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Category: Editors’ Choice

Editors' Choice

Editors’ Choice: Introducing Booksnake: A Scholarly App for Transforming Existing Digitized Archival Materials into Life-Size Virtual Objects for Embodied Interaction in Physical Space, using IIIF and Augmented Reality

Editors’ Summary: This paper introduces a new mobile app named “Booksnake” that takes a unique approach toward using immersive technology in the humanities. It allows users to display archival materials virtually through projecting a piece of archival document to the user’s surrounding environment via a phone camera. The authors both present theoretical engagement on how […]

Editors' Choice

Editors’ Choice: Open Maps: New Research Directions and Workflows for Digitized Historical Cartographic Material | Open Maps Meeting

Editors’ Summary: This working paper from the Open Maps Meeting in 2024 showcases the various methodologies and research frameworks adopted by projects involving GIS, spatial mapping, and other technologies. The paper points out that “the digital turn has fostered a spatial one,” which is an important reminder for the DH community to critically engage with […]

Editors' Choice

Editors’ Choice: ADA Title II Urban Legends: Sorting Fact from Fiction About the 2024 Updates

Editors’ Summary: This post by the Digital Library Federation addresses misconceptions or inaccurate statements regarding ADA Title II, which prohibits discrimination on the basis of disabilities in government programs. Ensuring accessibility is an important topic in Digital Humanities, but many people might not be familiar with the exact steps to implement more inclusive and accessible […]

Editors' Choice

Editors’ Choice: Extracting A Large Corpus from the Internet Archive, A Case Study

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' Choice

Editors’ Choice: “How Artificial Intelligence is Reshaping Information Literacy in Academic Libraries: A Global Scientometric Analysis (2020–2025)”

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' Choice

Editors’ Choice: Building Tableau Dashboards for the PowerPoint Download

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' Choice

Editors’ Choice: AI Blackface: Profiting on racist depictions at scale

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 […]

Editors' Choice

Editors’ Choice: Transformers from Scratch

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' Choice

Editors’ Choice: Vibing Digital History

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 […]