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20 July 2025, Volume 45 Issue 03
    

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  • Building the Intellectual Scholarship Infrastructures for Philosophy and Social Science Research in the Age of AI
    Library & Information. 2025, 45(03): 1-12. DOI:10.11968/tsyqb.1003-6938.2025028
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    The rapid advancement of intelligent and digital technologies fundamentally transforms knowledge production and drives paradigm and methodological innovations in the philosophical and social sciences. Academic research infrastructure is shifting from traditional literature-based models toward intelligent computing-oriented systems, bringing increased demands for smart data resources, computational tools and methods, and the adoption of open science principles. Data- and AI-driven digital humanities laboratories are emerging as key venues for interdisciplinary collaboration between the social sciences and advanced technologies. Building new paradigms for intelligent and digital experimentation requires innovative methodologies, scientific instruments, and digital platforms, whose continued development will enhance the scope and depth of research in the social sciences and humanities in the digital-intelligence era.
  • AI-Driven Paradigm Elevation in the Humanities and Social Sciences: From Tool Dependency to Knowledge Symbiosis
    Library & Information. 2025, 45(03): 13-25. DOI:10.11968/tsyqb.1003-6938.2025029
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    Against the macro-background of the accelerating convergence of the "Fourth Paradigm" (data-intensive science) and the "Fifth Paradigm" (AI-driven science), the data-intelligence scientific paradigm, with the in-depth synergy of data and intelligence at its core, is gradually becoming an important trend and key feature in the evolution of contemporary scientific research paradigms. Artificial Intelligence (AI) has transcended its role as a mere auxiliary tool for enhancing research efficiency and is increasingly becoming an indispensable participant and collaborator in the knowledge production process. This paper begins by analyzing the current stage of AI's instrumental application in the Social Sciences and Humanities (SSH), outlining its phased characteristics, typical scenarios, and inherent limitations. It then elaborates on the concept of AI-powered knowledge symbiosis and its core components, emphasizing that human-machine collaborative model of knowledge production is critical for overcoming the bottleneck of tool dependency and invigorating innovation within SSH. Further, the paper articulates three foundational pathways for constructing an AI knowledge symbiosis ecosystem: building a solid data foundation centered on semantic restructuring; leveraging powerful algorithmic engines characterized by open evolution and fostering human-machine co-creation through mechanisms of agent-based collaboration. Building on this framework, the paper explores how AI-powered knowledge symbiosis can empower the construction of an autonomous and locally-grounded knowledge system, particularly highlighting its potential to dismantle the monopoly of external discourses and enhance the narrative capacity of domestic scholarship on the international stage.
  • Research on Fundamental Issues of Disruptive Applications of Artificial Intelligence from the Perspective of Information Science
    Zha Xianjin Tan Yiting
    Library & Information. 2025, 45(03): 26-35. DOI:10.11968/tsyqb.1003-6938.2025030
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    As the core driving force of the new round of technological revolution, artificial intelligence (AI) is profoundly transforming societal production models and information ecosystems through its disruptive applications.  From the perspective of information science, this paper systematically explores fundamental issues related to the disruptive applications of AI, including their connotations, characteristics, social impacts, challenges, and countermeasures. First, it defines the connotation of AI's disruptive applications and identifies eight key characteristics: data-centricity, novelty, cutting-edge innovation, economic efficiency, user-friendliness, long-term sustainability, high-risk potential, and profound influence. Subsequently, through typical case studies, the paper analyzes the positive impacts of AI's disruptive applications, such as enhancing production efficiency and optimizing public services, as well as their negative consequences, including employment restructuring and widening digital divide. Finally, it examines existing challenges in AI's disruptive applications, such as insufficient breadth and depth of scenario adoption, the dual-edged effects of applications, and suboptimal data quality, while proposing corresponding solutions and recommendations.
