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Determination of Women Voting Behavior: a Machine Learning Approach in the Turkish Political Arena

dc.authorscopusid 55754452900
dc.authorscopusid 15769095100
dc.contributor.author Çaha, H.
dc.contributor.author Bayyurt, N.
dc.date.accessioned 2021-09-10T11:58:22Z
dc.date.available 2021-09-10T11:58:22Z
dc.date.issued 2020
dc.department Artuklu University en_US
dc.department-temp Çaha H., Mardin Artuklu University, Mardin, Turkey, Faculty of Economics and Administrative Sciences, Mardin Artuklu University, Mardin, Turkey; Bayyurt N., Istanbul Technical University, Istanbul, Turkey, Faculty of Management, Istanbul Technical University, Istanbul, Turkey en_US
dc.description.abstract Justice and Development Party (AKP) has been the ruling and biggest party in Turkey (AKP) since it has been established in 2002 and Republican People’s Party (CHP) has been the main opposition party (CHP) since then. These two parties receive about 75% of all the votes. In Turkey half of the voters are females. In this study, the important attributes of women in party selection decisions are analyzed. To our knowledge, there is no such a study focusing on women’s party preferences in Turkey. Additionally, this is one of the very few studies in Turkey concerning voters’ party preferences. Therefore, this study aims to fill this gap in the literature. Center-periphery and social mobility theories are the two main theories explaining Turkish political life. The analyzed ideological, cultural, religious, social, economic and demographic characteristics of women supporters are selected according to these theories. Machine-learning techniques are employed as predictive tools. Results show that ideological attitudes like being leftist-rightist and religious values like headscarf, fasting in Ramadan, and praying are the most important effective attributes on party selection of women. However, socio-economic, cultural, educational and demographic atributes are not effective on party selection of women in Turkey. © 2020, Hipatia Editorial. All rights reserved. en_US
dc.description.woscitationindex Emerging Sources Citation Index
dc.identifier.doi 10.17583/rimcis.2020.5027
dc.identifier.endpage 288 en_US
dc.identifier.issn 2014-3680
dc.identifier.issue 3 en_US
dc.identifier.scopus 2-s2.0-85097678394
dc.identifier.scopusquality Q2
dc.identifier.startpage 260 en_US
dc.identifier.uri https://doi.org/10.17583/rimcis.2020.5027
dc.identifier.volume 9 en_US
dc.identifier.wos WOS:000595527300003
dc.identifier.wosquality N/A
dc.indekslendigikaynak Web of Science en_US
dc.indekslendigikaynak Scopus en_US
dc.language.iso en en_US
dc.publisher Hipatia Editorial en_US
dc.relation.ispartof International and Multidisciplinary Journal of Social Sciences en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.scopus.citedbyCount 0
dc.subject Akp en_US
dc.subject Chp en_US
dc.subject Machine Learning en_US
dc.subject Turkey en_US
dc.subject Women Voters en_US
dc.title Determination of Women Voting Behavior: a Machine Learning Approach in the Turkish Political Arena en_US
dc.type Article en_US
dc.wos.citedbyCount 1
dspace.entity.type Publication

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