18 January 2026, Volume 47 Issue 1

    

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  The Conceptual Connotation, Main Characteristics, and Originality Embodiment of Classic Literature

  Xu Yongjun, Yang Hongyan

  Information and Documentation Services. 2026, 47(1): 17-23. https://doi.org/10.12154/j.qbzlgz.2026.01.001

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  [Purpose/significance] Currently, under the strategic background of accelerating the construction of an in⁃dependent knowledge system for Chinese philosophy and social sciences, the construction and research of classic litera⁃ture has highlighted unprecedented urgency and practical significance. [Method/process] This paper, based on the theoretical perspectives of information resource management, education, and other disciplines, comprehensively utiliz⁃es research methods such as literature surveys and comparative analysis to deeply explore the conceptual connotation,main characteristics, and originality of the concept of "classic literature". [Result/conclusion] The "classic literature" comprises mainstream, classic, and essential reading materials from various disciplines, selected by the academic com⁃munity based on scientific standards and standardized procedures. This selection, along with the subsequent compilation and processing of these materials into a reading tool and reference system, possesses nine key characteristics: timeli⁃ness, consensus, leadership, historical relevance, and originality. Addressing the strategic need to construct an indepen⁃dent knowledge system for China, and grounded in the intellectual soil of Chinese philosophy and social sciences, the "classic literature" has refined new terminology, endowed it with new connotations, derived new conclusions, formed new advantages, and achieved new expansions, thus fulfilling the characteristics of an original academic concept.
  
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  The Selection of Classic Literature in Philosophy and Social Sciences and the Reshaping of Academic Evaluation Value

  Ye Jiyuan

  Information and Documentation Services. 2026, 47(1): 24-30. https://doi.org/10.12154/j.qbzlgz.2026.01.002

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  [Purpose/significance] Against the backdrop of rapidly increasing but unevenly quality academic research output in China's philosophy and social sciences, the issue of value alienation in the academic evaluation system re⁃mains prominent. Tendencies such as "papers-only, titles-only, degrees-only, awards-only" and "titles-only", along with one-sided and absolutist evaluation practices, severely constrain the accumulation, innovation, and healthy devel⁃opment of academia. The "classic literature" selection initiative launched by Renmin University of China, as a novel ac⁃ademic evaluation and knowledge management approach, seeks to restore the intrinsic value of academic evaluation and reshape the academic ecosystem. [Method/process] Using the "comprehensive evaluation" theory as an analytical framework and combining case study methods, this paper systematically analyzes the problems of the current academic evaluation system, then elaborates on the conceptual origins, operational mechanisms, and six evaluation elements of the "classic literature" selection (purpose, subject, object, method, standards, and system). [Result/conclusion] The "classic literature" selection promotes the value reconstruction of academic evaluation across three dimensions: at the value rationality level, it emphasizes the quality and innovation of academic content itself; at the content comprehen⁃sion level, it advocates qualitative judgments based on expert in-depth reading; and at the ecosystem construction lev⁃el, it guides the academic community to return to a pragmatic and truth-seeking scholarly ethos. To improve the "clas⁃sic literature" system, it is necessary to strengthen meta-evaluation mechanisms, refine core concepts, enhance manda⁃tory reading attributes, promote mainstream integration, and establish dynamic update mechanisms, thereby better le⁃veraging its positive role in facilitating effective knowledge accumulation, stimulating academic innovation, and advanc⁃ing the construction of discipline systems and discourse frameworks in Chinese-characteristic philosophy and social
  sciences.
  
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  The Generative Logic, Multidimensional Manifestations, and Realization Paths of Classic Literature Value

  Li Jian, Liu Wenxin

  Information and Documentation Services. 2026, 47(1): 31-38. https://doi.org/10.12154/j.qbzlgz.2026.01.003

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  [Purpose/significance] As classic literature evolve from static paper compilations to dynamic digital knowl⁃edge infrastructure, their value possesses multi-layered and multi-dimensional characteristics. Through a systematic analysis of the generation, dimensions, and realization paths of classic literature value, this paper aims to improve and enrich the theoretical system of classic literature value at the theoretical level, and provide a solid theoretical reference for promoting the high-quality development of classic literature construction at the practical level. [Method/process] First, through literature review and theoretical analysis, the logic of classic literature value generation is explained; sec⁃ond, starting from specific service scenarios, the multi-dimensional value manifestations of classic literature are re⁃vealed; finally, from the perspectives of mechanisms, technology, and strategic adaptation, feasible paths for realizing the value of the main document were explored. [Result/conclusion] The value of classic literature is rooted in solid re⁃alities and profound internal logic, and is a positive response to the objective requirements of the current transformation of knowledge production models and the development of academic innovation. The value manifestation of classic litera⁃ture has three dimensions: the first layer is the basic support value, mainly including the value of carefully selected doc⁃uments; the second layer is the basic empowerment value, mainly including the value of education and teaching, aca⁃demic evaluation, supporting original creation, and knowledge dissemination; the third layer is the strategic guidance value, mainly including the guiding value. To realize these three layers of value, it is necessary to closely adhere to the core positioning of each layer and form a complete closed loop of mutual empowerment and synergistic efforts by build⁃ing a linkage system of "selected mechanisms - application scenarios - strategic adaptation".
  
