The idea of using the number of Wikipedia sitelinks as part of the “Metrics of World Literature” as “a simple measure of canonicity”, has been gaining traction. We aim to adapt the idea that multiple language versions can serve as a marker of canonicity to a specific canon project.

This contribution introduces a numerical canonisation score to measure and compare the canonicity of texts in English and German literary corpora. By generating doc2vec embeddings and calculating text similarities, it examines the influence of canonised works on subsequent literary production.

Presentation of a generic structure for book list data (transcriptions and book identification data) based on IFLA's FRBR standard to enhance interoperability and reuse of book list data among book historians for better analyses. We will discuss the structure and its use in two case studies.

This paper presents AI Emily, a pilot parallel corpus of 40 original and 360 AI-generated poems by, and in the style of, Emily Dickinson. This richly annotated dataset will provide an historical record of the developing poetic capabilities of generative AI models, with potential for use in cognitive neuroscience experiments.

This study leverages speech recognition technology to measure words per second (WPS) in theater productions, enabling the detection of rhythmic transformations and mutations during the creative process while addressing the challenges posed by stylized theatrical diction.

This paper seeks to explore Indian Digital Environmental Humanities (IDEH) by applying an ecophenomenological approach and survey analysis of viewers/players’ experience of two open-access Indian electronic literary works: Priti Pandurangan’s Meghadutam and Shanmugapriya’s Lost Water! Remainscape?

We argue that sonic technologies in museums dismantle colonial ‘empires of sight’ and increase the accessibility of cultural heritage through other senses. Through ethnographic field work examining current uses of sound and artistic experiments with AI sound generation, we connect histories of sonic innovation/intervention in museums to technofutures of AI.

The paper analyzes issues linked to AI-generated historical content, using Italian Fascism as a case study. It highlights risks such as incorrect data or biased interpretations of complex history, potentially distorting public memory and historical narratives in the AI era. ChatGPT exemplifies these challenges in generating reliable historical insights.

The PREC.PT project examines the role of Theatre and Performance in democracy building during Portugal's ongoing Revolutionary Process (1974–75) through archival research and oral history. Leveraging multimodal digital oral history, the project's archive aims to integrate paralinguistic and text-based annotation and indexing to improve data analysis, access and user experience.

The paper is methodological reflection on co-occurrence networks in drama research. Comparing a manually encoded gold-standard corpus with more operationalized approaches, we highlights critical trade-offs between convenience and rigor. Ultimately, we aim to offer insights into improving network analysis for drama research and refining the balance between scalability and accuracy.

This submission deals with the digital edition of the theatre chronicles of Philip Gumpenhuber and the challenging modelling of historical performance data.

This study examines the impact of the Festival Off Avignon on Parisian theater programming, focusing on its 2013 edition. It calculates reprogramming rates for festival shows and employs text mining and topic modeling to identify which features, like genre and theme, appear most frequently in the reprogrammed shows.

Data discoverable on the Semantic Web allows for the exchange of structured information across projects.Through this exchange we can enhance own scholarship amongst researchers. Now, we need to consider how this exchange helps us to collaboratively shape the narratives that lie within that data.

“Fires of Industry: Environmental Inequalities in Mid-Century America” is a digital humanities project developing, mapping, and visualizing a new dataset of environmentally burdensome sites in American cities circa 1950. Juxtaposing this data with racial demographics and income, it explores historical environmental disparities and their ongoing impact on health inequalities.

This paper describes a digital/AI literacy toolkit developed as part of a collaboration between researchers and mask artists, basket weavers, and musicians in Burkina Faso. The toolkit covers four main themes - Awareness, Promotion, Innovation and Protection - to address diverse aspects of community-led digital data governance for cultural heritage.

Drawing on case studies and participant testimonies, we demonstrate how CSUF DEFCon has fostered a new paradigm for digital scholarship that prioritizes cultural preservation, community engagement, and social justice. The paper outlines future directions for grassroots digital ethnic studies and for communities of practice that amplify diverse cultural perspectives.

This presentation tackles the difficulties and inequities that prevent digital humanities from intersecting with fields like postcolonial literature. It follows three different attempts to launch projects that perform text mining on postcolonial literature and the main obstacles encountered in the first stage of obtaining or constructing a viable corpus.