  • The Framework and Objectives of Research on Social Impacts of Disruptive Applications of Artificial Intelligence and Information Governance
    Library & Information. 2025, 45(03): 36-45. DOI:10.11968/tsyqb.1003-6938.2025031
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    vigorous growth on a global scale, presenting both opportunities and challenges for disruptive applications across industries and fields such as healthcare, recommendation systems, government administration, culture, education, scientific research, transportation, and information services. It is of profound importance to scientifically and objectively understand and evaluate the social impacts of disruptive AI applications, particularly the related social information issues, and to harmonize the relationship between disruptive AI applications and information governance. This paper begins with a literature review on the social impacts of AI applications and information governance, and analyzes the deficiencies in existing research. It then proposes an overarching research framework and outlines the components of the research content concerning the social impacts and information governance of disruptive AI applications. Subsequently, it examines the design of the research content and the logical connections between different research components. Finally, it elaborates on the expectations, including fostering academic innovation, advancing disciplinary development, promoting cultural heritage preservation, and contributing to serving the overarching interests of the Party and the state. The research results to promote the sustained and healthy development of such applications.
  • Study on Topic Modeling of Artificial Intelligence Application Scenario Based on BERTopic
    Liu Xiangbei Yan Yalan Zha Xianjin
    Library & Information. 2025, 45(03): 46-55. DOI:10.11968/tsyqb.1003-6938.2025032
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    Against the backdrop of China's vigorous promotion of AI (Artificial Intelligence) application scenarios, this study employs BERTopic to examine topic patterns in AI deployment contexts. Initially, 3,524 news articles were collected from The Paper (Pengpai News) and preprocessed for analysis. For topic modeling, the Conan-embedding-v1 pre-trained large model was utilized for text embedding, followed by dimensionality reduction via UMAP, clustering through HDBSCAN, and topic representation using c-TF-IDF. Topic keywords were further refined through KeyBERT-based optimization techniques. In topic analysis, keyword distributions were examined across 11 domains: technological R&D, cultural digitization, regional economic collaboration, economic development, financial innovation, capital markets, healthcare/elderly care, policy coordination, low-altitude economy, urban development, and news dissemination. Similarity analysis revealed strong inter-topic correlations: urban development demonstrated high similarity with economic development, financial innovation, and policy coordination; while economic development showed pronounced alignment with financial innovation and policy coordination. Hierarchical clustering and document distribution analysis indicated varying degrees of cross-domain integration between technological R&D, cultural digitization, and policy coordination with other topic areas. This research, to a certain extent, elucidates the current landscape, latent demands, and interconnected elements of disruptive applications of AI.
  • Grounded Study of Internet Addiction Behavior in the Context of Mobile Intelligent Recommendation
    Library & Information. 2025, 45(03): 56-65. DOI:10.11968/tsyqb.1003-6938.2025033
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    AI-driven recommendation algorithms have been widely deployed across mobile social media platforms, enabling personalized information delivery through learning from users' historical behaviors and interest preferences. The resulting mobile intelligent recommendation ecosystem underscores the disruptive applications of AI in the recommendation domain. While mobile intelligent recommendations better satisfy users' information needs, they also exacerbate addictive online behaviors. This study employs grounded theory to explore the underlying mechanisms influencing user internet addiction within mobile intelligent recommendation contexts. First, an interview protocol was designed, and data were collected through semi-structured interviews. Three-tier coding was then conducted: during open coding, 132 initial concepts and 33 basic categories were extracted; through axial coding, 10 principal categories were identified; and during selective coding, a theoretical model of internet addiction mechanisms in mobile intelligent recommendation scenarios was constructed. The findings reveal that personal literacy, behavioral beliefs, external influences, negative emotions, and real-world conditions exert direct impacts on internet addiction behaviors. Meanwhile, the information quality, system quality, and service quality of intelligent recommendations indirectly influence behavioral beliefs through mediating effects of user satisfaction, thereby affecting addictive behaviors. This research, to a certain extent, elucidates the societal impacts of AI's disruptive applications in recommendation systems, providing theoretical references for interventions and governance strategies addressing user internet addiction within mobile intelligent recommendation environments.
