Proceedings of the 4th Workshop on Gender Bias in Natural Language Processing (GeBNLP) 2022
DOI: 10.18653/v1/2022.gebnlp-1.2
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Analysis of Gender Bias in Social Perception and Judgement Using Chinese Word Embeddings

Abstract: Gender is a construction in line with social perception and judgment. An important means of this construction is through languages. When natural language processing tools, such as word embeddings, associate gender with the relevant categories of social perception and judgment, it is likely to cause bias and harm to those groups that do not conform to the mainstream social perception and judgment. Using 12,251 Chinese word embeddings as intermedium, this paper studies the relationship between social perception … Show more

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