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Issues of Social Justice, broadly conceived, are increasingly being included as a component in digital humanities scholarship or are the reason d'etre of the research itself. Equally, issues of ethics, privacy, and copyright are taking on greater prominence in DH scholarship. This short paper focuses on the creation of a course for the #dariahTeach platform, Social Justice in the Digital Humanities: Diversifying the Curriculum.

The contribution utilizes the information density of the arrival lists published in the 18th century newspaper "Wien[n]erisches Diarium" with the help of digital, (semi‑)automatic methods: high-quality full texts are created with Transkribus and the entities named herein (e.g. points of entry/lodging) are extracted, geocoded and visualized on historical city maps.

This presentation explores how n-grams can be used to automatically classify and learn about music. An overall discussion is provided of various ways in which n-grams can be adapted for use with digital scores, and of how musically meaningful features can be extracted from them. The jSymbolic 3.0 alpha prototype feature extractor is then used in three sets of music classification experiments investigating how n-gram features perform relative to and combined with other types of features extracted from symbolic music files., Funded by the FRQSC and SSHRC.

We present a Web application that facilitates the deep visual search of image collections using contemporary machine learning. We discuss image retrieval as a combined computer vision/human-computer interaction problem, and propose that the standardization of feature extraction is one of the main problems that digital art history faces today.

This presentation offers a side-by-side comparison of the publication processes for traditional monographs versus complex interactive digital projects. Prepared by Stanford University Press whose 6-year Mellon-funded digital publishing initiative is coming to a close in December 2023, the presentation reflects on the highly collaborative processes digital publications require.

The concept of "deep mapping," has been increasingly reflected in recent years in the theory and practice of digital humanities. In this short paper we want to present the Polish experience in this matter, including the "Atlas of Holocaust Literature - Warsaw Ghetto," project prepared by our team in 2019.

In order to get a clearer picture of the people who want to do Digital Humanities, their backgrounds, their expectations, and their contribution to the field, the huge amount of data gathered between 2009 and 2022 by the European Summer University in Digital Humanities "Culture & Technology" are being analysed. First results of this analysis will be presented at DH2023 hoping to provide more insight into this community and stimulate others to dig into their data as well so that by comparing and joining findings a clearer picture of what Digital Humanities mean to the people summer / winter schools and institutes bring to the field can be obtained.

To detect conflicts in literary texts, this short paper adapts word embedding based sentiment analysis for assigning conflict values to texts. This heuristic approach is able to output relevant verb phrases of a corpus of German novels from the Romantic period and indicate first trends in the corpus.

Graph Literary Exploration Machine (GoLEM) is a new web-based application for literary scholars. The tool allows for named entity relationship analysis, terminology mining, and topic modeling. A strong emphasis is put on the visualisation of results as graphs, time series, maps or scatter plots.

The imagined urban landscapes, structures, and environments of writer H.P. Lovecraft's Providence, RI play a central role in the development of his tales of horror, abomination, and wonder. This project repurposes the tools of digital art history and urbanism to create imaginative reconstructions of these locales across space and time.

Responding to a call to embrace "digital humanities accents" (Risam 2018) as a radical act towards postcolonial epistemologies, this short paper discusses how a team of software engineers and a humanist is developing a discursive framework to assess fairness in AI for multilingual speech recognition technologies developed for Singlish speakers.

The main aim of the presentation is to present a methodology for the digital elaboration of the maps of voivodeships and the parish sketches by Karol Perthées to create a map of pre-partition Poland in the last years of its existence.

In this presentation we analyze mommy blogs from India as symptomatic of the limitations, potential, and revolutionary possibilities of Digital Maternal Cultures, which demonstrate "the material transformations that the electronic age has brought about" (Raley 2004), as evoked in the CFP for DH2023.

Crowdsourcing in cultural heritage is rich in opportunities for collaborative, interdisciplinary research and practice. This presentation celebrates and calls for input and expansion of a White Paper that sets out current challenges and opportunities, and provides recommendations for the future of crowdsourcing in cultural heritage and the digital humanities.

Researchers from Temple University and Emory University will present the results of an ongoing collaboration using topic modeling and word2vec to explore the eco-poetics and eco-politics of a digitized 20th century speculative fiction corpus

The short paper will discuss the data that was generated during the editing of the records of the Imperial Diet of 1576. In a case study we will use data from our manuscript database and from the edited texts to analyse different dates and events mentioned in the records.

