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Table of Content

    28 March 2024, Volume 4 Issue 1
    Symbiosis of Digital and Physical:Envisioning the Future of Digital Humanities——An Overview of the 2023 China Digital Humanities Annual Conference
    He Qiaoyin, Wang Xiaoguang
    2024, 4(1):  3-17. 
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    The 5th China Digital Humanities Annual Conference(CDH2023), co-hosted by the School of Information Management of Wuhan University and the Digital Humanities Professional Committee of the China Society of Indexers, and organized by the School of Information Management of Wuhan University, the Intelligent Computing Laboratory for Cultural Heritage of Wuhan University, the Big Data Research Institute of Wuhan University, and the Center for Information Resource Research of Wuhan University, was held on 9-10 December 2023 in Guanggu Wuhan. The conference, themed “Symbiosis of Digital and Physical: Envisioning the Future of Digital Humanities”, featured ten thematic subforums and garnered extensive attention from both domestic and international higher education institutions and industry sectors. By classifying and reviewing the papers and projects submitted to the conference, as well as analyzing and summarizing the selection of related technology paths and presentation forms, the article aims to explore the current focus and progress of digital humanities research in China, discuss the challenges and coping strategies faced by digital humanities research in China, and forecast future research trends.

    Explanation in Artificial Intelligence: Insights from the Social Sciences
    Tim Miller, Zhang Jing
    2024, 4(1):  18-41. 
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    There has been a recent resurgence in the area of explainable artificial intelligence as researchers and practitioners seek to provide more transparency to their algorithms. Much of this research is focused on explicitly explaining decisions or actions to a human observer, and it should not be controversial to say that looking at how humans explain to each other can serve as a useful starting point for explanation in artificial intelligence. However, it is fair to say that most work in explainable artificial intelligence uses only the researchers’ intuition of what constitutes a ‘good’ explanation. There exist vast and valuable bodies of research in philosophy, psychology, and cognitive science of how people define, generate, select, evaluate, and present explanations, which argues that people employ certain cognitive biases and social expectations to the explanation process. This paper argues that the field of explainable artificial intelligence can build on this existing research, and reviews relevant papers from philosophy, cognitive psychology/science, and social psychology, which study these topics. lt draws out some important findings, and discusses ways that these can be in-fused with work on explainable artificial intelligence.

    The Formation of Historical Memory: The Interaction between Brain Memory and Empathic Neural Network—— A Study at the Intersection of History and Brain Science

    You Shujun, Shen Ting, Zhang Luyue, Tang Wenxin, Lai Xinyi
    2024, 4(1):  42-57. 
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    Memory is the core of historical research, and due to differences in subjects, it can be divided into individual historical memory, group historical memory, and cultural and historical memory between groups. The “empathy” function of the brain can trigger the emotion of "empathy" and connect the three memories. This study conducted experiments on subjects with different educational backgrounds, genders, and historical knowledge levels, and used fMRI technology to observe the brain responses of subjects when viewing war pictures, revealing the advanced cognitive function network, visual information processing network, and negativity. Changes in activation levels of emotional brain regions. When the subjects watched the Anti-Japanese War picture group, the activation level of the core area and regulatory area in the brain responsible for “empathy” increased significantly, directly mobilizing the “historical memory” of the brain and highlighting the importance of historical education——strengthening the connection of cultural memories between groups thus strengthens national identity and patriotism. In addition, there are significant differences in the brain activation levels of subjects with different genders and education levels. The brains of women with higher levels of education show the most active “empathy” level, and they are more able to show “sympathy with the same enemy” attitude. Research not only demonstrates the importance of individual differences in perceiving historical events, but also proves the role of historical memory in maintaining social consensus and cohesion of groups.

    An Investigation of Literary Translation Style Through ML Method: A Case Study of Tess of D’ Urberville

    Kong Delu
    2024, 4(1):  58-73. 
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    This paper applies classification and clustering methods in machine learning studies, builds a parallel corpus, and examines the translation styles of the three versions of Hardy's masterpiece Tess of the D'Urberville. From a total of 68 features,15 significant ones are selected and quantitatively synthesized with examples for detailed explanation. The results show that these salient features can effectively distinguish the stylistic differences among the three translations, with both classifying and clustering experiments achieving an average accuracy rate of about 97%. The study found that at the document-level, each translation shows different style features at the vocabulary, syntax, and discourse aspects; in terms of the keyword level, the frequency differences of certain keywords also present the translator's personal preferences. The article provides data support and fine-grained analysis for previous qualitative research, while also proposing some corrective conclusions, such as the higher lexical density, extremely lower proportion of passive bei sentence, and similar number of idioms in Zhang's translation compared to the others. Eventually we attempt to provide some improvements and supplements to the research methodology in translation style and translator's style studies.

