The article examines how the roles of humans and machines are described in relation to authorship in story generation research. The field forms its own distinct context, which seems to differ in its approach from other forms of computer-generated literature.

Drawing from the debates on multilingual DH and scholarly publishing, we argue that any digital research infrastructure purporting to support knowledge diversity across disciplinary and national contexts must actively work to provide tools to facilitate, publish, and promote research in languages other than English. To show how multilingualism can guide infrastructure development and foster connections with diverse audiences, we describe the translation process of the interface of a research infrastructure, the Humanities and Social Sciences Commons, into four languages. Con base en los debates recientes en las humanidades digitales multilingües y la publicación académica, argumentamos que cualquier infraestructura de investigación digital que busque fomentar la diversidad de conocimientos en distintos contextos disciplinares y nacionales debe trabajar activamente para proporcionar herramientas que faciliten y promuevan la investigación y la publicación en idiomas distintos del inglés. Para mostrar cómo el multilingüismo puede guiar el desarrollo de infraestructuras y fomentar conexiones con audiencias diversas, en este artículo describimos el proceso de traducción de la interfaz de una infraestructura de investigación, el Humanities and Social Sciences Commons, a cuatro idiomas. Com base nos debates sobre humanidades digitais multilíngues e publicações acadêmicas, argumentamos que qualquer infraestrutura digital de pesquisa que pretenda apoiar a diversidade de conhecimentos em contextos disciplinares e nacionais deve trabalhar ativamente para fornecer ferramentas que facilitem, publiquem e promovam pesquisa em línguas diferentes do inglês. Para mostrar como o multilinguismo pode orientar o desenvolvimento da infraestrutura e fomentar conexões com públicos diversificados, descrevemos o processo de tradução da interface de uma infraestrutura de pesquisa, o Humanities and Social Sciences Commons, para quatro idiomas.

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.

English keywords in programming languages are waypoints that experts come to associate with a very specific beahvior or meaning. Novices have the potential to read many possible meanings from these words: how might this affect their learning and understanding of program behavior?

The practice of naming things — in general, but also specifically for software code — is an important and meaningful rhetorical activity, even for the seemingly trivial names of variables, functions, or files.

Close reading the code of a sentiment analysis tool, TextBlob, helps us see how programs that claim to extract and compute emotion are actually replacing feeling with data.

In the historical development of code as an epistemic tool, state was created to receive what code could not directly represent. With machine learning, where state is central, code is now tasked with making sense of exactly what it was designed to exclude.

Horton and Burner analyze the analog video game Volleyball from 1973, exploring its program at four levels of abstraction, from hardware to logic flow to human-legible game. Reading the Magnavox Odyssey--the world's first home video game console--as an analog computer and explaining how the game combines digital, analog, and physical modalities to offer us new insights into digital code and its relationship to analog environments.

This article reads the writings of Ada Lovelace through the histories of programmable computation, the rise of clerical labor, and gendered intellectual collaboration. The article concludes with a critical code studies reading of Lovelace’s first computer program.

In computational humanities research, code is not merely a tool but an inscription of methodological choices deserving critical attention. This article presents defactoring as a practice for analyzing bespoke scholarly code and argues for its integration into academic publishing conventions.

This paper suggest a simple, yet enriching and effective technique for interdisciplinary research teams which develop computational methods: reading code aloud. Try it out!

Rapid changes to platform affordances quickly render digital tools and data collection methods obsolete. This article examines these challenges within the context of Twitter (X) following its 2022 acquisition by Elon Musk, and the subsequent limiting of access to the API for data collection.

PLACEHOLDER

Wikipedia can serve as a bridge between community partners and classrooms of higher-ed institutions by centering community histories in accordance with the mission of community organizations to achieve key pedagogical goals, including the development of critical data literacy skills.

Speech becomes data, then style becomes destiny as this piece reveals how speech to text translation quietly standardizes English through a hidden consistency bias across thousands of Chinese audio sourced sentences. Step inside the CoVoST corpus and see the surprising patterns that shape what we read and what gets lost when voices cross languages and formats

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.

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