The New Order of Criticism. Explorations of Book Reviews Between the Interpretative and Algorithmic

• 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?. 

Subject headings

HUMANIORA  -- Språk och litteratur (hsv//swe)

HUMANITIES  -- Languages and Literature (hsv//eng)

NATURVETENSKAP  -- Data- och informationsvetenskap (hsv//swe)

NATURAL SCIENCES  -- Computer and Information Sciences (hsv//eng)

HUMANIORA  -- Annan humaniora (hsv//swe)

HUMANITIES  -- Other Humanities (hsv//eng)

HUMANIORA  -- Språk och litteratur -- Litteraturvetenskap (hsv//swe)

HUMANITIES  -- Languages and Literature -- General Literary Studies (hsv//eng)

HUMANIORA  -- Språk och litteratur -- Jämförande språkvetenskap och allmän lingvistik (hsv//swe)

HUMANITIES  -- Languages and Literature -- General Language Studies and Linguistics (hsv//eng)

Keyword

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

Literary criticism

machine learning

discourse analysis

big data

network analysis

close reading

Publication and Content Type

ref (subject category)

kon (subject category)