ArticleSociological methods & research2022
Machine Learning as a Model for Cultural Learning: Teaching an Algorithm What it Means to be Fat.
Article in Sociological methods & research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed.
- A BP neural network model for intelligent quality monitoring of industry-education integration and talent cultivation.Scientific reports · 2026Article
- Anchoring race: improving the construction of race dimensions in word embeddings.Journal of computational social science · 2026Article
- Cultural differences in the beauty premium.Scientific reports · 2025Article
- Humor as a window into generative AI bias.Scientific reports · 2025Article
- The news in black and white: word embeddings quantify racism in South African news.EPJ data science · 2025Article
- Whose voice matters? Word embeddings reveal identity bias in news quotes.EPJ data science · 2025Article
- Theoretical foundations and limits of word embeddings: What types of meaning can they capture?Sociological methods & research · 2024Article
- Analyzing differences between discursive communities using dialectograms.Scientific reports · 2024Article
- Talk of Family: How Institutional Overlap Shapes Family-Related Discourse Across Social Class.The Russell Sage Foundation journal of the social sciences : RSF · 2024Article
- Effect of Recent Abortion Legislation on Twitter User Engagement, Sentiment, and Expressions of Trust in Clinicians and Privacy of Health Information: Content Analysis.Journal of medical Internet research · 2023Article
- Using word embeddings to investigate cultural biases.The British journal of social psychology · 2023Review
- Integrating topic modeling and word embedding to characterize violent deaths.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Public culture is a powerful source of cognitive socialization; for example, media language is full of meanings about body weight. Yet it remains unclear how individuals process meanings in public culture. We suggest that schema learning is a core mechanism by which public culture becomes personal culture. We propose that a burgeoning approach in computational text analysis - neural word embeddings - can be interpreted as a formal model for cultural learning. Embeddings allow us to empirically model schema learning and activation from natural language data. We illustrate our approach by extracting four lower-order schemas from news articles: the gender, moral, health, and class meanings of body weight. Using these lower-order schemas we quantify how words about body weight "fill in the blanks" about gender, morality, health, and class. Our findings reinforce ongoing concerns that machine-learning models (e.g., of natural language) can encode and reproduce harmful human biases.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.