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Culturomic explorations of literary prominence using Google Books: A pilot study
Linnaeus University, Faculty of Arts and Humanities, Department of Languages. (DISA-DH)ORCID iD: 0000-0001-5251-5338
Tampere University, Finland.
2022 (English)In: Knygotyra, ISSN 0204-2061, E-ISSN 2345-0053, Vol. 78, p. 111-139Article in journal (Refereed) Published
Abstract [en]

The availability of databases of digitised literary materials, such as Google Books, Europeana and historical newspaper databases, has revolutionised many disciplines, e.g., linguistics and history. So far, the use of digitised materials has not been very frequent in the history of books and the history of reading. This article presents tools, methodologies and practices that offer new possibilities in the study of book history and the history of reading. The use of these tools makes it possible to study vast amounts of data quickly and effectively, to present results in helpful visualisations, to make it possible to follow the line of reasoning and, if necessary, to check the reliability of the research by presenting the data for control. The examples presented are drawn from the Google Books database using a simple piece of software that exploits the API of the Google Books Ngram Viewer tool that is available free of charge.

Place, publisher, year, edition, pages
Vilnius University Press , 2022. Vol. 78, p. 111-139
Keywords [en]
culturomics, big data, google books, literature, prominence
National Category
General Literature Studies General Language Studies and Linguistics
Research subject
Humanities, Comparative literature
Identifiers
URN: urn:nbn:se:lnu:diva-115128DOI: 10.15388/Knygotyra.2022.78.108Scopus ID: 2-s2.0-85135876114OAI: oai:DiVA.org:lnu-115128DiVA, id: diva2:1680186
Available from: 2022-07-04 Created: 2022-07-04 Last updated: 2022-11-16Bibliographically approved

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Tyrkkö, Jukka

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
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  • asciidoc
  • rtf