Editors’ Summary: In this post, Salvaggio considers how a lot of current scholarship on LLMs is fixated on proving that they are conducting something “akin to thought.” He discusses a recent paper that tested the ability of LLMs to make sense of ‘Jabberwocky’ language in which most or all content words have been randomly replaced […]
Editors’ Summary: This article examines how DH scholarship in India is often undervalued because traditional systems value print-based research over digital, collaborative or public-facing work. Digital Curation, Metadata Creation, Multilingual Platform building are serious forms of intellectual labour that get overlooked in University Grants Commission frameworks. Within global debates of DH and local realities, this […]
Editors’ Summary: Here it is argued that digital literacy is not a luxury for incarcerated students but it is a basic requirement for meaningful education, employment, and social reintegration after release. In a world where applying for jobs, accessing services and learning is increasingly dependent on the digital, people in prisons are often left at […]
Editors’ Summary: Shawn Graham’s post describes an exploratory text analysis project using agentic coding and newspapers. He used Claude to help determine whether his local paper reported on the Jack the Ripper murders. The most difficult part of the entire process was the OCR of the newspapers, and he discusses the difficulties he encountered with […]
Editors’ Summary: In this post, Zach Butler highlights features of Marimo Notebooks, and demonstrates how Marimo is an improvement over Jupyter Notebooks. He points out how difficult Jupyter notebooks are to track by git, making version control and collaboration difficult. Unlike Jupyter notebooks, Marimo notebooks are actual Python files. The interface of the notebook opens […]
Editors’ Summary: This post uses data visualizations to analyze the way that musical motifs are used by musicals to further the storytelling. For the purpose of the study, the author defines motifs as melodic motifs that are sung. She demonstrates how musicals rely on motifs to create structure and meaning , especially when there is […]
Editors’ Summary: This paper uses geocoding to study 19th century Russian literature. The authors extracted location data using NER to quantitatively measure the literary “transition from romanticism to realism.” This paper is a helpful reference for readers who want to combine quantitative methods with historical periodization. See full post.
Editors’ Summary: Rhea Shukla’s work combines graphic design seamlessly into data processing and visualization. This project reminds us about visual accessibility: information needs to be made easy for members of the public (and not just for academics) to grasp and understand. This is where skills in graphic design, UI/UX development, and user research come into […]
Editors’ Summary: This piece provides a detailed report on using AI to transcribe manuscripts and the development of standards for transcription of medieval manuscripts. The research team began by creating a uniform database of over 300 medieval manuscripts across many languages. The standardization of this database allowed the corpus to be used to train an […]
Editors’ Summary: In this post, Douglas A. Boyd introduces an open-source tool for comparing the accuracy of machine-generated transcriptions to determine which is best suited for your project. His tool, the Transcript Accuracy Auditor, compares a machine‑generated transcript to a human‑corrected reference of the same interview and provides a score for WIP (Word Information Preserved) […]
