Mapping the field of digital literary studies: Concepts, methods, and emerging directions
DOI:
https://doi.org/10.64595/99c6t274Keywords:
algorithmic reading, computational literary studies, digital humanities, digital literary studies, electronic literatureAbstract
The expansion of digital archives, computational tools, platform-based reading practices, and artificial intelligence has transformed literary studies into a field where texts are increasingly examined as data, networks, interfaces, and machine-mediated cultural objects. This study aims to map the field of digital literary studies by identifying its dominant concepts, methodological clusters, and emerging research directions. Methodologically, the study employs a qualitative-dominant field-mapping design supported by bibliometric description, keyword co-occurrence mapping, bibliometric-oriented science mapping, and corpus-assisted thematic analysis of selected scholarly metadata, abstracts, keywords, and conceptual statements. The findings show that digital literary studies is organised around five major formations: digital humanities and literary interpretation, computational and distant reading, electronic literature and digital textuality, cultural analytics and platform-based literary circulation, and AI-oriented literary analysis. The study also reveals that literary objects are increasingly conceptualised as archives, corpora, graphs, interfaces, platforms, datasets, and algorithmic outputs. The novelty of this study lies in its integrated mapping of concepts, methods, and future directions within digital literary studies.
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