  • The Social Construction of AI Risks from the Perspective of Framing Theory: An Analysis Based on Event News Text Mining
    Library & Information. 2025, 45(03): 66-79. DOI:10.11968/tsyqb.1003-6938.2025034
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    Through the framing strategies, the media construct the social meaning of artificial intelligence (AI) risks, shaping public perception and influencing policy responses. Clarifying the theme characteristics and emotional expressions in AI risk reporting can provide theoretical support and empirical evidence for improving AI risk governance. This paper, grounded in framing theory, proposes a three-dimensional analytical model of “Scope-Perspective-Tone” and employs natural language processing techniques including LDA topic modeling, sentiment analysis, and linguistic ambiguity detection to systematically examine AI risk news texts, uncovering the mechanisms and evolution of media framing in this context. It turns out the framing of AI risk in the news has shifted from a focus on technical issues—such as data privacy and algorithmic bias in earlier years—to broader sociopolitical concerns in recent years, including algorithmic discrimination, election interference, and psychological manipulation. Distinct types of media outlets demonstrate significant differences in reporting stance and focal points, reflecting the construction of diverse perspectives in risk communication. Moreover, the media generally tends to adopt negative emotional tones and employ vague or hedging language, which amplifies public anxiety and alertness regarding AI risks. Research shows that media are not merely conduits of information but active agents in shaping the social meaning of AI-related risks.
  • Digital Torchlight in the Palm of Your Hand: A Systematic Analysis and Framework Construction of Intergenerational Learning Information Practices in the Family Domain
    Li Jinhao Zhao Yuxiang Wu Chenyu Zhao Yanke Zhu Qinghua
    Library & Information. 2025, 45(03): 80-92. DOI:10.11968/tsyqb.1003-6938.2025035
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    Against the backdrop of an aging population and digital intelligence, promoting the effective integration of the elderly into the digital society and enhancing their digital literacy has become an important issue for realizing the "active ageing" perspective and the "Digital China" strategy. This paper aims to systematically explore the support mechanisms of intergenerational learning for the digital integration of the elderly in the family domain from the perspective of information practices, and to reveal its structural characteristics and behavioral logic as a collaborative information practice. This study adopts activity theory as an analytical framework and combines meta-ethnographic methods to extract core elements from multi-source textual data on intergenerational learning information practices, identifying eight core elements and constructing a four-system structural framework. Furthermore, based on a behavioral hierarchical analysis model of "activity-action-operation", the study divides intergenerational learning information practices into three evolutionary stages: demand-driven, learning practice, and feedback. The study indicates that family intergenerational learning is a systematic information practice activity embedded in a social and cultural context. Statically, it manifests as the interactive linkage of four systems: information production, intergenerational communication, intergenerational sharing, and task collaboration. Dynamically, it exhibits a hierarchical behavioral structure and a stage-progressive evolutionary path, revealing the dual functions of digital skill cultivation and emotional bonding in intergenerational interaction.
  • A Study on the Influencing Factors of Government Data Openness Performance under the Perspective of Dynamic Capabilities:Dual Evidence from fsQCA and Regression Analysis
    Liu Chongrui Liu Xuran
    Library & Information. 2025, 45(03): 93-103. DOI:10.11968/tsyqb.1003-6938.2025036
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    How to achieve high-quality government data openness and fully leverage the value of data elements have emerged as a critical concern for both academia and industry in digital age. Based on panel data from 21 provinces, this study introduces the dynamic capability theory to establish a “capability-performance” analytical framework. By employing a mixed-method approach that integrates fuzzy-set qualitative comparative analysis (fsQCA) and regression analysis, this study explored the separate impact of each capability and their interactive relationships on government data openness performance. The results shows: capabilities including institutional design, technology assimilation and data provisioning have a significant positive impact on government data openness performance; these capabilities cannot independently constitute the necessary conditions for the high-performance of government data openness; these capabilities form three conditional configurations leading to the high-performance of government data openness : the “opportunity perception” type, the“comprehensive driving” type and the “rapid response” type.
  • Research on Causes and Countermeasures of Failure in Digital Humanities Project: Analysis Based on Best Exploration of DH Failure in Digital Humanities Awards
    Zhang Xu Wang Huiru Qu Ronghua
    Library & Information. 2025, 45(03): 104-113. DOI:10.11968/tsyqb.1003-6938.2025037
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    Exploring the causal mechanisms of digital humanities projects failure is critical to digital humanities sustainability. Using the 22 “Best Exploration of DH Failure” from the 2014-2023 Digital Humanities Awards as the data source, we analyze the potential causes of digital humanities projects failure and their coping strategies in a phased and multi-dimensional way through case content analysis, combined with literature research and practical projects experiences. It is found that digital humanities projects have problems at the planning, literacy and ethical levels in the early stage of development; at the legal, technical and personnel levels in the middle stage of development, and at the financial, guarantee and archiving levels in the late stage of development. For this reason, the study proposes effective countermeasures for future digital humanities projects at different development stages from the dimensions of strategy and planning, implementation and operation, guarantee and support, so as to help the sustainability of the development of digital humanities projects.
