work describes a large-scale analysis of sentiment associations in popular word embedding models along the lines of gender and ethnicity but also along the less frequently stu…