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Digital Humanities in the Nordic and Baltic Countries Publications
ISSN 2704-1441 · University of Oslo · 383 artikel di indeks
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AI in Higher Education: A CLARIN Community Survey
The easy access to generative AI applications, such as ChatGPT, may have huge implications for teaching and learning in higher education. Therefore, more and more policies to regulate the use of AI are published by countries and institutions; however, there is no general overview of the existing…
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The Inscriptions of Saint Sophia in Kyiv: Participatory and research grounded approaches to data collection during war
This paper examines community engagement, participatory methodologies, and inclusive practices in digital humanities as essential strategies for data collection during wartime. The Saint Sophia Cathedral in Kyiv, Ukraine, houses over 7,000 inscriptions spanning more than a millennium, composed in…
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Heritage Professionals and AI: Reflections on Current and Future Practices
This paper aims to establish a tentative, minimal framework for the implementation of Artificial Intelligence (AI) in heritage collections with a particular focus on collections management and curation. We begin by summarising relevant scholarship on the need for a diverse and inclusive…
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Searching, Exploring, and Analyzing Historical Letters and the Underlying Networks
Historical letters in archives are typically stored in fonds, based on letter recipients. To analyze the correspondences of a correspondent x, one has to aggregate the received letters in x’s own fond with the letters in the fonds of the correspondents yi who have received letters from x. To…
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Article based topic modeling on re-processed historical newspapers
Digitized historical newspapers are a promising source for economic, social, and political history. In spite of the fact that many historical newspapers are available today in some digitized form, their quantitative analysis has only sporadically found its way into the canon of scientific methods…
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Modeling Textual Emotions in Literary Fiction
This paper explores how finetuned transformer models can be used to examine the vast and underexplored emotional-historical dimensions of literary history. Drawing on a corpus of 859 nineteenth-century Danish and Norwegian novels, we develop an interdisciplinary framework for analyzing the…
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Quantifying Information Density in World-City Newspapers of Record and a Suburban Newspaper (1999–2018)
Economists and geographers describe world cities not only as major urban centres but also as influential hubs of economic, cultural, geographic, and technological innovation. Building on this idea, several scholars argue that world cities constitute autonomous ecosystems increasingly detached from…
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A World in Print
This Data Descriptor introduces the dataset Enevældens Nyheder Online (News during Absolutism Online). The Enevældens Nyheder Online (ENO) dataset provides a reconstruction of the contents of major newspapers in Denmark and Norway during the period of Absolutism (1660–1849). The dataset contains…
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Named Entity Recognition in the Historical Meeting Protocols of the Tartu City Council
In this paper, we describe our efforts to enable automatic named entity recognition in the historical meeting protocols of the Tartu City Council from 1918–1940, written in Estonian. We describe the conversion of automatically transcribed protocol pages into a form suitable for manual corpus…
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Carniolan Provincial Assembly
Historical parliamentary corpora offer crucial evidence for studying political discourse over time, yet their usability is often limited by poor OCR quality and incomplete metadata. This paper presents the enhancement of the Kranjska 1.0 corpus, a collection of Carniolan Provincial Assembly…
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Levels of Canonicity
In this paper we investigate the dynamics of canon formation in Danish Golden Age paintings using techniques of visual embeddings and network analysis. Canon formation is an intricate phenomenon, especially in that time frame and medium. Thus, this case study deeply intertwines art-historical…
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Detecting Climate Delay Discourses in Danish Parliamentary Speeches
As scientific consensus on anthropogenic climate change has solidified, outright denial in political debate has largely given way to more subtle forms of climate change rejection. These so-called climate delay discourses acknowledge the problem yet justify inaction, posing a growing challenge to…
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Consistency checking in a cloud of interlinked Cultural Heritage knowledge graphs
This paper presents a novel use case and functionalities of the new data linking service and portal SampoSampo – Connecting Everything to Everything Else on top of it, based on a Linked Open Data (LOD) cloud of related Cultural Heritage (CH) knowledge graphs (KG) of different application domains…
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Svalbard in the Norwegian Press Imagination
The article traces how Norwegian newspapers imagined Svalbard as part of the nation. By applying digital humanities methods developed at the National Library of Norway, in combination with discourse analysis (Fairclough 1992; Foucault 1972), it identifies the main spatial imaginaries and…
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ARCH-ON: A new ontological framework to describe archaeological objects for Digital Humanities research
This paper presents the idea and preliminary results of the ARCH-ON (Archaeological Ontologies) pilot project. This project aims to lay the groundwork for the semantic description and classification of archaeological artefacts, enabling new approaches to the recording, study, international data…
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From Old News to New Tools
We introduce a language model designed to help researchers navigate the contextual and temporal domains of Danish and Norwegian newspaper sources until the end of absolutism in Denmark (1849). Newspapers dealt with a broad range of topics, but often presented these in a somewhat limited number of…
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Using Large Language Models for searching explainable relations in a cloud of Cultural Heritage knowledge graphs
Knowledge discovery of “interesting” or even serendipitous relations in data, often called relational search, provides a novel Artificial Intelligence-based approach in Digital Humanities for studying Cultural Heritage. Relational search methods are traditionally symbolic, based on searching…
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Enriching Cultural Heritage Knowledge Graph Metadata from Finnish Texts with Large Language Models
This paper introduces the Finnish Named Entity Linker (FINEL), a tool that leverages Deep Learning models, including Large Language Models (LLMs), to recognize, disambiguate, and link Named Entities in Cultural Heritage texts. FINEL is designed to enhance the metadata of textual documents by…
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The Human Touch: Leveraging HITL for Quantitative Close Reading of Historical Corpora
This paper introduces Quantitative Close Reading (QCR), a Human-in-the-Loop (HITL) methodology designed to structure and enrich noisy digitized historical corpora – particularly text archives compromised by poor Optical Character Recognition (OCR) quality. QCR integrates manual annotation with…