This study examines negativity in early colonial Nigerian newspapers through comparative analysis of lexicon-based methods and LLMs. Results show LLMs better align with human evaluation, revealing negativity primarily manifests as anger and disgust, consistently coexisting with high anticipation—suggesting a more nuanced emotional landscape than previously recognized in historical scholarship.

Esta apresentação se concentrará no trabalho realizado durante o projeto de colaboração Text+ "Pessoa Digital", discutindo a importância das mudanças implementadas para garantir a sustentabilidade e modernizar a infraestrutura digital da edição acadêmica digital “Fernando Pessoa. Projects and Publications” e como elas se encaixam na infraestrutura do consórcio Text+.

Se analiza a las Bibliotecas Públicas de Bogotá como plataformas de co-creación de narrativas digitales de historia pública entre 2018 y 2021. A través del análisis de Los bogotanos del Bogotazo y Marca de agua se destaca cómo la mediación digital desafía narrativas oficiales y democratiza el conocimiento histórico.

Este artigo apresenta uma revisão crítica da literatura dos princípios éticos no universo da Inteligência Artificial (IA), investigando a sua conexão com as Humanidades Digitais (HD). Tem como objetivo refletir sobre o campo epistémico e identificar os desafios, práticas e recomendações, através de uma abordagem qualitativa.

Small-to-medium galleries face significant challenges in preserving and sharing their contributions, relying on spreadsheets or paper records.This issue is exacerbated by proprietary data platforms, which reduce data sovereignty. This paper presents a low-tech solution developed to normalize, preserve, and share gallery data, emphasizing sustainability, inclusivity, and resistance to digital monopolies.

We present a method for inferring semantic social networks from textual data by analyzing terminological similarities using topic modeling. Applied to a corpus of 3,698 scientific articles in astrobiology, this approach identifies "hidden communities of interest" (HCoIs)—groups with shared semantic content—and enables diachronic analysis of community evolution.

This study employs Network Theory to investigates the similarities and differences in co-occurrences within Ancient Greek and Latin texts from pre-Christianity and during the early Christian period. The case study focusses on mentions surrounding mentions of Plato in these texts.

This paper examines debates on a German anti-hate speech law called Netzwerkdurchsetzungsgesetz (NetzDG) on Twitter/X. By applying network analysis, NLP methods, and close reading, it investigates content published by the most retweeted accounts mentioning the law, considering their potentially high influence in shaping the discussion on the platform.

This work discusses ongoing tests and development of an R Shiny Web Application to visualize a dataset of National Health Service, Centers for Disease Control and Prevention, and World Health Organization Tweets during 2020. Interactive visualizations display different text analytics using tidytext and quanteda.

Gephi Lite, a web based and lighter version of Gephi, aims at pursuing Gephi original ambition: democratizing network visualisation edition through visual means. In this paper we present what the web does to network visualisation edition while presenting Gephi Lite main features.

Using Transformer-based models, this study contributes to an inclusive approach to understanding history, examining how males and females were depicted differently in medieval Chinese epitaph verses and which classical texts these verses resemble. The findings highlight a discourse shaped by patriarchal privileges, echoing the assertion that "the subaltern cannot speak."

This paper uses computational methods to analyse how Lady Augusta Gregory's translations of traditional Irish legends reimagined the original works for the purposes of aligning them with cultural nationalism and the Irish Literary Revivalist perspectives.

This paper examines references to Greco-Roman authors across disciplines in a corpus of 56,116 academic articles. Using digital methods, it identifies citation patterns, compares rankings with L’Année Philologique (bibliographic database of classical studies), and explores disciplinary differences.

This study analyzed reception of ecological discourse in 20^th century US novel through computational criticism. We discovered a lexical family resemblance defined as “Pan-ecologicalness”, and implemented ecological discourse as a held-out example of genre changes throughout 20^th century.

This study presents an approach focused on natural habitats, plants and animals in German-language literature. To find out more about the aesthetic design, representation and distribution of ‘ecological codes’ we develop a classifier for animals, plants, and habitats in literary texts and apply it to 682 texts.