RDF-star is the technology best suited for the creation of LOD- based editions of metadata-oriented documents such as travel jour- nals. Respectively, SPARQL-star is a powerful tool to query and analyze knowledge graphs with respect to the stored metadata in- formation for triples. We developed an RDF-star-based ontology for travel journals; as a prototype, we have used Jacob Bernoulli’s travel journal Reisbüchlein.

Establishing and operating research infrastructures designed for long-term use is a challenge. This holds especially true in small to medium scale institutes carrying out short-term projects. In our presentation, we would like to describe our approach to building an infrastructure for collecting and linking local cultural heritage data in Saxony.

The research builds on our earlier work on digital storytelling and how that has been used as part of the Shanghai Memory Project to give a voice to those omitted and to democratise the historical record. In this context we explore the interconnected relationships between language, memory, and ideology.

This project builds upon the work by German libraries to convert all 65,658 pages of the 536 Messkataloge (the printed "book catalogs" created for the Frankfurt and Leipzig book fairs from 1594 to 1860) from images to machine-readable plaintext, resulting in the first digital database of the Messkataloge.

This research in progress studies how human characters are represented along the lines of age, race, class and gender in the illustrations of historical Dutch-language children's literature (1800-1940).

The short presentation introduces the semanticlayertools software package which supports the study of the evolution of scientific fields using network-related methods. An application for the field of astrophysics is presented together with visualization strategies for the emergence of related research fields and the role of specific institutions in thematic clusters.

This study teases out gender-specific linguistic features in fiction writing by carrying out a stylometric analysis of 81 Spanish novels written between 1840 and 1919.

We present the development of a richly annotated corpus of historical proceedings of the Carniolan Regional Assembly, which was the highest legislative body of the autonomy of the Carniola Herzogtum of the Habsburg Empire. We focus on the procedure used to convert the OCRed scans into Parla-CLARIN TEI encoded documents.

This paper sets out to highlight and address the challenges in working with large audiovisual archives such as the Radio Télévision Suisse collection. The goal of this research is to augment the metadata through Natural Language Processing methods to facilitate access to the archive for the larger public.

The current study investigates characters' words in the oldest extant Japanese novel The Tale of Genji, which was written in the 11th century during the Heian period (794-1192), by utilizing correspondence analysis.

This study presents a processing pipeline to cluster premodern non-standardised Arabic person names for different catalogue and repositories. We normalised the names to reduce their heterogeneity, built the similarity graph, employed clustering to group similar and related names, and used a user interface to confirm or correct the resulting clusters.

The aim of our research is to artificially generate fake historical manuscripts using GAN. At this stage, these experiments pursue two objectives: evaluating feasibility of generating realistic fake manuscripts under certain conditions of layout, script, or date, and creating artificial data to augment HTR training. Examples are taken from Classical Armenian and Old French.

We present Macchine per leggere project, a collaboration between Department of Literary, Philosophical and Art History Studies of the University of Rome "Tor Vergata" and the MiC Center for Books and Reading. The aim of the project is the creation of a digital environment (desktop and mobile) that introduces secondary school students to the knowledge and use of computational text analysis techniques, proposed here as a cue for approaching the reading of classics of Italian literature.

The Russia-Ukraine war became an impetus for the creation of many objects of folk and professional art. There are street art, memes, fine arts, poetry, music, etc. The goal of the research is development of knowledge representation models of this objects, as well as collecting and analysis of the collection.

The improvement of the automatic transcription of manuscripts relies on an easier access to training data of good quality (ground truth). HTR-United offers a solution to find and document such datasets, potentially creating a common. We present the set-up of this ecosystem and its main outcomes.

SnECB is an online bibliographical resource on the whole of scholarly sources concerning the old Icelandic Snorra Edda (1220). The database is created through a crowdsourced Zotero public library; data and metadata are exported in a customized TEI file, which is displayed and searched through a front-ent TEI publisher application.

We will present challenges for a digital edition of an 18th-century gazetteer with 18000 entries on places in the Americas. Challenges range from OCR via applying TEI (dictionary module), orthographic variance, homonym disambiguation and coverage in "matching resources", to the extensive use of relative terminology for places in the prose.

