Analysis of Digital Participation with Text Mining Method and 2017 Turkey Social Media Referendum

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dc.contributor.authorSavas, Serkan
dc.date.accessioned2025-01-21T16:33:14Z
dc.date.available2025-01-21T16:33:14Z
dc.date.issued2022
dc.departmentKırıkkale Üniversitesi
dc.description.abstractSocial networks have recently become a guiding factor for communities in many areas. Twitter is one of the most important platforms on the social network for setting instant agendas among these networks. Especially in the last decade, social networks have been used in political processes globally. Social networks have become important platforms for political parties to manage their propaganda and for the public to express their opinion. Based on this, a text mining study was carried out on Twitter during Turkey's 2017 referendum process. In the study, public opinions posted on Twitter were examined to reveal the effectiveness of political processes. For this purpose, the ratios of yes/no opinions, political parties, and political party leaders were analyzed, which are the preferred options of the referendum. With these analyses, an empirical study on social-cyber intelligence was carried out, and the potential of decision support systems for policymakers was revealed
dc.description.sponsorshipThe essence of this article was presented at the 5th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT) (Sava, 2021) and was finalized with the additions and improvements made after the symposium. This article is an expanded version of the stated presentation with new analysis and additions
dc.identifier.doi10.26650/acin.1078857
dc.identifier.issn2602-3563
dc.identifier.issue1
dc.identifier.trdizinid1114955
dc.identifier.urihttps://doi.org/10.26650/acin.1078857
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay1114955
dc.identifier.urihttps://hdl.handle.net/20.500.12587/23764
dc.identifier.volume6
dc.identifier.wosWOS:001318234300006
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakTR-Dizin
dc.language.isotr
dc.publisherIstanbul Univ
dc.relation.ispartofActa Infologica
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241229
dc.subjectSocial Media Analysis; Text Mining; Referendum; Big Data; Data Analysis
dc.titleAnalysis of Digital Participation with Text Mining Method and 2017 Turkey Social Media Referendum
dc.typeArticle

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