In a multilingual database of literary works, users will want to find a story's various versions. Therefore, we must conceptualize the threshold between narrative content (story) and its expression in language. While specially designed for evolving narrative traditions, our solution is grounded in the Functional Requirements for Bibliographic Records model.

To facilitate the description of versions and the creation of a version history, this contribution proposes a version assist system for digital editions. This system returns automatically generated change descriptions of changed resources that are comprehensible because each change is described as a purposeful, rule-based and contextualised action.

This proposal discusses the evaluation and editing of digital academic objects in digital humanities, emphasizing their epistemological value. It proposes a model based on Bhaskar’s publishing theory, focusing on academic rigor and technical precision. The goal is to enhance DH’s recognition and create a more accessible academic publications.

As a co-creative method, collage can stimulate the design of collection visualizations by integrating diverse materials and perspectives. This retrospective reflects on a decade of workshops with over 15 partners in the arts and humanities, highlighting how this participatory format can bridge diverse backgrounds and generate insights and ideas.

This paper presents a comprehensive review of semantic annotation practices applied within the DH domain. Focusing on current methodologies, tools, and frameworks, we developed a multidimensional classification schema to assess annotation systems, along with a critical overview of semantic annotation in DH. The paper concludes with recommendations for future research.

This paper provides a conceptual overview of visualization-based storytelling tools developed in MEMORISE. We introduce a triangular definition of visualization-based storytelling, which we apply to the Heritage of Nazi Persecution (HNP). We introduce visitor-driven, expert-driven, and witness-driven storytelling, and we describe visualization and storytelling tools for diverse user groups.

Many provenance databases do not meet FAIR standards.This paper emphasises the need for FAIR provenance data and proposes a method to create structured and FAIR data that can be achieved by non-experts. It also critically discusses why FAIR provenance data may not always be better.

Advanced computational methods in digital humanities have increased demand for text-mining files, including third-party licensed datasets, which present data sharing challenges. This presentation explores navigating these challenges through a case study of a librarian assisting a PhD candidate in sharing licensed research data from various vendors.

The FAIR principles (Wilkinson et al. 2016) are important in sustainable research data management. Applying FAIR assessment tools in a real-world, domain-specific context, we find the overall FAIRness score and ranking roughly comparable between tools, while the individual categories (Findability, Accessibility, Interoperability, Reusablility) vary due to different test collections.

We suggest combining curation with research-driven approaches: (1) digitization and indexing of archival material as well as (2) collection and analysis of underlying meanings and perspectives of the actors through ethnographic methods. This is showcased regarding everyday culture surrounding community function halls with restaurants, central establishments for rural communities.

This presentation explores the challenges and opportunities of implementing open data in Catalan archaeology. It examines the current infrastructure, researchers' practices, and barriers to data openness. The study provides recommendations to promote a new research culture, with the goal to lead a smooth transition to open archaeological research.

I build on my previous research on "time maps" by expanding their theory and demonstrating their interpretive utility. Time maps are the graphs which are produced when a narrative’s fabula is plotted against its syuzhet. I introduce three advanced theoretical concepts, then use time maps to close-read several narratives.

This study examines subset selection in bibliographic research, focusing on Finnish literary history (1809–1917). Comparing manual and automated curation, we highlight their respective strengths and limitations. We propose a hybrid approach combining automation for scalability and manual curation for precision. Our findings enhance transparency, accuracy, and reproducibility in literary datasets.

This study employs a computational approach to analyze game mechanics using a collection of 296 predefined mechanics. By identifying their occurrences across a large dataset of games, we reveal trends in their popularity, evolution over time, and their relationships to game genres, demonstrating the method's potential for "computational game studies".

In this bi-national study comparing attitudes towards digital humanities in China and the UK, we explore interviewee responses towards a number of questions around DH identity formation, research infrastructures and professional structures. We discuss proposals to foster greater transnational exchange, using China and the UK as a case study.

Digital Humanities must critically study datasets to avoid intrinsic bias. This paper analyses bias in 13 datasets from the largest meta-collection of hate speech datasets, discovering hidden bias as a temporal trend of reduced lexical variability and dispersion, and a disproportionate focus on specific social groups or language types.