Texas A&M University's Center of Digital Humanities Research (CoDHR) published the New Variorum Shakespeare (NVS) open-access in digital form, beginning with two editions, The Winter's Tale and A Midsummer Night's Dream in 2021, with plans to move forward with new editors who are under contract to create editions digitally in Corpora, and backward to eventually include all the volumes in the series, beginning with the first NVS Edition of Romeo and Juliet (1871). The CoDHR team has designed this project with three main goals: 1) to teach students and early career researchers the concepts behind variorum editing through interface design as well as tutorials; 2) to enable searching across and within volumes and variants using Modern English and major Act-Scene-Line numbers, returning not only exportable lists, text, and bibliographical citations, but also visualizations demonstrating everything from when characters speak in plays to the evolution of variant histories; and, in the final phase of the project, 3) to be interoperable with, and allow access to, other major Shakespeare digital resources including bibliographies of criticism, digital copies of editions published since Shakespeare's time, images, and videos. Following the practice of state-of-the-art digital humanities projects, we aim to render Shakespeare's texts and international criticism available world-wide.[1] To provide a little background, "The term variorum alludes to the Latin phrase editio cum notis variorum, that is, 'an edition with the notes of the various [editors and commentators],' a phrase indicating the chief purpose of a variorum edition: namely, to collect what has been written by various commentators, critics, and editors."[2] A Shakespeare variorum sets several editions of a play side by side in order to track sentence-, word-, and character-level changes. Each NVS volume comprises hundreds of pages, collates several editions, and takes editors decades--and very often a lifetime--to complete. These print editions also tend to be difficult to navigate for anyone who isn't a Shakespeare scholar or familiar with variorums. CoDHR's Digital NVS, however, organizes and presents variorums through an interface that is accessible, intuitive, and comprehensive. Unlike the print editions, this online application showcases all of the core components of a variorum at a glance: play text, commentary notes, and textual notes, making the content easier to understand. Additionally, new NVS editors will soon be able to use the web application's backend called Corpora to build editions, start to finish, using collation tools that will enable them to complete their work more quickly and accurately. What used to take editors years to complete can now be created through a single web application that allows for remote access and virtual collaboration. Having launched the site in Beta with the publication of The Winter's Tale and A Midsummer Night's Dream in July 2021, we are currently working on the next phases of the project as we move out of Beta: improving accessibility and usability; digitizing all NVS print editions from Romeo and Juliet (1871) to King Lear (2020); and assisting editors with creating born-digital NVS editions, using Corpora. We are also working on developing "a suite of research tools including an advanced search across multiple editions; visualizations of search results (such as a character-based frequency plot which will convey what characters most frequently use search terms in their speeches); the ability to sort and filter play lines, textual notes, and commentary in tabular format; and the ability to download raw versions of the data as JSON or TEI. We also hope to integrate external sources of information about a given play line or bibliographic entry."[3] It is our hope that the Digital NVS, which presents variorums in a new, more accessible way, will be an excellent resource not only for future NVS editors, but for readers, scholars, educators, and performers. Bibliography Burdick, Anne and Tarpley, Bryan. "NVS Tools." New Variorum Shakespeare, Beta Release. July 2021. https://newvariorumshakespeare.org/tools/. Accessed Dec. 5, 2021 Burdick, Anne, Torabi, Katayoun, Bryan Tarpley, and Mandell, Laura. "Using Data and Design to Bring the New Variorum Shakespeare Online." The Routledge Handbook of Shakespeare and Interface. Edited by Paul Budra and Clifford Werier, 2022. Knowles, Richard. Shakespeare Variorum Handbook: A Manual of Editorial Practice. 2nd ed. Committee on the New Variorum Edition of Shakespeare of the Modern Language Association of America, 2003. Torabi, Katayoun. "How to Digital NVS." New Variorum Shakespeare, Beta Release. July 2021 https://newvariorumshakespeare.org/how-to/.nd. Accessed Dec. 5, 2021 Werstine, Paul. "NVS History." New Variorum Shakespeare, Beta Release. July 2021. https://newvariorumshakespeare.org/about/. Accessed Dec. 5, 2021 [1] Information about the Digital NVS (overview of the project, goals, uses, etc.) can be found in "Using Data and Design to Bring the New Variorum Shakespeare Online" in The Routledge Handbook of Shakespeare and Interface, 2022. [2] Information about the meaning of variorum and the history of the NVS can be found in Paul Werstine's "NVS History," New Variorum Shakespeare, Beta Release. July 2021. [3] Anne Burdick and Bryan Tarpley, "NVS Tools," New Variorum Shakespeare, Beta Release. July 2021; and Burdick, et al., "Using Data and Design to Bring the New Variorum Shakespeare Online" in The Routledge Handbook of Shakespeare and Interface. Eds. Paul Budra and Clifford Werier, 2022.

