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The New Order of Criticism. Explorations of Book Reviews Between the Interpretative and Algorithmic
Gothenburg University, The Centre for Digital Humanities (CDH), Department of Literature, History of Ideas, and Religion (LIR), Gothenburg, Sweden.
Gothenburg University, The Centre for Digital Humanities (CDH), Department of Literature, History of Ideas, and Religion (LIR), Gothenburg, Sweden.
Mälardalen University, School of Education, Culture and Communication, Educational Sciences and Mathematics.ORCID iD: 0000-0002-0904-3408
Gothenburg University, The Centre for Digital Humanities (CDH), Department of Literature, History of Ideas, and Religion (LIR), Gothenburg, Sweden.
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2022 (English)In: CEUR Workshop Proceedings, CEUR-WS , 2022, Vol. 3232, p. 228-234Conference paper, Published paper (Refereed)
Abstract [en]

The New Order of Criticism (2020-2024) is a mixed-methods project combining algorithmic and interpretative approaches to the study of literary criticism. The project expands on a prior study of Swedish book reviews from the years 1906, 1956 and 2006 ('The Order of Criticism', Samuelsson 2013), re-examining and re-evaluating the original results through the use of computational tools, language technology and big data. The aim of the present paper is to discuss early experiences and results from the interdisciplinary approach utilized by the current project, a collaborative process where interpreter and programmer are in dialogue, and where methodologies, and their instantiation in tools, are reflexively discussed from an epistemological point of view. In our analysis we ask: How can insights from working with digital methodologies and tools inform traditional scholarship on literary criticism? How can interpretative approaches and results inform digital methods?. 

Place, publisher, year, edition, pages
CEUR-WS , 2022. Vol. 3232, p. 228-234
Keywords [en]
big data, close reading, discourse analysis, Literary criticism, machine learning, network analysis, Reviews, Algorithmics, Book reviews, Computational tools, Creative Commons, Machine-learning, Mixed method, Swedishs
National Category
Languages and Literature Computer and Information Sciences
Identifiers
URN: urn:nbn:se:mdh:diva-60391Scopus ID: 2-s2.0-85139764103OAI: oai:DiVA.org:mdh-60391DiVA, id: diva2:1706408
Conference
6th Digital Humanities in the Nordic and Baltic Countries Conference, DHNB 2022, Uppsala, 15 March 2022 through 18 March 2022
Available from: 2022-10-26 Created: 2022-10-26 Last updated: 2022-10-26Bibliographically approved

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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
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  • de-DE
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  • nn-NO
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  • sv-SE
  • Other locale
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Output format
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  • asciidoc
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