This workshop is an introduction to using text mining tools such as I-Analyzer for qualitative research, on both a theoretical and practical level. Learn how to design effective lists of search terms, how to become aware of your context, and how to use datasets containing millions of documents!

This workshop, divided into two segments, will introduce people to Spyral Notebooks, a notebook programming extension to Voyant Tools. We will demonstrate how Spyral Notebooks let researchers and students annotate, modify, and save visualizations and analytical results from Voyant.

This workshop introduces the GOLEM ontology and knowledge graph, designed for analyzing narratives and fictions. Interoperability and integration with existing standards have guided its development. Participants will learn how to apply narrative theory through this semantic model and how to query the graph to explore and analyze narrative data.

Das Panel diskutiert Ansätze zur Gestaltung diskriminierungssensibler Metadaten und analysiert drei Fallstudien aus GLAM- und Universitätskontexten. Im Fokus stehen ethische Herausforderungen, FAIR/CARE-Prinzipien und praktische Lösungen aus dem Handbuch zur Erstellung diskriminierungsfreier Metadaten für historische Quellen und Forschungsdaten (Mähr/Schnegg 2024). Ziel ist die Förderung transparenter, inklusiver Datenpraktiken über den gesamten Forschungsdatenlebenszyklus hinweg.

This study applies stylometry to investigate possible changes in word usage in an author after surviving an episode of severe aphasia. Changes may have been observed in indefinite pronoun use.

Non-professional communities are vital partners in cultural heritage research. ATRIUM collaborates with diverse groups, from metal detectorists to deaf citizens, to improve accessibility and co-develop research. This presentation will explore our collaborative methodologies and the ongoing work on participatory research and its impact.

“Grounding Exercises” transforms online accounts of depersonalization and derealization (DPDR) into visceral, multi-sensory data visceralizations. Using text analysis, the project explores body-focused metaphors and symptoms shared on the subreddit r/dpdr, advocating for greater awareness of this under-researched disorder. These data-driven representations foster empathy, bridging gaps between sufferers, clinicians, and the broader public.

This project performs text analysis of news media and social media postings discussing autistic-created media as well as the broader conversation about autism to understand the impact of authentic autistic representation in mainstream media on the broader culture's attitudes toward autism and autistic people.

This research is grounded in recent scholarship on the geospatial analysis of the US Federal Census data from 1880, 1910, and 1920. Drawing on interdisciplinary approaches from the social sciences and humanities, the talk explores residential networks and domestic-social habitus— the unique characteristics of communities navigating profound social transformations.

Discovering audiovisual collections is often achieved through contextual metadata. On this panel, project partners describe using AVAnnotate, open-source software that leverages IIIF and GitHub in a minimal computing workflow that produces standards-based, user-generated, online projects that provide sustainable and much-needed commentary and context around under-used and culturally sensitive AV collections.

This paper discusses the workflow and results of the European Literary Bibliography (ELB) initiative. The ELB is an ongoing international project aimed at processing, integrating, enriching, presenting, and visualizing multilingual bibliographical datasets to enhance the understanding and exploration of the European literary landscape.

Showcasing scalable solutions for under-resourced disciplines and addressing questions of accessibility and sustainability, we present the first Old Norse HTR model with ground truths in Open Access. By fine-tuning CATMuS-medieval on sparse data, we achieved notable accuracy improvements, demonstrating that today only a few pages are indeed enough.

We will discuss the formation of a diverse group of partners who collaborated to streamline a distributed digitization and description workflow for medieval manuscripts across the midwestern United States, and how, through these collaborations, we have uncovered/recovered collections of distinction that are already impacting new and emerging scholarship.

Collective Biographies of Women, a feminist prosopography and study of short biographies, explores not only the results of stand-aside XML annotation of Biographical Elements and Structure Schema applied to ~400 chapters in 1270 books but also experiments with AI versions triangulated with available Wikidata, VIAF and other linked data.

Leveraging comprehensive bibliometric analysis of OpenAlex (2000-2024) and Korea Citation Index (2002-2024) datasets, this pioneering digital humanities study maps the intellectual history of modern Korean literary studies. Through computational methods, we reveal the dynamic interplay between Korean literature and global literary discourse, illuminating patterns of cultural exchange and scholarly evolution.

The panel discussion addresses the need for a new data culture in history and beyond with the aims to understand the fundamental epistemological affordances of the post-digital moment; to develop the necessary quotidian practices and disciplinary protocols; and to negotiate new understandings of history as a discipline of societal relevance.

The AIAI Data Collective applies Critical AI frameworks to latent questions of AI data storage. We are developing a digital tool that guides users through a decision-making process for ethical AI data management, resulting in recommended practices that address critical and ethical concerns such as labor, privacy, and bias.

This research proposal explores the intersection of Critical Digital Humanities and Generative AI, aiming to enhance critical thinking in education. Through a mixed-methods approach, it will develop practical guidelines for educators, addressing challenges such as bias and transparency while fostering thoughtful engagement with AI technologies.

