Partisan habitual voters in South Korea: Employing Random Forests to understand Korean voters' electoral choices.
Objective: This study investigates whether recent political events in South Korea, such as a presidential impeachment and changes in leadership, have caused a realignment of voters' political affiliations. We aim to determine whether political party allegiance has transitioned into a pattern of habi...
| Publicado en: | Social Science Quarterly (Wiley-Blackwell) Vol. 105; no. 7; pp. 2154 - 2174 |
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| Autores principales: | , |
| Formato: | Artículo |
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Wiley-Blackwell
Dec2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=181890084&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 181890084 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00384941 SSQ jtl: Social Science Quarterly (Wiley-Blackwell) issn: 00384941 maglogo: Y pubinfo: dt: Dec2024 vid: 105 iid: 7 pid: 480 pub: Wiley-Blackwell artinfo: ui: 181890084 10.1111/ssqu.13459 ppf: 2154 ppct: 20 formats: tig: atl: Partisan habitual voters in South Korea: Employing Random Forests to understand Korean voters' electoral choices. aug: au: Lee, Jae‐Mook Lee, Na Kyeong affil: Department of Political Science and Diplomacy, Hankuk University of Foreign Studies, Seoul, South Korea Department of Economics, Seoul Women's University, Seoul, South Korea su: Political affiliation Political change Voting Machine learning Random forest algorithms Impeachment of presidents sug: subj: Political affiliation Political change Voting Political Organizations Machine learning Random forest algorithms Impeachment of presidents keyword: Korean presidential election Korean voters machine learning Random Forests voting behavior Korean presidential election Korean voters machine learning Random Forests voting behavior ab: Objective: This study investigates whether recent political events in South Korea, such as a presidential impeachment and changes in leadership, have caused a realignment of voters' political affiliations. We aim to determine whether political party allegiance has transitioned into a pattern of habitual voting in the last ten years. Methods: Employing a Random Forest model based on machine learning approaches, we examined polling data from the last ten years of Korean presidential elections. Instead of relying on hypothesis‐led methods, our analysis emphasizes the intrinsic characteristics of the data to uncover crucial elements affecting voter behavior in each election. Results: Our results reveal a considerable consistency in voting patterns over the past decade, implying that allegiance to political parties has turned into a habitual behavior. Significant factors affecting voter choices in the 2022 election were also recognized as indicators of election outcomes five and ten years prior. Conclusion: The study reveals that voter behavior in South Korea remains stable despite notable political changes, primarily influenced by habitual elements rather than substantial changes in party loyalty. This suggests that political allegiance has become ingrained as a habitual behavior for Korean voters. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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