JCLS

Call for Paper from website

Excited about the #JCLS articles and working on a #ComputationalLiteraryStudies draft yourself?
Be part of the journal and submit to our Conference Track by January 8: jcls.io/site/cfp/
#CCLS2026 #CLS #LiteraryComputing #CfP

As always: #OpenData persistently available at:
Du, K. (2025). Reconstructing Shuffled Text (Derived Text Formats) [Data set]. Zenodo. doi.org/10.5281/zeno...
#CLS #CCLS25 #DTF #LiteraryComputing #LLM #Memorization

Figure 1: Reconstructing shuffled text using ChatGPT. The source text is in Table 1.

Table 1: An example of a text and its two variants in DTFs.

The authors tackle a major challenge in #NLP: #LLM-Memorization and #Copyright
👉 Can derived text formats (DTFs) be used safely for research on #in-copyright texts without enabling reconstruction of the original?
#CLS #NLG #DTF #LiteraryComputing #CCLS25 #OpenScience
jcls.io/issue/118/in...

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New article in #JCLS 4(1)! 🎉
Du, Ackerschewski, Navruz, Sınır, Valline & @christofs.bsky.social: “Reconstructing Shuffled Text. Bad Results for #NLP, but Good News for Using #In-Copyright Texts” doi.org/10.48694/jcl...

#CLS #DTF #LiteraryComputing #CCLS25 #OpenScience #Copyright

As always: #OpenData persistently available at: doi.org/10.5281/zenodo.17552902
And the article: doi.org/10.48694/jcls.4215

Example of the timeline, causeline, and storyline framework applied on news from Vossen et al. (2021).

They offer a critical #survey of the #SoA of #EventDetection in journalism, history, and literary studies. By comparing their model to a storyline analysis framework used in news, they show how fiction and non-fiction can be analyzed studying narrative progression across domains. 📖✨ #CCLS25

Event Detection between Literary Studies and NLP. A Survey, a Narratological Reflection, and a Case Study Narrative structure in fiction relies on the strategic presentation of events, where the ordering and disclosure of information (syuzhet) shape reader engagement and tension. This study outlines a com...

New article in #JCLS 4(1)! 🎉
Visser Solissa, van Cranenburgh & @fpianz.bsky.social present a model for detecting syuzhet—the ordering and disclosure of events that shape a narrative—and formalize event annotation in fiction across multiple languages.
#CCLS25 #ComputationalNarratology

Exploring Measures of Distinctiveness. An Evaluation Using Synthetic Texts Measures of distinctiveness (aka keyness) are important tools for comparing groups of texts to identify each group's characteristic features. Evaluating these measures is essential to ensure their rel...

As always, #OpenData and #OpenCode are persistently available:
Havrylash, J., & Schöch, C. (2025). Syntetic texts evaluation with #pydistinto. Zenodo. 10.5281/zenodo.15525428.
And the article: doi.org/10.48694/jcl...
#JCLS #CCLS205 #LiteraryComputing #NLG #Evaluation

Figure 3: The relation between the frequency of the artificial word in the target corpus and its rank in the results, for RRF, chi-squared test, LLR and TF-IDF.

By inserting an artificial word with precisely defined frequency and #dispersion, they test how well different measures detect what’s truly #distinctive.

Their findings uncover that a #TF-IDF -based measure is more sensitive to dispersion variations than other dispersion-based measures. #Evaluation

New article in #JCLS 4(1)! 🎉
Havrylash & @christofs.bsky.social introduce a method for evaluating measures of #distinctiveness ( #keyness ) using synthetically generated, fully controlled text data.
#CLS #TextAnalysis #Evaluation #NLP #NLG #LiteraryComputing #CCLS25
jcls.io/issue/118/in...

Towards a perspectival moral history of the novel using LLMs Data for the article "Towards a perspectival moral history of the novel using LLMs" JCLS 2025.

As always: #OpenData and #OpenCode persistently available at: doi.org/10.5683/SP3/....
And the article: doi.org/10.48694/jcl...

Relative frequency of moral clusters by decade, comparing hierarchical and network-based clustering methods. Each line represents a moral cluster labeled by its most frequent keyword, with vertical position indicating the proportion of total moral keyword mentions assigned to that cluster in each decade.

By randomizing #LLM prompts and analyzing moral #keywords via co-occurrence #networks and hierarchical clustering, @andrewpiper.bsky.social uncovers latent “moral communities” across 20th–21st century #English-language #fiction.

New week, new article in #JCLS 4(1)! 🚀
We’re excited to announce @andrewpiper.bsky.social: “Towards a Perspectival Moral History of the Novel Using #LLMs”. Using 9,000+ Wikipedia plot summaries, he asks: What life lessons do stories quietly teach us at scale?
#CCLS25 #CLS #LiteraryComputing

As always: #OpenData and #OpenCode
Keith, A. (2025). calderon-gender-prediction. Archived GitHub Repository. Zenodo. doi.org/10.5281/zeno...

And the plays 🎭 come from @dracor.org of course ♥️.

Using a #GenderClassifier for #Spanish and model-explainability techniques, they identify which textual features most strongly influence the classification of speech as “male” or “female.”
The result? A human-interpretable view of the most gendered elements of dialogue in #Calderón’s #Comedias. 🎭

Figure 1: Gender classification for a character at different levels of granularity (blue = masculine, red = feminine). Saturation indicates model confidence.