The contribution highlights the importance of developing DH methods for large-scale investigation of depicted materials and surface qualities in medieval painting. Preliminary findings from our project, which is developing methods for AI-based recognition of materials in digitized paintings and evaluating their application to address art historical research questions, are presented.

We propose HIMIKO (Historical Micro Knowledge and Ontology) as a package containing a model and editing system for collecting pieces of historical knowledge scattered in the documents. The model enables help historians to construct document-based Historical Linked Data and brings a new perspective on the digital analysis of historical data.

This paper reports on research into the potential expansion of non-academic use for computational literary studies infrastructure. It relates findings regarding usage patterns for fictional narratives, as well as the results of interviews with representatives of relevant fields on their experience of using literary and computational methods and data.

Paleographical features can be extracted from digitized images by applying deep machine learning. This paper presents an unsupervised deep-learning method for determining script types and modes for medieval Hebrew manuscripts. The results would be presented vs. the previously published results of supervised deep learning for the same datasets.

During the pandemic, the idea that digital adoption would revolutionise audience engagement became widespread in the museum sector. This paper explores whether this is true, utilising tools and debates from the digital humanities to analyse the online content and audiences of a representative sample of 315 museums in the UK.

The scarcity of machine-readable corpora for Egyptian hieroglyphic texts hinders the digital study of ancient Egyptian texts. Computer-assisted transliteration of the texts will speed up producing such texts and the first step is to find word-boundaries. We present a method for the automatic segmentation of hieroglyphic texts.

This project aims to re-examine the Vernacular Language Movement and Chinese Translation Literature by applying topic modeling to a preface collection. Our corpus includes 2314 prefaces of translated works in Chinese from 1894 to 1938. We can observe three different stages in the VLM.

This study explores cultural exchanges of organ building between Central and South-Eastern Europe using multimodal analyses and interactive visualizations. Findings reveal specific trends of organ characteristics and diverse exchanges across the regions and timespans. Future research aims to further examine the findings through audiovisual digitization, acoustical analyses and virtualization approaches.

This contribution deals with Dynamic Topic Modelling of Austrian historical newspapers (found in the ANNO Corpus), focusing on the time period from the 18th to the mid-20th Century. The aim of the investigation is to uncover the development of the topic surrounding migration from and via Southeast Europe to Austria.

This presentation describes the development and analysis of a corpus of the early Irish-language novel: one that strengthens existing resources for the comparative computational analysis of Europe's multilingual literary history and clears a path for dedicated computational analysis of the early novel tradition in Irish.

We propose to leverage public vulnerability scanners to examine the servers where online digital projects are hosted and list their common vulnerabilities. Provided in an anonymized, aggregated fashion, this assessment will shed light on our hypothesis: cyber threats are a significant factor in the degradation of online projects.

This paper explores representations of holiness in a collection of 63.000 lantern slides. Using the multimodal model CLIP, it sheds light on the transition between the real and the imaginary, the holy and the profane. It demonstrates how CLIP can help scholars deal with complex visual concepts such as holiness.

This paper applies a sound studies approach to a literary studies use case: Using a mixed-methods approach, we investigate whether there is a correlation between the description of sounds and suspenseful text passages in a 19th-century English novel corpus. Our hypothesis is that suspenseful passages contain more detailed descriptions of the story's soundscape than unsuspenseful passages.

Artificial Intelligence (AI) technologies such as Deep Learning and Transfer Learning are rapidly advancing text and image classification in many disciplines (e.g., Lucas et al. 2022, Huang et al. 2022, Kumar et al. 2020). With the progressing digitisation of cultural heritage, AI increasingly finds applications in arts and humanities disciplines as well (Cetinic et al. 2019, Saleh / Elgammal 2016). It is evident that AI technologies open new possibilities for processing and analysing large, heterogeneous historical data corpora in a semi-automated way (Im et al. 2022). But do they have the potential to “overturn intellectual legacies” and to revolutionise the field? In the project Ottoman Nature in Travelogues (ONiT 2023) we strive to leverage the application of AI technologies to historical research by developing an interdisciplinary methodological framework for the semi-automated, AI-driven analysis of text–image relations. Our object of study is a large multilingual corpus of travelogues printed 1501–1850 (Rörden et al. 2020) that contains representations of Ottoman “nature” (i.e., flora, fauna, landscapes) both in text and image. This short presentation focuses on our first results achieved for improving image classification of historical prints (i.e., mostly woodcuts, engravings, and etchings). We present our approach to robustly identify and classify key image types in our corpus and discuss challenges and lessons learned during this process. &nbsp

