Digital libraries and archives are major portals to rich sources of information. They undertake large-scale digitization to enhance their digital collections and offer users valuable text data. When it comes to handwritten documents, usually these are only provided as digitized images and not accompanied by their transcriptions. Text in non-machine-readable format restricts contemporary scholars to conduct research, especially by employing digital humanities approaches, such as distant reading and data mining. The purpose of this thesis is to evaluate Transkribus platform as a linguistic tool mainly developed for producing automatic transcriptions of handwritten documents. The results are correlated with the findings of a questionnaire distributed to libraries and archives across Europe to expand our knowledge on the policy they follow regarding manuscripts and transcription provision. A model for a specific writing style in Latin language is trained and the accuracy on various Latin handwritten pages is tested. Finally, the tool’s validation is discussed, as well as to what extent it meets the general needs of the cultural heritage institutions and of humanities scholars.

Der Beitrag beschreibt ein laufendes Projekt zur computergestützten Erschließung und Analyse einer großen Sammlung handschriftlicher Liedblätter mit Volksliedern aus dem deutschsprachigen Raum. Am Beispiel dieses praktischen Projekts werden Chancen und Herausforderungen diskutiert, die der Einsatz von Digital Humanities-Methoden für den Bereich der Musikwissenschaft mit sich bringt. / This article presents an ongoing project for the computer-based transcription and analysis of handwritten music scores from a large collection of German folk tunes. Based on this project, I will discuss the challenges and opportunities that arise when using Digital Humanities methods in musicology.

Around 2010, a group of online content creators, commonly referred to as "Youtubers" or "BookTubers," began to emerge on YouTube.com. This community's content revolves around many topics under the realm of literature including book discussions, reviews, genre discussions, and many more. While the group started off small, it has grown significantly over the past decade; some of the most prominent creators have several hundred thousand subscribers. In the ten years since its emergence, the creators and content have transformed, where many in the beginning made video discussions just for fun, and now many of them have grown their channel into a financially successful career and have formed partnerships with publishing companies. Specifically within the BookTube community, young adult author John Green has revolutionized the platform and seen unprecedented amount of success. His novels along with their film and TV adaptations have inspired thousands of Booktube reviews and discussions, and John and his brother Hank Green have gained a massive following on YouTube. This essay examines BookTube as a collaborative community, a marketing platform, and a space for reception theory analysis by examining readers' discussions of John Green's Looking for Alaska. BookTube and other online communities are becoming increasingly important in people's lives, and analyzing these platforms is essential to understanding future generations.

Automatic understanding of stories is a long-time goal of artificial intelligence and natural language processing research communities. Stories literally explain the human experience. Understanding our stories promotes the understanding of both individuals and groups of people; various cultures, societies, families, organizations, governments, and corporations, to name a few. People use stories to share information. Stories are told –by narrators– in linguistic bundles of words called narratives. My work has given computers awareness of narrative structure. Specifically, where are the boundaries of a narrative in a text. This is the task of determining where a narrative begins and ends, a non-trivial task, because people rarely tell one story at a time. People don’t specifically announce when we are starting or stopping our stories: We interrupt each other. We tell stories within stories. Before my work, computers had no awareness of narrative boundaries, essentially where stories begin and end. My programs can extract narrative boundaries from novels and short stories with an F1 of 0.65. Before this I worked on teaching computers to identify which paragraphs of text have story content, with an F1 of 0.75 (which is state of the art). Additionally, I have taught computers to identify the narrative point of view (POV; how the narrator identifies themselves) and diegesis (how involved in the story’s action is the narrator) with F1 of over 0.90 for both narrative characteristics. For the narrative POV, diegesis, and narrative level extractors I ran annotation studies, with high agreement, that allowed me to teach computational models to identify structural elements of narrative through supervised machine learning. My work has given computers the ability to find where stories begin and end in raw text. This allows for further, automatic analysis, like extraction of plot, intent, event causality, and event coreference. These tasks are impossible when the computer can’t distinguish between which stories are told in what spans of text. There are two key contributions in my work: 1) my identification of features that accurately extract elements of narrative structure and 2) the gold-standard data and reports generated from running annotation studies on identifying narrative structure.

