This article presents the development of an e-learning teaching project focused on Ancient Egyptian language, initially launched as an academic experiment among Portuguese and Brazilian universities. Since 2020, the initiative has expanded into a robust network, culminating in the creation of a digital, open-access anthology of sources. The rise of Digital Humanities has introduced new research possibilities by offering specialized digital tools and methodologies that integrate into Humanities studies. This became particularly crucial during the COVID-19 pandemic of 2020, when universities were compelled to shift classes and meetings to online platforms due to physical restrictions. This transition fostered greater international collaboration and networking. The project key achievement was the production of recorded lectures on Middle Egyptian, delivered in Portuguese and made freely accessible across various platforms. It represents a groundbreaking effort in the digitization of Egyptology resources for Portuguese-speaking students, significantly improving access to academic materials in the field.

ABSTRACT Thai literary classics constitute an important medium for the interaction of Southeast Asian multicultural traditions, containing rich narrative symbols, identity construction mechanisms, and cross‐text cultural influence patterns. However, existing approaches to cross‐cultural influence analysis largely rely on manual interpretation or coarse representations, which limits their ability to capture contextual dependencies and systematically reconstruct cultural symbol systems. To address these challenges, this study proposes an automated cross‐cultural influence identification and visualization framework that integrates systemic functional linguistics with graph‐based learning. The proposed framework models culturally embedded narrative roles through a structured narrative function representation and captures influence relationships across literary texts in an interpretable manner. Experiments conducted on a newly constructed multilingual Thai literary corpus demonstrate that the proposed approach consistently outperforms representative baseline methods in cultural narrative function recognition accuracy, structural coherence, and cross‐context generalization. In particular, the framework shows clear advantages in identifying low‐frequency cultural functions and implicit symbolic expressions. Overall, this work provides a scalable computational framework for cross‐cultural narrative structure modeling and visualization in Thai literature, contributing methodological support to digital humanities research and regional literary education.

This research examines how representations of professional women in Japanese television commercials have changed over time, from 1985 to 2005. The study adopts a data-driven approach in which information about commercials is recorded and stored in a structured database. Digital humanities and statistical methods are used to identify hidden biases and obtain insights that may not be immediately noticeable through simple viewing and qualitative analysis of the commercials. The aim of this research is to identify the factors linking gender and employment and to examine how these factors shape the representation of female professionals. The analysis focuses on commercials that received the All Japan Radio & Television Commercial Confederation Award (ACC Awards). The ACC awarded commercials are chosen for their impact and availability. The commercials are first viewed and then systematically described using a structured data format. The dataset records what characters do, where they act, and how they are represented in each commercial. The resulting data are stored in a database from which samples can be extracted, based on which several statistical models are constructed. By examining the variables of these models, the relative importance of different factors can be evaluated. The analysis shows that during the 1980s foreign women had a higher probability of being represented as professionals. In this period, the variable “ethnicity” had greater weight than factors such as age. By constructing similar models for different periods, it becomes possible to observe how these patterns evolved over time. For example, during the 1990s ethnicity lost much of its influence as Japanese women increasingly appeared as professionals. However, these portrayals were still often associated with young age and were frequent when not in presence of a man. By identifying the biases underlying these representations and tracing their evolution over time, the study will provide new insights into how professional women have been portrayed in Japanese television advertising.

