Lexical diversity as a predictor of genre in TV shows.
Many studies have investigated the linguistic characteristics of television and have found important differences between categories of TV programs. Yet, little is known specifically about the lexical profiles of different genres of television discourse. The present study sought to address this gap b...
| Publicado en: | Digital Scholarship in the Humanities Vol. 38; no. 3; pp. 921 - 937 |
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| Autores principales: | , |
| Formato: | Artículo |
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Oxford University Press / USA
Sep2023
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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=hlh&AN=171389415&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 171389415 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 2055768X JEO9 jtl: Digital Scholarship in the Humanities issn: 2055768X maglogo: N pubinfo: dt: Sep2023 vid: 38 iid: 3 pid: 622 pub: Oxford University Press / USA artinfo: ui: 171389415 10.1093/llc/fqad004 ppf: 921 ppct: 16 formats: fmt: – @attributes: type: T – @attributes: type: P size: 522KB tig: atl: Lexical diversity as a predictor of genre in TV shows. aug: au: Akbary, Mary Jarvis, Scott affil: Department of Linguistics, The University of Utah , Salt Lake City, UT 84112, USA su: Television programs Genre studies Logistic regression analysis sug: subj: Television programs Genre studies Logistic regression analysis ab: Many studies have investigated the linguistic characteristics of television and have found important differences between categories of TV programs. Yet, little is known specifically about the lexical profiles of different genres of television discourse. The present study sought to address this gap by exploring the lexical diversity of 714 episodes representing four TV genres. The lexical diversity of each episode was measured using a six-dimensional model of lexical diversity. Multinomial logistic regression was used to determine whether the four TV genres in the present study have unique lexical diversity profiles and whether the genres of individual TV episodes can be predicted based on the adopted model. The results indicated that the four genres do indeed exhibit unique lexical diversity profiles; it was also found that the genres of individual TV episodes can be predicted with approximately 91% accuracy based on this model. These findings were interpreted as underscoring the relevance of lexical diversity to genre analysis of TV shows and the importance of using a theoretically grounded multivariate model of this construct. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: © 2019 EADH: The European Association for Digital Humanities. item: Digital Scholarship in the Humanities holder: Oxford University Press / USA dt: @attributes: year: 2023 holdings: @attributes: islocal: N |
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