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How people vote in contests: new findings from Immortal Songs 2

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dc.contributor.authorKim, Beomsoo-
dc.contributor.authorPark, Sangsoo-
dc.contributor.authorZhao, Yang-
dc.date.accessioned2021-08-30T02:55:37Z-
dc.date.available2021-08-30T02:55:37Z-
dc.date.created2021-06-18-
dc.date.issued2021-03-
dc.identifier.issn0885-2545-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/49540-
dc.description.abstractMany important contests, such as job interviews and political debates, are presented in sequential order. Previous studies found serial position effects such that the later presenter has a higher probability of winning. However, no previous studies use both random assignments of contestants and a large number of contestants and judges. We use Immortal Songs 2, a popular TV program that satisfies both conditions, to confirm the findings of serial position effects. In addition, Immortal Songs 2 has round-by-round competition rules. The first round is a competition between the first and second contestants. Then, the winner of the first round is announced. The second round is a contest between the winner of the first round and the third contestant. As the rounds continue, in theory, the winner of the previous round should have a higher probability of winning; however, in fact, the second contestant's probability of winning is always 0.5.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherSPRINGER-
dc.subjectLAST DANCE-
dc.subjectSAVE-
dc.titleHow people vote in contests: new findings from Immortal Songs 2-
dc.typeArticle-
dc.contributor.affiliatedAuthorKim, Beomsoo-
dc.contributor.affiliatedAuthorPark, Sangsoo-
dc.identifier.doi10.1007/s10824-020-09386-0-
dc.identifier.scopusid2-s2.0-85084664882-
dc.identifier.wosid000523055300001-
dc.identifier.bibliographicCitationJOURNAL OF CULTURAL ECONOMICS, v.45, no.1, pp.45 - 62-
dc.relation.isPartOfJOURNAL OF CULTURAL ECONOMICS-
dc.citation.titleJOURNAL OF CULTURAL ECONOMICS-
dc.citation.volume45-
dc.citation.number1-
dc.citation.startPage45-
dc.citation.endPage62-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassssci-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaBusiness & Economics-
dc.relation.journalWebOfScienceCategoryEconomics-
dc.subject.keywordPlusLAST DANCE-
dc.subject.keywordPlusSAVE-
dc.subject.keywordAuthorPreference-
dc.subject.keywordAuthorSerial position effects-
dc.subject.keywordAuthorStep-by-step-
dc.subject.keywordAuthorMomentary fairness bias-
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