This special issue is devoted to exploring the complex relationship between tradition and innovation in the fields of music and performance. It seeks to examine how cultural heritage is sustained and transformed within contemporary artistic environments shaped by digitalization, globalization, and interdisciplinary exchange. In this context, artistic practices are understood not as static representations of the past, but as dynamic processes that continuously negotiate meaning, identity, and cultural continuity.The contributions gathered in this issue reflect a wide range of perspectives, including ethnomusicology, performance studies, pedagogy, cultural studies, and digital humanities. Particular attention is given to the role of technological advancements – such as digital media, virtual environments, and artificial intelligence – in reshaping musical creativity, performance practices, and modes of cultural transmission. At the same time, the issue emphasizes the importance of educational and institutional frameworks in supporting the preservation and revitalization of intangible cultural heritage.By bringing together diverse methodological approaches and cultural perspectives, this special issue aims to contribute to a deeper understanding of how sound and performance function as key mechanisms of cultural resilience. It demonstrates that, even in an era of rapid technological advancement, artistic practices remain vital spaces for negotiating meaning, fostering creativity, and preserving the richness of cultural heritage.We sincerely thank all authors for their valuable contributions and the reviewers for their insightful feedback. We also express our gratitude to the editorial team for their support in the preparation of this issue. Guest Editors: Inesh KdyrovaDoctor of Philosophy (PhD) in Arts, Associate Professor, Department of Musical Popular Art, Pavlo Chubynsky Academy of Arts, Kyiv Regional Council, Kyiv, UkraineEmail: kdirova_inesh@ujis.in.ua Dilya DuiyessinovaMaster of Art Science, Senior Lecturer, Department of Musicology and Composition,Kulyash Bayseyitova Kazakh National University of Art, Astana, Republic of Kazakhstan.Email: ddilek_22@ujis.in.ua Tetiana KrylovaSenior Lecturer, Department of Singing and Choral Conducting, Faculty of Singing and Jazz Art, R. Glier Kyiv Municipal Academy of Music, Kyiv, Ukraine.Email: maryna_kvitka@ukr.net Nataliia SulaievaDoctor of Pedagogical Sciences, Full Professor, Dean of the Faculty of Pedagogical and Art Education, Poltava V. G. Korolenko National Pedagogical University, Poltava, UkraineEmail: shchur_nat@ukr.net Artem Liakhovych Candidate of Art Criticism, Associate Professor, Department of Performing Arts No.1, Faculty of Music Arts, R. M. Glière Kyiv Municipal Academy of Music, Kyiv, Ukraine.Email: avliakhovych@ujis.in.ua Volodymyr HumeniukSenior Lecturer, Department of Humanitarian and Musical and Innovative Disciplines, R. Glier Kyiv Municipal Academy of Music, Kyiv, UkraineEmail: v_gumenyuk@ujis.in.ua

Abstract This study adopts an interdisciplinary approach encompassing historical geography, religious sociology, and digital humanities, concentrating on the Great Tea Road (GTR) and Guan Yu Cult Sites (GYCS) within a 400 km radius of Hankou. It investigates their interaction mechanisms through three dimensions: the agglomeration of GYCS, the influence of GYCS within the GTR network, and the significance of nodes in the dissemination of belief. The integrated analysis of GIS and Gephi indicates that the spatial distribution of GYCS is closely linked to dynamic GTR, exhibiting considerable regional variation, while its cross-regional dissemination mostly relies on social network-mediated practical flexibility. This study establishes a quantitative framework for studying belief dissemination through cultural route dynamics, addresses deficiencies in the interaction between material and intangible aspects within global cultural route theory, and facilitates the application of world heritage and integrated protection.

The overseas reception of classical literature through online platforms presents a critical lens for understanding cross-cultural dynamics in the digital age. This study investigates the overseas reception of English translations of Journey to the West by analyzing a corpus of 1,795 reviews from Amazon and Goodreads to examine temporal dynamics, cross-platform sentiment patterns, and topic modeling. The analysis covers four celebrated translators: Arthur Waley, Anthony C. Yu, Julia Lovell, and W.J.F. Jenner. Methodologically, we developed a hybrid sentiment lexicon by integrating a domain sentiment lexicon with AFINN, NRC, and VADER through weighted fusion, addressing the limited adaptability of general sentiment lexicons in translated literature analysis. LDA modeling was further applied to enable data-driven theme extraction. Key findings reveal a consistent year-on-year increase in review counts across all translations. Notably, despite an overall positive sentiment, significant cross-platform divergences emerge, reflecting the distinct evaluative mechanisms of digital platforms. Thematic analysis identifies three central reader concerns: translation quality, plot acceptance, and character portrayal, with plot acceptance exhibiting markedly higher negativity. Furthermore, translator-level analysis reveals performance variations across these themes. This study demonstrates how digital platforms reconfigure the valuation of literary translation, and pioneers a methodological framework for capturing the dynamic interplay between reader perception, media infrastructure, and textual mobility, offering new pathways for digital humanities research in translation studies.

ABSTRACT Bridging Solidarity is a digital map that fosters exploration of Pittsburgh’s long labor history. This project introduces audiences to fourteen strikes or strike-related conflicts across Allegheny County from the early nineteenth century to today, by combining secondary literature, newspapers, digital and physical archival material, visual media, and historic maps. Hosted in the platform HistoryPin, Bridging Solidarity promotes engagement with strikes across time and space, inspires an appreciation for local places, and highlights many diverging experiences within Pittsburgh’s labor movement. The article contextualizes this work within three historic subfields: digital humanities, place-based public labor history, and diverse local labor history. This project’s digital inception influenced its design, preservation, and writing, as informed by the insights of digital historians. Place-based history helps audiences better understand local labor history, grounding its interpretation in relevant sites that are publicly accessible and likely familiar to audiences. Additionally, this project centers marginalized people and the ambiguities of strikes past, presenting a complicated narrative that increases public awareness of how women and African Americans have influenced and experienced Pittsburgh’s history. Last, future expansions of this project will prompt further engagement with these historical subfields.

