Editors’ Summary: This article articulates an AI-assisted workflow in developing a Python script to collect information at scale from the Internet Archive (IA) via IA’s API. IA is a large online container of websites, print materials, audios, newspapers, and others. The author correctly identifies a need to share more information about how users could interact […]
Editors’ Summary: This paper uses scientometrics to analyze how AI has been incorporated into university libraries and services to provide information literacy. The authors examine over 1,600 papers or research published between 2020 and 2025. This paper is a helpful overview for academics, especially librarians, to track the different directions and methods that other scholars […]
Editors’ Summary: This article engages with the transition between a dynamic (or dynamic-esque) software, like Tableau, to a more static presentation format, like PowerPoint. However, some of the philosophies mentioned here are transferrable to various types of presentations beyond Tableau and PowerPoint that we are familiar with in DH, including poster design and static website […]
Editors’ Summary: This post details the investigation into social media accounts that depict Black women through AI-generated characters in order to identify solutions to this quickly-growing problem. The joint investigation identified over 100 social media accounts running out of 34 different countries. These accounts all used entirely AI-generated media, depicted Black women, and were sexual […]
Editor’s Summary: This post provides a detailed explanation of how transformers work. Transformers in this context refers to a tool for sequence transduction (converting one sequence of symbols to another) an essential tool for natural language processing. The author provides a step by step discussion of how transformers work in terms of language, including many […]
Editors’ Summary: This post considers how generative AI has broken down the barrier to entry for doing digital history. The author argues that while AI is bad at doing history, it can enable historians to do good digital history. He acknowledges that in some instances code generated by AI immediately becomes technical debt, especially for […]
Editors’ Summary: This article re-emphasizes a sense of Humanities criticality in DH from the perspective of Oral History and how that becomes even more crucial in the Global South. The author highlights the construction of an oral history archive on Partition. This position leans heavily on the works of Sumallya Mukhopadhyay, who redirects focus from […]
Editors’ Summary: This project combines oral history interviews, digital storytelling, and GIS to map Sapphic areas of New York City. The author begins by visualizing all of the bars in NYC, and identifying the four bars that are explicitly lesbian bars. The author encourages the reader to move beyond the idea of bars as the […]
Editors’ Summary: This article argues that bespoke code used in digital humanities research should be treated as a core part of scholarly output rather than treated as invisible technical labor. It introduces defactoring, a method of close reading and restructuring, to reveal a project’s underlying computational narrative. The authors demonstrate this approach by unpacking the […]
Editor’s Summary: This post responds to another viral essay “Academics Need to Wake Up on AI” that argued that academia is in denial about how good Claude Code is at producing the 6,000–8,000 word journal article. The author argues that the peer-reviewed journal article as the primary unit of academic production is likely dead, and […]
