arsena-k/Word2Vec-bias-extraction
How are words loaded with meaning? Repository accompanying research by Alina Arseniev-Koehler and Jacob G. Foster, titled "Machine learning as a model for cultural learning: teaching an algorithm what it means to be fat." https://journals.sagepub.com/doi/full/10.1177/00491241221122603
This project helps social scientists and cultural researchers understand how language subtly embeds cultural biases, specifically focusing on body weight and health. By analyzing large text datasets, like news articles, it identifies what meanings (e.g., gender, morality, health, socio-economic status) are associated with words related to body weight. Researchers can input text data and receive quantified insights into underlying cultural schemata present in public discourse.
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Use this if you are a social scientist or cultural researcher wanting to systematically uncover and measure hidden biases within text, particularly how concepts like gender or morality are implicitly linked to specific terms.
Not ideal if you need a quick, off-the-shelf tool for general text analysis or sentiment analysis without a deep interest in the nuanced, dimension-based extraction of cultural connotations.
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Jul 21, 2023
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