Abstract With the progressive developments in digital humanities and smart city initiatives, there is a surging demand for the digitization of historical city maps, necessitating efficient and cost-effective georeferencing technologies. Existing methods often fall short in user-friendliness for non-technical personnel, highlighting the urgent need for low-barrier, batch processing solutions. This study proposes a framework for grouping modern urban maps based on cartographical characteristics, utilizing a manually constructed external reference grid system to generate conjugate Ground Control Points (GCPs) for batch georeferencing within these groups. Experimental results indicate that for urban maps at scales between 1:5,000 and 1:20,000, this method can maintain the root mean square error (RMSE) between 25.96 m and 66.25 m, significantly lower than errors associated with existing methods based on internal feature matching. By standardizing the construction of an external reference system, this approach effectively addresses the technical challenges associated with the lack of corresponding control points in unbuilt areas of historical urban planning maps. It provides a replicable batch georeferencing approach for non-technical users, significantly enhancing the efficiency of digitizing paper map archives and their precise temporal and spatial alignment with modern Geographic Information Systems (GIS).

Granary systems formed a core institutional foundation of state governance, famine relief, and social stabilization in premodern China. Using the complete corpus of the Twenty-Six Dynastic Histories, this study employs digital humanities methods—including text preprocessing, word-frequency analysis, collocation analysis, time-series comparison, and geographic co-occurrence analysis—to examine the long-term evolution and institutional structure of three major granary types: ever-normal granaries (ChangpingCang), charitable granaries (Yicang), and community granaries (Shecang). The results reveal significant temporal and spatial variation closely associated with dynastic stability, fiscal capacity, and disaster conditions. Ever-normal granaries evolved from early formation in the Western Han to institutional consolidation in the Tang, peak expansion in the Song, and functional diversification thereafter, operating as a centralized mechanism integrating price regulation, fiscal management, and famine relief. Charitable and community granaries, by contrast, display increasingly differentiated roles, reflecting a shift toward localized and socially embedded relief in later periods. Spatial analysis further demonstrates a hierarchical deployment pattern centered on political and agrarian cores and extended through transport corridors and frontier zones. Overall, the study highlights a multilayered relief system combining state authority and social participation, offering a data-driven reinterpretation of Chinese charity and governance.

Artificial Intelligence (AI) has quickly changed the artistic production by allowing machines to produce images, music, literature, and multimedia works that mimic the work of humans with regard to creativity. The latest developments of machine learning, especially deep neural networks, Generative Adversarial Networks (GANs), and diffusion-based models, have increased what computational systems can do: creating complex artistic patterns based on massive data. Such developments have also brought up critical theoretical, legal, and philosophical issues of authorship, originality, and creative ownership on AI-generated artworks. This paper looks at the technical underlying principals of AI generated art and discusses the processes by which algorithms discover stylistic tropes, generate visual shapes and respond to human intervention in user prompts and parameter adjustment. The paper also discusses the changing argument over authorship in AI-generated art, which takes into account programmers, dataset curators, artists, and end users advantages in the creative pipeline. Moral and cultural considerations are also outlined, such as the issues concerning intellectual property, cultural biasness in training data, and the possible repercussion to the conventional artistic careers. With the combination of the views of computational creativity, the digital humanities and the cultural policy, the study points to the transformative paradigm of human-intelligent systems collaborativity of creativity.

