自然语言中的交叉种族性别刻板印象
Han-Wu-Shuang Bao1, Peter Gries1
1Manchester China Institute, University of Manchester, Manchester, UK.
The British journal of social psychology
|April 24, 2024
概括
这项研究揭示了亚裔和黑人男性和女性的细微种族和性别刻板印象. 调查结果显示,亚洲男性被视为不那么男子气概,而亚洲男性和女性都被认为比黑人更聪明,但不那么自信.
科学领域:
- 社会心理学 社会心理学
- 计算语言学 计算语言学
- 社会学 社会学 社会学
背景情况:
- 现有的关于种族和性别刻板印象的研究提出了不同的发现.
- 了解这些刻板印象对于解决社会偏见至关重要.
研究的目的:
- 探索与亚裔和黑人男性和女性相关的性别,身体力量,温暖和能力刻板印象.
- 用先进的计算方法分析这些刻板印象是如何在自然语言中表现出来的.
主要方法:
- 使用BERT语言模型,预先训练了各种文本数据 (书籍,新闻,维基百科,Reddit,Twitter).
- 使用填充面具关联测试 (FMAT) 来测量与刻板印象相关的自然语言命题.
- 检查了关于男性性-女性性,身体力量,温暖和能力的刻板印象.
主要成果:
- 亚洲男性被刻板印象为不那么男子气概和不那么道德/值得信赖的比黑人男性.
- 与黑人男性和黑人女性相比,亚洲男性和亚洲女性都被认为是肌肉/运动能力较差,自信/主导程度较低.
- 亚洲人 (男性和女性) 被刻板印象为比黑人更有社交性/友好性,更有能力/聪明.
结论:
- 亚洲人和黑人个人的刻板印象是多方面的,有显著的性别细微差别.
- 需要一个平衡的视角,整合性别模式理论和刻板印象的内容模型.
- 大型语言模型可以揭示如何自然表达交叉种族性别刻板印象.
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