Introduction. Research data management is a topic of ongoing discussion, particularly in academic institutions, where researchers strive to effectively handle diverse types of data. This study examines the practices of research data management in selected digital humanities projects at Uppsala University. The objective is to as- sess the impact that data management plans (DMPs) on these interdisciplinary projects and evaluate the applica- tion of the FAIR guiding principles. It is crucial to consider the researchers’ perspective on this matter. Universi- ties could invest in robust data management practices by taking into account the needs and skills of researchers. Method. Semi-structured interviews were conducted using purposive sampling targeting researchers from various departments within the Faculty of Arts who were involved in interdisciplinary digital humanities pro- jects. Eight interviews were carried out with principal investigators (PIs) and researchers. Analysis. The interviews, along with the provided DMPs, were thematically analysed to address the re- search questions regarding the effect of DMPs in the selected projects. Results. The study findings indicate that the PIs and researchers do not perceive the DMP as an integral part of their research work in digital humanities projects. Nonetheless, most participants recognise its signifi- cance and its role could be enhanced in research projects. Challenges typically arise during stages of the research data life cycle, such as data analysis, rather than in the development of the DMP itself. Moreover, the practical implementation of the FAIR principles often poses difficulties due to variations in data types and project goals. Conclusion. The results of this study highlight the need for more actionable DMPs in digital humanities projects and further training for researchers on data management issues. The interdisciplinary nature of these projects facilitates collaboration among researchers in the development of DMPs.

This thesis investigates the User eXperience (UX) and risks associated with Virtual Reality (VR) technology in museum exhibitions. The study builds upon the Hybrid Museum Experiences: Theory and Design by Løvlie, Sundnes et al. (2022) and adopts the User eXperience in Immersive Virtual Environment (UXIVE) Model developed by Tcha-Tokey et al. (2018). The aim is to analyse the interplay between Flow, Presence, and Experience Consequence in VR experiences and assess the impact of computational skills on user engagement. Additionally, the study evaluates the effectiveness of VR exhibits in addressing common risks. Findings indicate a positive correlation between experience consequence and flow, as well as suggest a potential influence of computational skills on flow, and highlight the significance of presence in fostering engagement and immersion. The VR exhibits effectively mitigated the common risks, as reflected in positive participant feedback. This research contributes to enhancing UX in VR museum experiences and provides insights for designing immersive exhibits while managing associated risks. Further research is recommended to validate the study's inferences and delve deeper into the influence of computational skills on flow.

In this thesis, the practice of Chaos magick and the practice and mythology of Discordianism are compared to different subversive techniques used in internet culture and specifically in internet trolling. Chaos magick is described from the sigil-making of Austin Osman Spare through the playbacks of William S Burroughs to contemporary practitioners. The Chaos magick practices unveiled in this investigation are compared to practices in internet culture and specifically internet trolling through avariety of different themes, from memes to doxing to the chaos of apophenia.

博士(文化情報学) / Doctor of Culture and Information Science / 同志社大学 / Doshisha University

This master thesis aims to analyse the data curation situation and the decision-making processes of the archivists at the Swedish Peace Archives. With the theories in data curation and methodology in analysing both accessible web content and interviews, this thesis hopes to shed light on the institutional perspective in managing digital archives. By studying and analysing the empirical materials from the online archive websites and the database, the data curation theories are applied to locate the archive practices at different levels. The method in collecting qualitative data from interviews with the archivists gives insight into archive works and digitisation processes in the digital archives today.  The results show the complexity in data management from digitisation to curation, and digital archives as an information-intensive digital environment has caused the merge of humanities and archives scholarship. This shows the limitation in the data-centric digital humanities frameworks when discussing archive management and technical interoperability. A further study with more focus on individual institutions with their unique workflows, stakeholders, and material types in mind is therefore suggested.

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