Keith et al. develop quantitative methods to examine how gender is portrayed across 100+ 17th-century plays by #Calderón.
#CLS #DigitalHumanities #JCLS #LiteraryComputing #Plays #CCLS25 @dracor.org

We're thrilled to announce a new article from #JCLS 4 (1): Keith, A., @antoniorojascastro.bsky.social, Ehrlicher, H., Jung, K. & Padó, S. (2025): #ComputationalAnalysis of #Gender Depiction in the #Comedias of #Calderón de la Barca (10.48694/jcls.4055) can be found at #CLS #CCLS25 #Theatre

New paper out! Our Hebrew Novel Project started as a citizen science effort to collect data on thousands of novels. We quickly realized - surprise, surprise : ) - that reading is complex.

Instead of trying to normalize this complexity, we embrace it! Our paper offers a statistical-phenomenological look at the complexity of the reading act. Huge thanks to the amazing JCLS editors and reviewers! @jcls-io.bsky.social

As always: #OpenData and #OpenCode
Dekel, Y., Marienberg-Milikowsky, I., & Jacobson, G. A. (2025). "From Readers to Data." #JCLS 2025. Data set. Zenodo. doi.org/10.5281/zeno....
#CCLS2025 #CLS #CitizenScience #Hebrew #LiteraryComputing #CulturalAnalytics

Figure 2 from the article: Distribution of different categories of uncertainty (y-axis) across 23 questionnaire items of different types.

Jacobson et al. explore how #ReaderUncertainty becomes a source of insight by embracing interpretive #ambiguity.
Drawing on 1,026 questionnaire responses from the #HebrewNovelProject, they examine how readers express uncertainty—from skipping questions to outright rejecting interpretive frameworks.

From Readers to Data. Uncertainty in Computational Literary Citizen Science We examine uncertainty in computational literary citizen science by analysing The Hebrew Novel Project, a large-scale initiative collecting reader interpretations of Hebrew novels. While citizen scien...

This week, we announce another article from #JCLS 4 (1):
Gilad Aviel Jacobson, @itaymm.bsky.social, and Yael Dekel. “From Readers to Data: #Uncertainty in Computational Literary Citizen Science” (10.48694/jcls.4169).
Check it out at: jcls.io/issue/118/in... #CLS #CCLS25 #CitizenScience

A Powerful Hades Is an Unpopular Dude. Dynamics of Power and Agency in Hades/Persephone Fanfiction This paper employs Riveter (Antoniak et al. 2023) to analyze the dynamics of power and agency between the characters of Persephone and Hades in 482 short works of fanfiction (369,809 words total) abou...

My paper "A Powerful Hades Is an Unpopular Dude. Dynamics of Power and Agency in Hades/Persephone Fanfiction" jcls.io/article/id/4... is now published with @jcls-io.bsky.social. Thanks so much to the editors and peer reviewers who made this possible. I am proud as a peacock! 🦚

Open Data & Code can be found archived on doi.org/10.5281/zeno...

#DigitalHumanities #CulturalAnalytics #ComputationalLiteraryStudies #CCLS2025 #CLS #JCLS

Furthermore, while #Hades' power correlates negatively with #StoryPopularity, #Persephone's agency correlates positively with it, leading to the fittingly playful title, 'A Powerful Hades Is an Unpopular Dude'.

Plot of power difference of Hades and Persephone over time. Negative scores indicate that Persephone had more power; positive scores indicate that Hades had more power.

On average: Persephone shows higher power, while Hades exhibits higher agency — revealing shifting dynamics in myth reinterpretation. ⚖️
A fascinating look at #gender, #power & classical reception through #NLP and #fanfiction. ✨

@julianeugarten.bsky.social explores #power and #agency in fanfiction retellings of the #Persephone and #Hades myth — using #Riveter (by @mariaa.bsky.social et al. 2023), the study analyzes 482 #fanfiction stories to measure how Persephone and Hades are portrayed.

A Powerful Hades Is an Unpopular Dude. Dynamics of Power and Agency in Hades/Persephone Fanfiction This paper employs Riveter (Antoniak et al. 2023) to analyze the dynamics of power and agency between the characters of Persephone and Hades in 482 short works of fanfiction (369,809 words total) abou...

We're thrilled to announce the 3rd article from JCLS 4 (1): @julianeugarten.bsky.social “A Powerful Hades Is an Unpopular Dude. Dynamics of Power and Agency in Hades/Persephone Fanfiction” (10.48694/jcls.4208). #ComputationalLiteraryStudies #CLS #JCLS #DigitalHumanities #CCLS25

We're looking for further use cases of #Janeway in conjunction with #LaTeX-based workflows (e.g. #Overleaf).

Are you working with #OJS or LaTeX-based workflows in #DOA and would like to share your experience with us?

@evomri.mastodon.social.ap.brid.gy #JCLS

We're thrilled to see our publication out this week! 🥳
#JCLS is such a great place to publish our project results.
Many thanks to the editorial team for the quick publication process and for the great discussion at #CCLS2025!

--> #Code&Data can be found here:
github.com/literarylab/...