ManoWhisper is an end-to-end research pipeline for collecting, transcribing, and analyzing hateful and misogynistic podcast content, built to support peer-reviewed and policy-facing research on gender-based extremism. This paper argues the tool reframes harmful media as a site of feminist methodological inquiry, with implications for understanding how such content spreads across platforms and into AI training data

In their introduction to the second DHQ special issue on Critical Code Studies, Jeremy Douglass and Mark C. Marino survey recent developments in the field and argue that generative AI makes critical code reading more urgent, not less.

It is a commonly held belief that all politicians sound the same but do they, actually? We combine machine-learning and the model explainability method SHAP with human judgements to measure how distinct plenary speeches in the Finnish Parliament truly are and which features make them so.

This article argues that the consideration of epistemological friction is essential to DH computing. It proposes a framework outlining common sites of friction with the intention that it be used as a pedagogical scaffold.

A detailed case study describing the conversion of Daniel Huws’ seminal Repertory of Welsh Manuscripts and Scribes into a dataset for analysis and publication, giving an insight into common issues in the conversion of printed texts into datasets, and a glimpse of how the dataset is giving us new insights into Welsh manuscript culture.

Discover how 19th Century Paris trade directories become powerful tools for mapping urban transformation — where history meets data science.

This article explores the process of developing a digital annotation methodology that allows for the creation of contextual arguments out of entity annotations for both texts and images based on user-defined data models.

Evaluative infrastructures in Indian higher education continue to marginalise digital scholarly work by equating academic value with print-based authorship and closure. This proposed framework imagines something better and more equitable.

This paper examines measures of distinctiveness (also known as keyness measures), employing a qualitative, comparative evaluation of three different measures: logarithmic Zeta, Welch’s t-test, and Log-likelihood ratio test.

Recent legal changes in the USA don't change the fact that ebooks are expensive and generally unsuitable for digital corpus construction.

Prison staff policing pleasure? The database Coding Carceral Censorship turns dry DOC paperwork into blazing receipts of gender- and race-skewed publication bans on sexual speech.

This discussion is about feminisms, Digital Humanities (DH), stacks, and archives. We argue for Full Stack Feminism, as a methodological approach, informed by the successes of previous feminist interventions in DH.

In this case study the authors explore Attic vase painters using CNNs, investigating image similarity through both archaeological and computational perspectives.

Keywords are not neutral, but interpretive tools. This research investigates the analytical consequences of keyword generation in a complex, high-stakes case.

The paper presents a study that applies information theory to uncover the subtext in Chekhov’s story Ward No. 6. By adding glosses that make the story’s implicit knowledge explicit, several enriched text versions were created, alongside one intentionally misleading version. By the measures Skewness and Kurtosis, meaningful subtextual enrichments could be distinguished from the fake, as the distributions of information density in the meaningful enriched variants differ clearly in shape from those in the fake enrichments.

How to walk in the steps of 18th-century scientists roaming the Alps to document the history of the Earth and the physics of the atmosphere? At the crossroads of experimental history of science, digital humanities, and public history, this contribution showcases an “ecology of media” to be navigated as an ecological milieu.

The study presents promising outcomes with proper preprocessing, model selection, and parameterisation. Our findings encourage further exploration and refinement of the methodology employed.

Concerned about the state of the Internet today? Time travel back to the 1990s to find out how it all started — and how DH was involved — in this review of Claire Warwick's new book

Keywords are not neutral, but interpretive tools. This research investigates the analytical consequences of keyword generation in a complex, high-stakes case.

Prison staff policing pleasure? The database Coding Carceral Censorship turns dry DOC paperwork into blazing receipts of gender- and race-skewed publication bans on sexual speech.