A Statistical Analysis of Editorial Influence and Author-Character Similarities in 1990S New Yorker Fiction.
We present a quantitative analysis of 442 pieces of fiction published between 5 October 1992 and 17 September 2001 in the New Yorker magazine. We address two independent questions using the same data set. First, we examine whether changes in the Executive Editor or Fiction Editor are associated with...
| Publicado en: | Literary & Linguistic Computing Vol. 22; no. 3; pp. 305 - 329 |
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| Autores principales: | , , |
| Formato: | Artículo |
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Oxford University Press / USA
Sep2007
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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=26863969&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 26863969 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 02681145 BJ1 jtl: Literary & Linguistic Computing issn: 02681145 maglogo: N pubinfo: dt: Sep2007 vid: 22 iid: 3 pid: 622 pub: Oxford University Press / USA artinfo: ui: 26863969 10.1093/llc/fqm011 ppf: 305 ppct: 24 formats: fmt: @attributes: type: P size: 265KB tig: atl: A Statistical Analysis of Editorial Influence and Author-Character Similarities in 1990S New Yorker Fiction. aug: au: Milkman, Katherine L. Carmona, René Gleason, William affil: Harvard University, Boston, MA 02138, USA Princeton University, Princeton, NJ 08544, USA su: Periodicals Fiction Literary characters Periodical editors Authors Statistics sug: subj: Periodicals Fiction Literary characters Periodical editors Authors Statistics ab: We present a quantitative analysis of 442 pieces of fiction published between 5 October 1992 and 17 September 2001 in the New Yorker magazine. We address two independent questions using the same data set. First, we examine whether changes in the Executive Editor or Fiction Editor are associated with significant changes in the type of fiction published at the New Yorker. Second, we examine whether New Yorker authors write fiction more often than not about characters with whom they share demographic traits. We find that changes in Fiction Editor at the New Yorker are associated with numerous significant, quantifiable changes in the magazine's fiction and that these effects are greater than those associated with a change in the New Yorker's Executive Editor. We also find that authors of New Yorker fiction write significantly more often than not about protagonists who share their race, gender, and country of origin and who are within or below their age range. The same is true of secondary characters except in the case of gender. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: © 2019 EADH: The European Association for Digital Humanities. item: Literary & Linguistic Computing holder: Oxford University Press / USA dt: @attributes: year: 2007 holdings: @attributes: islocal: N |
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