Cornell Chronicle: Words used in text-mining research carry bias, study finds

Cornell Chronicle: Words used in text-mining research carry bias, study finds. “The word lists packaged and shared amongst researchers to measure for bias in online texts often carry words, or ‘seeds,’ with baked-in biases and stereotypes, which could skew their findings, new Cornell research finds. For instance, the presence of the seed term ‘mom’ in a text analysis exploring gender in domestic work would skew results female.”

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