This paper explores the intersection of graphic novels and spatial humanities by applying Geographic Information Systems (GIS) to map migratory routes and urban imaginaries in contemporary graphic narratives. While graphic novels have long served as powerful vehicles for depicting displacement, exile, and the lived experience of cities, traditional literary analysis often overlooks the precise spatial dynamics embedded in their panel sequences, gutters, and visual layouts. Drawing on tools from the spatial humanities, I georeference key locations, trace character journeys, and reconstruct imagined urban environments in selected works, including Marjane Satrapi's Persepolis, Shaun Tan's The Arrival, and Art Spiegelman's Maus. By converting narrative panels into layered GIS datasets incorporating base maps, migration trajectories, and qualitative annotations of space, I reveal how these texts construct "migratory cartographies" that blend real-world geography with subjective, affective urban imaginaries. The analysis demonstrates that graphic novels do not merely represent migration; they actively perform spatial storytelling through sequential art, where the movement between panels mirrors the fragmented, non-linear nature of displaced lives. Interactive StoryMaps created for this project further allow readers to engage with these routes dynamically, bridging the gap between close reading and geospatial visualization. Ultimately, this study argues that GIS-based methods enrich our understanding of graphic novels as multimodal spatial texts and offer new possibilities for digital humanities scholarship in literature and cultural geography. By treating comics panels as geospatial data, we can uncover patterns of belonging, alienation, and mobility that remain hidden in conventional textual analysis.

This study presents a systematic bibliometric analysis of research on multilingual repertoires and linguistic justice in education. Drawing on 1,552 publications from the Web of Science Core Collection (1992-2026), we employ computational methods including co-authorship network analysis, keyword co-occurrence mapping, topic modelling, and temporal trend analysis to map the intellectual structure of this interdisciplinary field. Our analysis reveals seven distinct thematic clusters, with translanguaging-focused research dominating at a 34% prevalence, followed by policy-oriented scholarship at 22%. We identify key collaborative networks centred in Europe, North America, and South Africa, and trace the evolution of central concepts over the past three decades. Findings indicate exponential field growth (28.9% annually), a persistent gap between policy-oriented and practice-oriented research streams, and emerging attention to social justice frameworks (a 3,100% keyword growth). We identify raciolinguistic perspectives and epistemic justice as rapidly emerging theoretical orientations, while noting the continued centrality of foundational scholars, including García, Hornberger, and Cummins, in the field's intellectual foundations. This study contributes to the field by providing the most comprehensive mapping to date of research connecting multilingual repertoires, linguistic justice, and education, while demonstrating the utility of digital humanities methods for understanding complex interdisciplinary literatures.

ABSTRACT Digital Humanities (DH) and Electronic Literature (E-Lit) are emerging yet underrepresented fields in Indian higher education. In many minority-world institutional contexts, E-Lit has developed through dedicated labs, courses, publishing platforms and professional networks. In India, it more often develops within DH initiatives shaped by curricular pathways and infrastructure constraints, reflecting a wider academic gap where digital literary studies lack standalone curricular visibility and institutional support. India's National Education Policy (NEP) 2020 highlights the need for digital literacy and interdisciplinary engagement, creating openings for DH and E-Lit in higher education. This study examines their trajectory in India, emphasising interdependence, challenges, and potential. Using Indian Postcolonial Digital Humanities (IPDH) as a framework, it explores how these fields reclaim marginalised narratives and promote culturally embedded digital practices rooted in India's multilingual literary traditions. The concept of techno-indigeneity is introduced to develop globally relevant yet locally grounded methodologies. Aligned with the Digital India Initiative, this study draws on participant data from a Government of India-sponsored Global Initiative of Academic Networks (GIAN) course on DH and E-Lit, identifying gaps and future directions, advocating curriculum innovation, interdisciplinary collaboration and policy interventions to address linguistic diversity, digital infrastructure and India's cultural and literary traditions.

Artificial Intelligence (AI) has rapidly become a transformative force in higher education, influencing pedagogical approaches, assessment practices, and student engagement across disciplines. In the humanities—and particularly in English literature—AI introduces innovative possibilities for textual analysis, personalized learning, creative interpretation, and academic research support. Tools based on machine learning, natural language processing, and generative AI allow learners to explore literary texts more deeply while enabling teachers to design adaptive learning environments and streamline evaluation processes. However, the integration of AI also raises concerns regarding academic integrity, technological dependence, ethical use, and the preservation of humanistic interpretative practices. This paper examines the role of AI in the teaching and learning of English literature, presenting a comprehensive discussion of its pedagogical applications, benefits, challenges, and future implications. Drawing on recent research (2022–2025) in artificial intelligence in education and digital humanities, the study argues that AI can enhance literary pedagogy when used responsibly and critically. The paper concludes that a balanced integration of AI— combining technological innovation with human interpretative insight—can enrich literary education and foster analytical, creative, and inclusive learning environments.

