Examining Korean political figures using co-word analysis in agreement with facial expressions in posted self-images

Basit Öğe Kaydı
dc.authoridPark, Han Woo/0000-0002-1378-2473
dc.authorwosidOzel, Bulent/HIK-2741-2022
dc.authorwosidPark, Han Woo/F-4051-2011
dc.contributor.authorOzel, Bulent
dc.contributor.authorPark, Han Woo
dc.date.accessioned2024-07-18T20:52:12Z
dc.date.available2024-07-18T20:52:12Z
dc.date.issued2012
dc.departmentİstanbul Bilgi Üniversitesien_US
dc.description.abstractThis study combines online image content analysis and text content analysis of the homepages of political figures, specifically South Korean National Assembly members. The study attempts to explore the relations between (1) the types of facial expressions present, using the official photographs on the members' homepages, (2) the textual contents of self-posted public profiles, again using members' homepages, (3) members' socio-political-demographic attributes, and (4) their web visibility and link counts on popular websites. In a previous study, we examined the emotional content contained in facial pictures of South Korean politicians. The results suggested significant patterns between facial expressions, web visibility and the socio-demographic attributes of politicians. In this paper, we further explore the textual contents of members' homepages using co-word analysis techniques to ascertain to what extent textual contents are in agreement with facial expressions in posted self-images. In addition, having employed co-word analysis we attempt to derive a strategic diagram of the 18th National Assembly based on clusters of key phrases and words posted on the members' homepages. This approach allows us to investigate central and peripheral clusters of keywords and their distribution considering members' socio-political-demographic attributes.en_US
dc.description.sponsorshipWorld Class University (WCU) program through the National Research Foundation of Korea [515-82-06574]en_US
dc.description.sponsorshipAn earlier form of this study was presented at the Political Networks Conference, May 20-21, 2010 at Duke University, Durham, NC, USA. Research for this paper was supported by the World Class University (WCU) program through the National Research Foundation of Korea (No. 515-82-06574). Furthermore, the authors are grateful to In-Yong Nam for his comments on the earlier version and our research assistants, Ji-Young Park, Ji-Young Kim, Myung-Gun Choi, Seong-Cheol Choi, and Gi-Tae Nam.en_US
dc.identifier.endpage60en_US
dc.identifier.issn0973-7766
dc.identifier.issn2168-930X
dc.identifier.issue1en_US
dc.identifier.startpage43en_US
dc.identifier.urihttps://hdl.handle.net/11411/8569
dc.identifier.volume6en_US
dc.identifier.wosWOS:000422381000007en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherRoutledge Journals, Taylor & Francis Ltden_US
dc.relation.ispartofCollnet Journal of Scientometrics and Information Managementen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectVisual Content Analysisen_US
dc.subjectEmotional Content Analysisen_US
dc.subjectOnline Visibilityen_US
dc.subjectWeb-Based Campaignsen_US
dc.subjectFacial Expressionsen_US
dc.subjectCandidate Web-Sitesen_US
dc.subjectCo-Word Analysisen_US
dc.titleExamining Korean political figures using co-word analysis in agreement with facial expressions in posted self-images
dc.typeArticle

Dosyalar

Koleksiyon

Web of Science Indexed Publications