    Sound Design in the Construction of Immersive Digital Narratives——Taking Song Qingling and China Welfare Institute's Related Archive as an Example

    Wang Meixian, Cheng Chen, Chen Tao, Wang Xinyu, Lin Jiyuan
    2024, 4(1):  74-85. 
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    Immersive digital narrative of archival resources accelerates the three-dimensionalization and concreteness of archival memory, realizing the evolution from physical space to memory space. This study reviews the current status of the development and utilization of archival resources from the perspective of digital humanities, analyzes the limitations of the current construction of immersive digital narratives of archival resources, and demonstrates the feasibility of immersive narrative paths based on sophisticated sound design in the development and utilization of archival resources. Taking the relevant archives of Soong Ching Ling and the China Welfare Institute as an example, we synesthetically construct an audio-visual archival immersive narrative method based on multiple state-of-the-art technologies, such as VR, Meta Human and Mockingbird. It verifies the possibility of multi-modal cross-fertilization of music and image resources. By combining the virtual exhibition hall with panoramic views and lossless sound effects, archival resources and image resources can be extended from a flat space to an infinite three-dimensional space.

    Close-and Distant-Reading Modernism: Network Analysis, Text Mining, and Teaching the Little Review

    Jeffrey Drouin, Trans.Wang Jiang
    2024, 4(1):  86-104. 
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    The digital humanities tends either to distant-read enormous data sets or to microanalyze the linguistic features of single works. “Big data” projects use software to visualize massive data sets of publishing information containing millions of volumes, revealing historic patterns that would be unobtainable by scholars. The main weakness of bigdata methodologies is their inability to read the works. The microscopic approach of text mining presents similar benefits and drawbacks. This article finds a middle ground by using these two techniques to read the September 1918 Little Review, examining the combined use of human markup and automated statistical techniques.

    Exploration and Insights into Digitalization of Japanese Theater

    Gao Huijing, Zong Zupan
    2024, 4(1):  105-115. 
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    The Japanese performing arts sector faced significant challenges during the COVID-19 pandemic, prompting a series of positive explorations and transformations into digital realms. Presently, digital explorations in Japanese theater primarily encompass three types: “personal cloud terminals” “theater×cinema” and “virtual theaters”, fostering new models such as online performances and hybrid immersive theater that transcend traditional theater spaces. The development of digital performing arts in Japan is facilitated by cultural policy support and the establishment of digital archives, aiming to enhance audience sensory experiences through innovative performance forms and immersive technologies, while cultivating a new generation of audiences. The core of Japanese theatrical digital transformation lies in enriching sensory experiences within virtual spaces, where digital performing arts no longer serve as mere substitutes for live performances but emerge as entirely new forms of entertainment.

    On the Ethics of Knowledge Organization from the Perspective of Digital Culture

    Jia Junzhi, Liu Siqi
    2024, 4(1):  116-128. 
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    It aims to explore knowledge organization methods and ethical norms that are in line with the development of digital culture, and to provide support for the healthy development of the ecology in the field of digital culture. On the basis of defining the concepts of digital culture, knowledge organization and knowledge organization ethics, this study explores the relationship among the three. It is found that knowledge organization is revitalized in the digital transformation of culture as a key element linking digital culture and public communication and a lens for mapping social reality, while ethics is a necessary means to judge and test the fairness of knowledge organization in the perspective of digital culture. The ethical issues of knowledge organization under the vision of digital culture include the restriction of access to cultural resources and selection bias, implicit bias in the representation and expression of knowledge, the values and decision-making bias of practitioners of knowledge organization, the user's bias in knowledge organization and sharing in the digital culture scenario, and the filtering and bias of knowledge triggered by artificial intelligence technology. In the future, it is of far-reaching significance to rationally use digital technologies and promote the construction of knowledge organization systems with cross-cultural perspectives.