从调查数据中发现关于族群结构的社会观念

Thomas B. Pepinsky
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摘要

本文介绍了一种新的方法来发现和探索有关种族结构的全社会社会信念。植根于计算文本分析,它结合了定性和基于调查的方法的优势来研究种族。我使用结构主题建模方法(Roberts, Stewart, and Airoldi 2016)来发现关于种族群体的开放式问题中的一般模式。然后,我预测哪一种反应模式倾向于与哪一种族群体有关,并利用调查对象的信息来探索社会信仰的异质性。为了说明这种方法的有效性,我使用了2017年收集的马来西亚原始调查数据,以了解马来西亚马来人、华人、印度人和阿拉伯人群体的社会信仰。
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Discovery of Social Beliefs About Ethnic Structure from Survey Data
This paper introduces a new approach to discovering and exploring society-wide social beliefs about ethnic structure. Rooted in computational text analysis, it combines the strengths of both qualitative and survey-based approaches to the study of ethnicity. I use a structural topic modeling approach (Roberts, Stewart, and Airoldi 2016) to uncover general patterns in found in open-ended questions about ethnic groups. I then predict which patterns of responses tend to be associated with which ethnic groups, and use information about survey respondents to explore heterogeneity in social beliefs. To illustrate the method at work, I use original survey data from Malaysia, collected in 2017, to understand social beliefs about Malay, Chinese, Indian, and Arab ethnic groups in Malaysia.
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