The Data Sprint Approach: Exploring the field of Digital Humanities through Amazon's Application Programming Interface.
This paper documents the results of an intensive data sprint method for undertaking data and algorithmic work using application programming interfaces (APIs), which took place during the Digital Method Initiative 2013 Winter School at the University of Amsterdam. During this data sprint, we develope...
| Publicado en: | DHQ: Digital Humanities Quarterly Vol. 9; no. 3; pp. 3 - 4 |
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| Autores principales: | , , , , |
| Formato: | Artículo |
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Digital Humanities Quarterly
2015
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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=125676756&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 125676756 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 19384122 77X0 jtl: DHQ: Digital Humanities Quarterly issn: 19384122 maglogo: N pubinfo: dt: 2015 vid: 9 iid: 3 pid: 47240 pub: Digital Humanities Quarterly artinfo: ui: 125676756 ppf: 3 ppct: 1 formats: tig: atl: The Data Sprint Approach: Exploring the field of Digital Humanities through Amazon's Application Programming Interface. aug: au: Berry, David M. Borra, Erik Helmond, Anne Plantin, Jean-Christophe Rettberg, Jill Walker affil: University of Sussex University of Amsterdam London School of Economics and Political Science University of Bergen su: Application program interfaces Amazon.com Inc. Digital humanities Hypertext literature Electronic data processing sug: subj: Application program interfaces Amazon.com Inc. Digital humanities Hypertext literature Electronic data processing ab: This paper documents the results of an intensive data sprint method for undertaking data and algorithmic work using application programming interfaces (APIs), which took place during the Digital Method Initiative 2013 Winter School at the University of Amsterdam. During this data sprint, we developed a method to map the fields of Digital Humanities and Electronic Literature based on title recommendations from the largest online bookseller, Amazon, by retrieving similar purchased items from the Amazon API. A first step shows the overall Amazon recommendation network for Digital Humanities and allows us to detect clusters, aligned fields and bridging books. In a second step we looked into four country-specific Amazon stores (Amazon.com, Amazon.co.uk, Amazon.fr and Amazon.de) to investigate the specificities of the Digital Humanities in these four countries. The third step is a network of all books suggested for the Electronic Literature field in the four Amazon stores we searched, which offers a comparison to the field of Digital Humanities. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2015 holdings: @attributes: islocal: N |
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