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JCLS | Journal of Computational Literary Studies

 

The Journal of Computational Literary Studies (JCLS) is an international, diamond open access, peer-reviewed online journal dedicated to all aspects of computational approaches to Literary Studies. JCLS responds to the increasing differentiation of subfields within the Digital Humanities, an ongoing process in which Computational Literary Studies has already gained considerable maturity and visibility.
 
JCLS provides a publishing platform for work on the development, the application, and the critique of computational approaches to Literary Studies. The journal seeks to expand the spectrum of computational methods for the analysis of literary texts and their (cultural, social, historical, performative) contexts with innovative methods appropriate to the subject. It provides a forum to address issues such as building literary corpora, identifying peculiarities of literary texts, domain adaptation of methods, operationalization of concepts, annotation of texts, evaluation of measures, interpretability and transparency of results, and reproducibility of research. JCLS also acknowledges the debatability of the core concepts of Computational Literary Studies, computationality and literarity, and encourages submissions addressing these from historical, cultural and other perspectives.

JCLS is open for submissions for the journal-only track at any time. 

 

CCLS2026: Call for Papers

Submissions for the conference+journal track include participation in the Annual Conference of Computational Literary Studies (CCLS). The CCLS2026 will take place on May 28–29, 2026 in Potsdam. Papers for the conference should be submitted via the regular submission function. Please note the JCLS submission guidelines. The submission deadline for the CCLS2026 Call is January 8, 2026. For more information on the conference+journal track timeline for CCLS2026 see important dates.

Volume 4 • Issue 1 • 2025

Articles


Operationalization and Interpretation Dependence in Computational Literary Studies

Operationalization and Interpretation Dependence in Computational Literary Studies

  • Janina Jacke

Volume 4 • Issue 1 • 2025 • 26 pages

Computational Analysis of Literary Communities. Event-Based Social Network Study of St. Petersburg 1999-2019

Computational Analysis of Literary Communities. Event-Based Social Network Study of St. Petersburg 1999-2019

  • Maria Levchenko

Volume 4 • Issue 1 • 2025 • 24 pages

Making BERT Feel at Home. Modelling Domestic Space in 19th-Century British and Irish Fiction

Making BERT Feel at Home. Modelling Domestic Space in 19th-Century British and Irish Fiction

  • Svenja Guhr
  • Jessica Monaco
  • Alexander Sherman
  • Matthew Warner
  • Mark Algee-Hewitt

Volume 4 • Issue 1 • 2025 • 26 pages

A Powerful Hades Is an Unpopular Dude. Dynamics of Power and Agency in Hades/Persephone Fanfiction

A Powerful Hades Is an Unpopular Dude. Dynamics of Power and Agency in Hades/Persephone Fanfiction

  • Julia Neugarten

Volume 4 • Issue 1 • 2025 • 23 pages

From Readers to Data. Uncertainty in Computational Literary Citizen Science

From Readers to Data. Uncertainty in Computational Literary Citizen Science

  • Gilad Aviel Jacobson
  • Yael Dekel
  • Itay Marienberg-Milikowsky

Volume 4 • Issue 1 • 2025 • 24 pages

Towards Computational Analysis of Gender Depiction in the Comedias of Calderón de la Barca

Towards Computational Analysis of Gender Depiction in the Comedias of Calderón de la Barca

  • Allison Keith
  • Antonio Rojas Castro
  • Hanno Ehrlicher
  • Kerstin Jung
  • Sebastian Padó

Volume 4 • Issue 1 • 2025 • 27 pages

Exploring Measures of Distinctiveness. An Evaluation Using Synthetic Texts

Exploring Measures of Distinctiveness. An Evaluation Using Synthetic Texts

  • Julia Havrylash
  • Christof Schöch

Volume 4 • Issue 1 • 2025 • 16 pages

Towards a Perspectival Moral History of the Novel Using LLMs

Towards a Perspectival Moral History of the Novel Using LLMs

  • Andrew Piper

Volume 4 • Issue 1 • 2025 • 19 pages

Event Detection between Literary Studies and NLP. A Survey, a Narratological Reflection, and a Case Study

Event Detection between Literary Studies and NLP. A Survey, a Narratological Reflection, and a Case Study

  • Noa Visser Solissa
  • Andreas van Cranenburgh
  • Federico Pianzola

Volume 4 • Issue 1 • 2025 • 24 pages

Reconstructing Shuffled Text. Bad Results for NLP, but Good News for Using In-Copyright Texts

Reconstructing Shuffled Text. Bad Results for NLP, but Good News for Using In-Copyright Texts

  • Keli Du
  • Sarah Ackerschewski
  • Uygar Navruz
  • Nazan Sınır
  • Julian Valline
  • Christof Schöch

Volume 4 • Issue 1 • 2025 • 17 pages

Do Large Language Models Understand Literature? Case Studies and Probing Experiments on German Poetry

Do Large Language Models Understand Literature? Case Studies and Probing Experiments on German Poetry

  • Fotis Jannidis
  • Rabea Kleymann
  • Julian Schröter
  • Heike Zinsmeister

Volume 4 • Issue 1 • 2025 • 26 pages