  • Embodied Intelligence Drives Library Knowledge Services: From the User's Perspective
    Yu Yang Zhang Haoyong
    Library & Information. 2025, 45(03): 114-123. DOI:10.11968/tsyqb.1003-6938.2025038
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    Embodied intelligence emphasizes the continuous and active perception, cognition, action and interaction activities carried out in a specific environment using the physical body as a medium. From the user's perspective, the technical core of embodied intelligence-driven library knowledge services encompasses the construction of environmental digital twins that integrate multiple sensors, intelligent decision generation that adapts to dynamic scenes, agile physical control for autonomous path planning, and natural human-machine collaboration that understands human needs. On this basis, embodied intelligence drives libraries to provide "immersive" intelligent resource services, "hand-brain combined" reference consultation services, "heart-to-heart connection" communication and collaboration services, as well as "collective wisdom convergence" intelligent support services, etc. From the perspective of value orientation, embodied intelligence is driving library knowledge services from "environmental adaptation" to "spatial empowerment", from "information acquisition" to "situational experience", from "one-way indoctrination" to "two-way interaction", and from "functional satisfaction" to "self-actualization", thereby enhancing users' autonomy, immersion, participation and satisfaction.
  • International Practices of the Integration of Culture and Tourism in Public Libraries from the Perspective of the Six Components in Tourism
    Chen Yi Ye Qingqing
    Library & Information. 2025, 45(03): 124-132. DOI:10.11968/tsyqb.1003-6938.2025039
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    The integration of culture and tourism has been a topic of common concern among various cultural and tourism organizations and institutions both at home and abroad in recent years. Under the background of the general trend of the integration of culture and tourism in public libraries both domestically and internationally, a thorough exploration of the advanced experience of the integration of culture and tourism in foreign public libraries can serve as a reference and source of inspiration for the deep integration of domestic libraries and the tourism industry. Accordingly, by adoption of thematic framework analysis method and based on the theory of six components in tourism, through a thematic analysis of 23 sets of text materials on the integration of foreign public libraries and the six components in tourism, a three-level integration theme is proposed in this paper, namely the overall theme of "the integration of foreign public libraries and the six components in tourism", six themes of "traveling, lodging, catering, sightseeing, shopping, and entertaining", and 19 sub-themes. According to this, the five major characteristics of the integration of culture and tourism in foreign public libraries are identified: convenience, uniqueness, novelty, inclusiveness, and multi-functionality, on which the future implications for the development of the integration of culture and tourism in domestic public libraries are summarized.
  • Sustainable Development Capability of New Public Cultural Spaces: Framework Construction and Configuration Paths
    Ran Lian Wu Mingyang
    Library & Information. 2025, 45(03): 133-144. DOI:10.11968/tsyqb.1003-6938.2025040
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    Enhancing the sustainable development capability of new public cultural spaces is a key measure to promote the high-quality development of public cultural services. Exploring the capability dimensions and conditional configurations of the sustainable development of new public cultural spaces can provide important theoretical references for their efficient operation. By comprehensively applying meta-synthesis analysis and qualitative comparative analysis, 114 high-quality sample literatures were selected from mainstream domestic and foreign databases. Through coding, extraction, and synthesis, the MCSI model for the sustainable development capability of new public cultural spaces was constructed. Using fuzzy-set qualitative comparative analysis (fsQCA), based on 40 cases of new public cultural spaces, the configuration paths for improving their sustainable development capability were identified. The study found that the sustainable development capability of new public cultural spaces includes four interrelated dimensions: Management, Collaboration, Service, and Innovation. The key combination paths for enhancing such capability are innovation-driven, management-led, service-integrated, and efficiency-improving. On the basis of these findings, enlightenment reflections are put forward in terms of focusing on advantageous resources to build distinctive brands, deepening service functions to respond to cultural needs, and establishing a collaborative foundation to integrate cross-sector resources.
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