This paper, though examining discourses on access to digital archives (particularly community digital archives) and discussion on building care in access from the Stories on Contested Histories International Programme 2024, argues that studying challenges of access to digital archives and collections can help in conceptualising frameworks for inclusive access.

The paper invokes three narratives of disruptive digital projects that make comics accessible through AltNarrative, a multilingual digital repository, or the inception of a lab to create a born-digital and an inclusive comic of the future. The issue of web or digital accessibility is evaluating with respect to WCAG2.2 compliance.

This paper presents a framework for integrating LLMs into critical research work flows, addressing legal, ethical, and methodological challenges. Drawing on projects analyzing historical newspapers and court records, it emphasizes aligning LLM use with established hermeneutical practices to navigate automation responsibly and set standards for DH research and beyond.

This study utilizes phonotextual and cartographical perspectives to analyze Guangzhou Bamboo Branch Poetry, exploring emotional expressions and cultural landscapes. By examining textual features and Cantonese phonetics, we reveal the interplay of history, landscape, and local customs, highlighting the genre's significance in documenting urban life and cultural evolution.

This study explores scene change detection in 20th-century US-American romance fiction using manual annotations and automated methods. Manually annotated novels build the training data for fine-tuning an English BERT USE model, yielding promising preliminary results for automated text segmentation in computational literary studies.

This paper explores ways of representing the complex ways that landscapes can be described and how this changes over time drawing on the concepts of ‘picturesque’ and ‘wild’ in the English Lake District. It evaluates a range of approaches to landscape description and perceived nearness and how these changed over time.

This contribution proposes a multifaceted evaluation framework for assessing the performance of Large Language Models (LLMs) in encoding historical letters according to the TEI Guidelines, using the Joseph von Hammer-Purgstall correspondence edition as a case study.

We investigate the extent to which LLMs are able to learn a redefinition of a concept from literary studies, focalization, and apply it adequately to text examples. It shows that, with one exception, there are no statistically significant differences between the LLM output for prompts with and without the redefinition.

Aiming to study cross-cultural narrative patterns, this research develops a computational framework for extracting character features from English and Chinese fanfiction. By evaluating traditional Bert-based models and LLMs on tasks including character recognition, coreference resolution, dialogue and trait extraction, it provides insights into NLP tools' performance in characterization analysis.

We developed a system to automatically assign word sense tags to all content words in a substantial historical Japanese corpus, comprising over 20 million words. Our approach leverages a system based on Bidirectional Encoder Representations from Transformers (BERT), achieving an accuracy of 88.57%.

In this work, we propose a framework for extracting, annotating, attributing and visualizing dialogue characters in classic Chinese novels. We leverage interactive workflows to incorporate expert’s knowledge in the dialogue character extraction and attribution process.

As the digital humanities have matured, the field increasingly calls for support of existing work in danger of obsolescence. This panel offers multiple perspectives on sustainability of digital projects, as well as their underlying data and infrastructure. Panelist presentations include concrete examples and discussion of the funding landscape.

In 2024, the UChicago Center for Digital Scholarship hosted its first Library and Emerging Technologies Summer Camp, a workshop series aimed at teaching the basics of Digital Scholarship and fostering opportunities for collaboration among library staff. This paper describes the lessons learned from this project and our hopes going forward.

The Edut 710 initiative addresses selection, attention, and dissemination biases in real-time digital archiving of mass atrocities, emphasizing accessibility. Using computational tools and iterative methods, it ensures inclusive representation of over 1,200 testimonies documenting the October 7, 2023 Hamas attack. This model redefines ethical, accessible digital archiving for contemporary events.

A pesquisa aborda os desafios éticos nas Humanidades Digitais no Brasil, explorando dilemas relacionados à privacidade, vieses algorítmicos e ciência aberta. Destaca a importância da ética reveladora (disclosive ethics) como ferramenta crítica para promover práticas responsáveis, justas e transparentes, visando fortalecer a integridade científica em um contexto de crescente complexidade tecnológica e informacional.

This paper advocates for an approach to DH pedagogy that integrates DH concepts with global cultural frameworks and narratives using historicization, contextualization, and analogizing as key moves. Combinatorial vector-based semantics is the proposal’s use-case concept, which is linked to inclusive, non-Western perspectives as illustrative of the approach.

We use computational text analysis and qualitative coding to explore how, when, and where “AI” and associated concepts/methods (like “LLM”) appear in course descriptions collected from the University of California and the California State University systems’ course catalogs for all departments, focusing on data for Academic Year 24-25.

This panel showcases the need for stronger collaboration between research infrastructures enabling data FAIR-ness, training programmes ensuring competent reuse of language data and data journals establishing rigorous review processes. This is essential to ensure data quality, relevance, and impact, maximising its potential for reuse in research, education and societal contexts.

This panel explores diverse dimensions of openness within the galleries, libraries, archives and museums (GLAM) sector globally, shaping discussions about accessibility, inclusivity, participation, and knowledge democratisation. Cultural heritage institutions are responsible “to all citizens”. Yet there are gaps relating to collections, knowledge, policy, technology, engagement, IP, ethics, infrastructure and AI.