Traditionally, two approaches have developed in dialectology that focus on researching lexical variation: on the one hand, dialect dictionaries, whose task is to document dialect vocabulary; on the other hand, dialect atlases, whose focus is on linguistic-geographical variation in dialect vocabulary. The Wörterbuch der bairischen Mundarten in Österreich (WBÖ), a long-term project of the Austrian Academy of Sciences (ÖAW), is an undertaking of the first type. Until 2015, the first five volumes (A–Ezzes) were published as printed works; since 2018, the Lexikalisches Informationssystem Österreich/Lexical Information System Austria (LIÖ) has served as the publication platform for the articles starting with the letter F. LIÖ is a cooperation project between the Austrian Centre for Digital Humanities and Cultural Heritage (ACDH-CH) of the ÖAW and the FWF Special Research Programme German in Austria (DiÖ) of the University of Vienna. At the moment, the information system only contains content related to the WBÖ project itself. As a lexically oriented platform, however, its content is to be expanded in the coming years, i.e. lexical material from other corpora is also to be made accessible via it. A first expansion of LIÖ will take place in October 2022 with the pilot study DWA Austria, a cooperation project between the Research Center Deutscher Sprachatlas (DSA) of the Philipps University of Marburg and the Department of Linguistics of the ACDH-CH. Within the framework of this cooperation, the entire Austrian surveys of the Deutscher Wortatlas/German Word Atlas (DWA) are to be digitally processed for the first time. Last but not least, the project will serve to expand the paradigm for researching lexical variation described above to include a dialect-geographical component. In this collaboration, the Marburg team will provide the high-resolution scans of the DWA surveys. The team in Vienna is building a model for automatic transliteration on this basis with the help of the Transkribus software, which in turn can be used by the DSA team for the German DWA sheets. The surveys for the DWA were conducted indirectly between 1939 and 1942 and are still among the most comprehensive surveys of the 20th century. Questionnaires were sent to a total of about 50,000 places, 3,700 of which are in the territory of the Republic of Austria. Since previous automatic text recognition methods (i.e. OCR) have only provided insufficient results, the questionnaires, which were mostly handwritten, had to be laboriously transliterated manually. The recent use of artificial intelligence (AI) has been showing promising results for several years. With the help of the Transkribus platform, the Austrian DWA questionnaires are now being captured and made usable as part of a pilot study. Unlike conventional OCR products, Transkribus uses artificial intelligence (AI) to convert the written content of digital records into searchable text. The scans of the DWA sheets were made by the DSA and made available to the ACDH-CH. There, in a first step, they manually transliterate a set of scanned sheets. This step can be supported by already existing models that are, for example, tailored to German Kurrent script. Based on these correct transliterations and the corresponding scans, a model can now be built with the help of Deep Learning that is tailored to the document type. The layout of the text is also taken into account. First models on the minimum amount of training material still showed a rather high error rate (CER Val. 9.4) and have been continuously improved since then. The pilot study DWA Austria shows how data sets that could previously only be used to a limited extent due to time-consuming and costly efforts can now be opened up by AI-supported methods to an extent that would not have been possible with conventional methods. In particular, the example shows how the respective expertise of the individual project partners can bring about a significant increase in efficiency and thus once again illustrates the potential for synergies that result from cooperation. Bibliography: DiÖ = SFB German in Austria. URL: https://www.dioe.at/en/ [2023-05-01] DSA = Forschungszentrum Deutscher Sprachatlas. URL: https://www.uni-marburg.de/en/fb09/dsa [2023-05-01] DWA = Mitzka, Walther & Ludwig Erich Schmitt. 1951 – 1980. Deutscher Wortatlas. Gießen: Schmitz LiÖ = Lexikalisches Informationssystem Österreich. URL: https://lioe.dioe.at/ [2023-05-01] Transkribus. AI powered Handwritten Text Recognition. URL: https://readcoop.eu/transkribus/ [2023-05-01] WBÖ = Österreichischen Akademie der Wissenschaften. 1970 – 2015. Wörterbuch der bairischen Mundarten in Österreich. Wien: Verlag der Österreichischen Akademie der Wissenschaften.

Replication studies are generally considered an important way of checking the generalizability of research results. However, in the humanities they are still comparatively rare. We argue that data-driven studies in particular are in need of replication and demonstrate the need in a case study on German academic language.