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

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...

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Main Author: Seungwoo Han
Format: Article
Language:English
Published: Elsevier 2022-08-01
Series:Heliyon
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844022013755
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author Seungwoo Han
author_facet Seungwoo Han
author_sort Seungwoo Han
collection DOAJ
description 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.
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spelling doaj.art-d6bad0ac2f6c4cf085ca5906f5ce065c2022-12-22T03:44:56ZengElsevierHeliyon2405-84402022-08-0188e10087An analysis of Koreans' attitudes towards migrants by application of algorithmic approachesSeungwoo Han0Division of Global Affairs, Rutgers University, United StatesExclusivist 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.http://www.sciencedirect.com/science/article/pii/S2405844022013755MulticulturalismMigrantsMachine learningLightGBMSHAPSouth Korea
spellingShingle Seungwoo Han
An analysis of Koreans' attitudes towards migrants by application of algorithmic approaches
Heliyon
Multiculturalism
Migrants
Machine learning
LightGBM
SHAP
South Korea
title An analysis of Koreans' attitudes towards migrants by application of algorithmic approaches
title_full An analysis of Koreans' attitudes towards migrants by application of algorithmic approaches
title_fullStr An analysis of Koreans' attitudes towards migrants by application of algorithmic approaches
title_full_unstemmed An analysis of Koreans' attitudes towards migrants by application of algorithmic approaches
title_short An analysis of Koreans' attitudes towards migrants by application of algorithmic approaches
title_sort analysis of koreans attitudes towards migrants by application of algorithmic approaches
topic Multiculturalism
Migrants
Machine learning
LightGBM
SHAP
South Korea
url http://www.sciencedirect.com/science/article/pii/S2405844022013755
work_keys_str_mv AT seungwoohan ananalysisofkoreansattitudestowardsmigrantsbyapplicationofalgorithmicapproaches
AT seungwoohan analysisofkoreansattitudestowardsmigrantsbyapplicationofalgorithmicapproaches