机器学习作为文化学习的模型:教一个算法什么是脂肪意味着什么
Alina Arseniev-Koehler1,2, Jacob G Foster3
1Department of Sociology, Purdue University, West Lafayette, IN, USA.
概括
公共文化通过媒体塑造了我们对体重的理解. 这项研究使用神经词嵌入来建模个人如何学习和激活文化模式,揭示语言中的偏见.
科学领域:
- 计算语言学计算语言学
- 文化心理学 文化心理学
- 媒体研究 媒体研究
背景情况:
- 公共文化,特别是媒体,影响人们对体重的看法.
- 个体内化公共文化意义的认知机制仍然不清楚.
研究的目的:
- 提出神经词嵌入作为模式学习的计算模型.
- 从自然语言数据实证地研究个人如何学习和激活与体重相关的文化模式.
主要方法:
- 利用神经词嵌入,一种计算文本分析技术.
- 从关于体重的新闻文章中提取了四个较低级别的模式 (性别,道德,健康,阶级).
- 量化了体重语言与这些模式之间的关联.
主要成果:
- 证明神经词嵌入可以模拟模式学习和激活.
- 在公共话语中确定与体重相关的特定的性别,道德,健康和阶级含义.
- 量化了身体体重语言如何为这些方案"填补空白".
结论:
- 模式学习是将公共文化融入个人理解的关键机制.
- 神经词嵌入为研究文化学习和模式激活提供了一种可行的方法.
- 这些发现突出了机器学习模型在语言数据中延续存在的社会偏见的潜力.
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