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• W4310576795 startingPage "1484" @default.
• W4310576795 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." @default.
• W4310576795 created "2022-12-12" @default.
• W4310576795 creator A5007362138 @default.
• W4310576795 creator A5053621121 @default.
• W4310576795 date "2022-11-01" @default.
• W4310576795 modified "2023-10-03" @default.
• W4310576795 title "Machine Learning as a Model for Cultural Learning: Teaching an Algorithm What it Means to be Fat" @default.
• W4310576795 cites W1592401919 @default.
• W4310576795 cites W1652138440 @default.
• W4310576795 cites W1966084915 @default.
• W4310576795 cites W1969511003 @default.
• W4310576795 cites W1970111385 @default.
• W4310576795 cites W1971808227 @default.
• W4310576795 cites W1973854618 @default.
• W4310576795 cites W1975849605 @default.
• W4310576795 cites W1981490115 @default.
• W4310576795 cites W1993752770 @default.
• W4310576795 cites W1999583787 @default.
• W4310576795 cites W2005641348 @default.
• W4310576795 cites W2006371035 @default.
• W4310576795 cites W2011589116 @default.
• W4310576795 cites W2013002430 @default.
• W4310576795 cites W2022993718 @default.
• W4310576795 cites W2024065499 @default.
• W4310576795 cites W2025231826 @default.
• W4310576795 cites W2028830181 @default.
• W4310576795 cites W2030278991 @default.
• W4310576795 cites W2038469242 @default.
• W4310576795 cites W2039941235 @default.
• W4310576795 cites W2042149527 @default.
• W4310576795 cites W2042233841 @default.
• W4310576795 cites W2048969074 @default.
• W4310576795 cites W2049324847 @default.
• W4310576795 cites W2053073563 @default.
• W4310576795 cites W2055581077 @default.
• W4310576795 cites W2061982926 @default.
• W4310576795 cites W2065604437 @default.
• W4310576795 cites W2072076329 @default.
• W4310576795 cites W2076198154 @default.
• W4310576795 cites W2083303100 @default.
• W4310576795 cites W2083854944 @default.
• W4310576795 cites W2091135459 @default.
• W4310576795 cites W2100351233 @default.
• W4310576795 cites W2100358344 @default.
• W4310576795 cites W2104190044 @default.
• W4310576795 cites W2108800498 @default.
• W4310576795 cites W2116808802 @default.
• W4310576795 cites W2117667023 @default.
• W4310576795 cites W2118012588 @default.
• W4310576795 cites W2123205780 @default.
• W4310576795 cites W2126278534 @default.
• W4310576795 cites W2126370215 @default.
• W4310576795 cites W2127770685 @default.
• W4310576795 cites W2127878709 @default.
• W4310576795 cites W2130579866 @default.
• W4310576795 cites W2130987742 @default.
• W4310576795 cites W2131163482 @default.
• W4310576795 cites W2135754493 @default.
• W4310576795 cites W2137983587 @default.
• W4310576795 cites W2141815738 @default.
• W4310576795 cites W2149801996 @default.
• W4310576795 cites W2151318302 @default.
• W4310576795 cites W2153321356 @default.
• W4310576795 cites W2153791616 @default.
• W4310576795 cites W2160540543 @default.
• W4310576795 cites W2164457614 @default.
• W4310576795 cites W2166869510 @default.
• W4310576795 cites W2168217710 @default.
• W4310576795 cites W2176287621 @default.
• W4310576795 cites W2204668899 @default.
• W4310576795 cites W2215242187 @default.
• W4310576795 cites W2250539671 @default.
• W4310576795 cites W2333341892 @default.
• W4310576795 cites W2415973339 @default.
• W4310576795 cites W2477031989 @default.
• W4310576795 cites W2533845211 @default.
• W4310576795 cites W2559970435 @default.
• W4310576795 cites W2564636125 @default.
• W4310576795 cites W2565516711 @default.
• W4310576795 cites W2567268209 @default.
• W4310576795 cites W2598802110 @default.
• W4310576795 cites W2614219234 @default.
• W4310576795 cites W2760728148 @default.
• W4310576795 cites W2763088512 @default.
• W4310576795 cites W2769358515 @default.
• W4310576795 cites W2806386716 @default.
• W4310576795 cites W2884001105 @default.
• W4310576795 cites W2890042696 @default.
• W4310576795 cites W2893425640 @default.
• W4310576795 cites W2904897888 @default.
• W4310576795 cites W2904996081 @default.
• W4310576795 cites W2913907987 @default.
• W4310576795 cites W2939112106 @default.
• W4310576795 cites W2951065015 @default.
• W4310576795 cites W2956530858 @default.
• W4310576795 cites W2962739339 @default.
• W4310576795 cites W2963042536 @default.
• W4310576795 cites W2963116854 @default.

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