Computational Literary Studies

Overview

Computational Literary Studies uses methods such as stylometry, topic modeling, semantic embeddings, and character or concept networks to study literature across languages, periods, and large corpora. These approaches help researchers trace changes in style and meaning, compare narrative structures, and find possible sources or intertextual links for closer reading. Large language models are increasingly used to annotate and evaluate texts and to study generated fiction, with benchmarks testing tasks such as poetic comprehension and authorship detection. A central challenge is making computational measurements reliable and interpretable: models can miss context, genre conventions, and culturally specific meanings, so expert validation and careful links between measurements and literary claims remain essential.

Latest papers

CardsList

49 papers5 papers in the last four weeks, up 67% on the four weeks before. 0.0% of all new papers.

  1. Critic's Eye: Review-Grounded Graph Reasoning for Long-Form Motif Discovery

    Oct 26, 2026Xinyu Sun, Zhangyue Yin, Xinyi Ju +1Computational Literary StudiesGraph Reasoning

  2. Crossing the Gender Binary: Modelling Gendered Reference in Science Fiction and General Fiction

    Oct 13, 2026Yuxuan Liu, Haim Dubossarsky, Ruth AhnertComputational Literary Studies

  3. Beyond Model Bias: Cross-Entropy Based Rankings in Literary and Academic Texts Remain Stable across Small Language Models

    Oct 12, 2026Ankit Bhattacharjee, Indrasabarna Hari, Krityapriya Bhaumik +2Language ModelingComputational Literary Studies

  4. Large Language Models, Machine-Assisted Cultural Analytics, and the Agentic Turn

    Oct 8, 2026Andres KarjusLLM AgentsComputational Social Science

  5. Molecules of a Story: Community Detection in PMI-weighted Narrative Networks

    Oct 5, 2026Kasper Fyhn, Rebekah BagliniComputational Literary Studies

  6. Retrieving Biblical Intertextual References in Karen Blixen's Seven Gothic Tales

    Sep 28, 2026András Kovács, Alexander Conroy, Daniel Hershcovich +1Computational Literary StudiesLexical Retrieval

  7. How LLMs Build Fictional Worlds: Setting and Narrative Space in AI-Generated Creative Storytelling

    Sep 2, 2026Katrin Rohrbacher, Björn Nieth, Emmanuelle Salin +2Computational Literary StudiesText Generation

  8. Do Large Language Models Perform Well on Comprehending Poetic Logic in Modern Chinese Poetry?

    Aug 22, 2026Tian Lan, Shanshan Wang, Zehua Duo +4LLM EvaluationComputational Literary Studies

  9. The Plot Thins: Uniformity and Linearity in Literary Summaries

    Aug 18, 2026Rebecca M. M. Hicke, Sil Hamilton, David Mimno +1Text SummarizationComputational Literary Studies

  10. Detecting Experiential Intertextuality Across Migration Routes: Beyond Surface Similarity in French Narratives

    Jul 31, 2026Sakayo Toadoum Sari, Nelly Robin, Michelle Auzanneau +5Computational Literary Studies

  11. Creative Transformation in Literary Texts: Modelling Change Across Representational Levels

    Jul 30, 2026Ioana-Roxana Boriceanu, Liviu P. DinuComputational Literary StudiesComputational Creativity

  12. Beyond Similarity: Grounded Agentic Extraction and Expert-Adjudicated Evaluation of Intertextuality in Classical Chinese Histories

    Jul 30, 2026Zhaoji Wang, Wanyu Si, Jun WangHistorical Document AnalysisComputational Literary Studies

  13. Theatre Chapbooks At Scale: A Statistical Comparative Analysis of Typography

    Jul 29, 2026Diego Belzarena, Seginus Mowlavi, Paula Casariego Castiñeira +3Historical Document AnalysisComputational Literary Studies

  14. GraphLit: Learning Text-Enriched Dynamic Character Network Representations for Literary Study

    May 27, 2026Gaspard Michel, Elena V. Epure, Romain Hennequin +2Computational Literary StudiesHeterogeneous GNNs

  15. QOuLiPo: What a quantum computer sees when it reads a book

    May 13, 2026Christophe JurczakComputational Literary Studies

  16. SAGE: Hierarchical LLM-Based Literary Evaluation through Ontology-Grounded Interpretive Dimensions

    May 8, 2026Tianyu Wang, Nianjun ZhouComputational Literary StudiesLLM Evaluation

  17. From graphemic dependence to lexical structure: a Markovian perspective on Dante's Commedia

    Apr 24, 2026Angelo Maria SabatiniComputational Literary StudiesMarkov Chains

  18. Markov reads Pushkin, again: A statistical journey into the poetic world of Evgenij Onegin

    Apr 22, 2026Angelo Maria SabatiniComputational Literary StudiesMarkov Models