Scholars increasingly acknowledge the influence of African musical traditions on U.S. hip-hop, but there is still no clear, integrated account of how rhythm, sampling, and cultural negotiation work together to shape the genre. This narrative review addresses that gap by examining African musical elements as core organizing principles within hip-hop and tracing how they continue to operate in digital and algorithm-driven environments. Drawing on scholarship from musicology, cultural studies, ethnomusicology, and digital humanities, which uses computational and digital methods to analyze cultural and musical patterns, the review brings these conversations into dialogue rather than treating them in isolation. It highlights three connected dynamics: the blending of African rhythmic frameworks with Western musical forms, sampling as a technologically updated expression of African American aesthetic practice, and the role of both in shaping identity and social critique. The analysis shows that African-derived rhythms remain structurally central to hip-hop, that sampling acts as a form of cultural memory in the digital age, and that tensions between continuity and global fusion persist within platform-based music economies. This review argues for understanding hip-hop not merely as a product of African influence but as an ongoing site where diasporic musical logic adapts to and sometimes resists technologically mediated cultural systems. Keywords: Hip-Hop, African Musical Elements, Rhythmic Fusion, Sampling, Cultural Negotiation, African Diaspora

This paper describes the first comparative multimodal dataset focusing on climate change communication across two major social video platforms prevalent in different parts of the world: BiliBili (China) and YouTube (International platform but here we focus on the audience based in United Kingdom). These platforms were selected because their long-form video formats lend themselves particularly well to narrative analysis, offering advantages over other forms of social media. The dataset comprises video cover images, metadata, engagement statistics, and textual content (titles, descriptions, and transcripts) for 2,798 videos (2,092 from BiliBili and 706 from YouTube), ranging from May 2007 to April 2025. All data are hosted on Mendeley Data to support Open Access and reuse. The dataset offers substantial potential for researchers in environmental communication, digital humanities, and computational social science, enabling cross-cultural analysis of public discourse and storytelling practices related to the climate crisis.

The influence of Artificial Intelligence (AI) on almost every aspect of the world, including creativity, has increased in recent years. AI has started to change how people write, distribute, and consume their creative works. Digital textuality - or text that is produced in digital formats with the assistance of digital technologies such as software applications, algorithms, and databases - has become an emerging concept that describes how creative works will now exist within a global context. Miller's book, "The Artist in the Machine: The World of AI-Powered Creativity," provides an early look at this concept, and how the creative process is evolving into a collaborative process between humans and machines. In addition to Miller's work, this paper investigates digital textuality in relation to authorship, originality, and meaning, as they apply to contemporary creative practices. Digital texts are not restricted to the same model of fixed, one-time prints as traditional printed works; instead, digital texts can be changed, modified, and created collaboratively by both human and machine creativity. In reviewing Miller's work, as well as perspectives from digital humanities and literary theory, this paper argues that AI's influence on creativity creates a new paradigm of cultural production, where the creativity of humans and computers interact to create new meanings. The rise of digital textuality through AI will allow creative practitioners to expand their way of thinking and to create more innovative forms of expressions, interpretations, and critical thought, rather than threatening literature.

This article aims to evaluate the Scientiae 2025: Istanbul conference in terms of its content, objectives, scope, and academic outcomes. The conference provided a platform for intensive discussion on material culture, translation traditions, scientific instruments, astronomy, medicine, textual circulation, pedagogical methods, and digital humanities within the framework of early modern knowledge production. The meeting, centred on the connections between the Ottoman world and European scientific traditions, expanded the geographical boundaries of early modern knowledge history and drew scholarly attention to the history of science research in Türkiye. This article examines the thematic structure of the conference on a day-by-day basis, evaluates the studies in the multiple fields of early modern knowledge production, and discusses the academic contribution of Scientiae Conference.

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This article describes a case study in which a small metadata team at Illinois State University Milner Library produced a digital humanities project supporting Collections as Data (CAD) and linked data principles. Despite initial sparse descriptive content, the team recognized great potential for experimentation in a significant World War I archival collection to highlight lesser-known stories, including those of the Pioneer Infantry, women, and noncombatants. Discussion focuses on the strategic approaches in creating granular but scalable metadata for the large digital collection, and application of the data with various tools such as ArcGIS and Wikidata to construct interactive data visualizations, mapping, and digital storytelling for the Illinois State Normal University World War I Service Records collection. The article argues that even institutions without a dedicated CAD initiative can incrementally implement principles from the CAD model to add value to their digital collections. The authors first presented the project in 2024 at the Digital Library Federation Forum and the American Library Association Core Forum.