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most citedRegional Negative Bias in Word Embeddings Predicts Racial Animus--but only via Name Frequency

4 citations · 6 across the 4 of their papers we have counts for

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cs.CL2022★ 4 cited

Regional Negative Bias in Word Embeddings Predicts Racial Animus--but only via Name Frequency

Austin van Loon, Salvatore Giorgi, Robb Willer +1

The word embedding association test (WEAT) is an important method for measuring linguistic biases against social groups such as ethnic minorities in large text corpora. It does so…