Machine Learning as a Model for Cultural Learning: Teaching an Algorithm What it Means to be Fat
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DOI: 10.1177/00491241221122603
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References listed on IDEAS
- Saguy, Abigail C. & Frederick, David & Gruys, Kjerstin, 2014. "Reporting risk, producing prejudice: How news reporting on obesity shapes attitudes about health risk, policy, and prejudice," Social Science & Medicine, Elsevier, vol. 111(C), pages 125-133.
- Puhl, R.M. & Heuer, C.A., 2010. "Obesity stigma: Important considerations for public health," American Journal of Public Health, American Public Health Association, vol. 100(6), pages 1019-1028.
- Molly Lewis & Gary Lupyan, 2020. "Gender stereotypes are reflected in the distributional structure of 25 languages," Nature Human Behaviour, Nature, vol. 4(10), pages 1021-1028, October.
- Gabriel Grand & Idan Asher Blank & Francisco Pereira & Evelina Fedorenko, 2022. "Semantic projection recovers rich human knowledge of multiple object features from word embeddings," Nature Human Behaviour, Nature, vol. 6(7), pages 975-987, July.
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Cited by:
- Taylor, Marshall A. & Stoltz, Dustin S., 2024. "A Workflow for Analyzing Cultural Schemas in Texts," SocArXiv zvwn2, Center for Open Science.
- Pop, Ioana Andreea & Gielens, Erwin & Kottmann, Hannah & Achterberg, Peter, 2024. "Exploring the discourses around microdosing psychedelics within the r/microdosing online community," Social Science & Medicine, Elsevier, vol. 347(C).
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Keywords
word embeddings; schema; culture; meaning; cognition;All these keywords.
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