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运用算法方法对韩国人对移民的态度进行分析。

An analysis of Koreans' attitudes towards migrants by application of algorithmic approaches.

作者信息

Han Seungwoo

机构信息

Division of Global Affairs, Rutgers University, United States.

出版信息

Heliyon. 2022 Aug 12;8(8):e10087. doi: 10.1016/j.heliyon.2022.e10087. eCollection 2022 Aug.

DOI:10.1016/j.heliyon.2022.e10087
PMID:36042735
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9420350/
Abstract

Exclusivist behaviours toward migrants manifest not only from poor receptivity to multiculturalism, but also from competition for resources and opportunities such as job opportunities. This study analyses the socio-economic background of Koreans by categorizing them in terms of their receptivity to multiculturalism and their stances on the job debate. For its analytical methodology, this study proposes an analytical approach that combines survey data from questionnaires with machine-learning algorithms. This study applies light gradient boosting machine (LightGBM) and SHapley Additive exPlanations (SHAP) to estimate the importance of the studied variables and interpret the estimate results. According to the results of this study, contact, rapport, experience, and familiarity with other cultures promoted receptivity, but competition over job opportunities led to realistic threats.

摘要

对移民的排他行为不仅表现为对多元文化主义的接受度低，还表现为对资源和机会（如工作机会）的竞争。本研究通过根据韩国人对多元文化主义的接受度及其在就业辩论中的立场对他们进行分类，来分析韩国人的社会经济背景。在分析方法上，本研究提出了一种将问卷调查的调查数据与机器学习算法相结合的分析方法。本研究应用轻梯度提升机（LightGBM）和SHapley加性解释（SHAP）来估计所研究变量的重要性并解释估计结果。根据本研究的结果，与其他文化的接触、融洽关系、经验和熟悉程度促进了接受度，但对工作机会的竞争导致了现实威胁。

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本文引用的文献

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Front Sociol. 2019 Apr 12;4:24. doi: 10.3389/fsoc.2019.00024. eCollection 2019.
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Identifying depression in the National Health and Nutrition Examination Survey data using a deep learning algorithm.利用深度学习算法在国家健康与营养调查数据中识别抑郁症。
J Affect Disord. 2019 Oct 1;257:623-631. doi: 10.1016/j.jad.2019.06.034. Epub 2019 Jul 4.
3
Warmth of the Welcome: Attitudes toward Immigrants and Immigration Policy.
欢迎的热度：对移民及移民政策的态度
Annu Rev Sociol. 2014 Jul;40:479-498. doi: 10.1146/annurev-soc-071913-043325. Epub 2014 Apr 14.
4
Classification-algorithm evaluation: five performance measures based on confusion matrices.分类算法评估：基于混淆矩阵的五种性能度量
J Clin Monit. 1995 May;11(3):189-206. doi: 10.1007/BF01617722.