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  The Practical Significance, Application Scenarios, and Future Development of Classic Literature Construction

  Dai Pengjie, Liu Pingping, Yang Yinglun

  Information and Documentation Services. 2026, 47(1): 39-45. https://doi.org/10.12154/j.qbzlgz.2026.01.004

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  [Purpose/significance] Currently, the role of classic literature development in supporting national strate⁃gies such as the construction of an independent knowledge system, cultural digitization, and cultural soft power is be⁃coming increasingly prominent. By systematically reviewing the practical significance, application scenarios, and fu⁃ture development of classic literature development, this study aims to provide systematic theoretical references and practical guidance for the high-quality advancement of classic literature development. [Method/process] Through lit⁃erature review and content analysis, this study systematically summarizes the necessity of classic literature develop⁃ment, analyzes its specific application scenarios in practice, and discusses the future directions for its further develop⁃ment. [Result/conclusion] Firstly, the necessity of classic literature development stems from the urgent need to ad⁃dress the crisis in the academic ecosystem, the inevitable choice to promote academic innovation, and the strategic lay⁃out for constructing an independent knowledge system. Secondly, classic literature development can be applied in sce⁃narios such as the construction of high-quality datasets in philosophy and social sciences, the enhancement of originali⁃ty-oriented academic journal quality, the development of undergraduate research-oriented courses, and the digitiza⁃tion of public cultural services. Finally, efforts should be made to build a more comprehensive and intelligent "philoso⁃phy and social sciences classic literature platform" based on existing resources and advanced technologies; to leverage classic literature development to support the construction of China's independent knowledge system; to promote the in⁃tegrated development of "artificial intelligence + philosophy and social sciences" through data annotation of classic lit⁃
  erature resources; and to serve global knowledge innovation through classic literature development.
  
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  Paradigm Evolution and Knowledge System Construction Pathway of User Experience Research in Domestic Digital Libraries

  Xu Fang, Li Wenjie

  Information and Documentation Services. 2026, 47(1): 46-55. https://doi.org/10.12154/j.qbzlgz.2026.01.005

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  [Purpose/significance] In response to the strategic demand for building autonomous disciplinary knowl⁃edge systems, this study aims to systematically review the research status and evolutionary trajectory of digital library user experience (UX). The goal is to construct a knowledge system for this specific field, thereby providing a micro-lev⁃el foundation and a practical case for the development of the parent discipline's autonomous knowledge system. [Meth⁃od/process] Following the PRISMA guidelines, a systematic literature review was conducted. A total of 81 documents were selected as the analytical sample from three major Chinese databases. The included literature was systematically coded for research themes, fundamental concepts, research paradigms, theoretical models, and evaluation frameworks.[Result/conclusion] This study identifies a three-stage developmental trajectory in digital library UX research and proposes a three-dimensional analytical framework for its research paradigms. Furthermore, it constructs a comprehen⁃sive knowledge system for digital library UX, centered on the core path of "value-driven - status analysis - practical approach". This work offers a novel pathway for the construction of disciplinary knowledge systems.
  
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  Research on the Measurement and Optimization of Value Co-creation Behaviors in Online Health Community: A Case Study of Health Super Topic on Weibo

  Wang Yi, Ke Qing

  Information and Documentation Services. 2026, 47(1): 56-64. https://doi.org/10.12154/j.qbzlgz.2026.01.006

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  Abstract：[Purpose/significance] This study aims to construct a value co-creation behavior network among multiple stakeholders, reveal key stakeholders and value flows, and provide a theoretical framework and practical strategies for
  optimizing the online health community. [Method/process] Using stakeholder value network analysis, this study takes
  health super topics on Weibo as the research object. It constructs a value co-creation behavior network comprising six
  types of stakeholders and 35 value flows, and quantitatively measures the importance of stakeholders and value effec⁃
  tiveness. [Result/conclusion] The super topic platform, as a key stakeholder in the value co-creation network, along
  with sub-key stakeholders (hosts and information producers), forms a collaborative mechanism. The platform and hosts
  enhance management efficiency through a two-way constraint mechanism, while third-party institutions have low par⁃
  ticipation due to insufficient interaction. The study identifies six high-scoring value loops centered on rule governance,
  quality optimization, and deepened interaction, forming a ternary stakeholder short-path collaborative mechanism. It al⁃
  so proposes a three-dimensional optimization strategy of "behavior network optimization-value chain transformationactivation
  of marginal stakeholders", offering managerial insights for the sustainable development of super topic com⁃
  munity.
  
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  Research on Privacy Risk Retention Behavior of Mobile APP Users from thePerspective of Privacy Uncertainty

  Zhu Hongcan, Peng Qianqian

  Information and Documentation Services. 2026, 47(1): 65-73. https://doi.org/10.12154/j.qbzlgz.2026.01.007

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  [Purpose/significance] This study aims to reveal the characteristics and influencing factors of mobile APP users' privacy risk retention behavior from the perspective of privacy uncertainty, explaining the paradoxical phenome⁃non where users choose to bear losses caused by privacy risks rather than actively adopt privacy protection measures. It contributes to strengthening user privacy security protection and optimizing the mobile application ecosystem. [Meth⁃od/process] Based on grounded theory method, this study explores the characteristics and influencing pathways of mo⁃bile APP users' privacy risk retention behavior. [Result/conclusion] Under the perspective of privacy uncertainty, mo⁃bile APP users' privacy risk retention behavior manifests as three characteristics: active privacy concession, default pri⁃vacy permission, and forced privacy compromise. Such behavior leads to intensified risks, risk addiction, and cognitive rigidity. At the user level, platform level, privacy benefit level, and social environmental level, ten factors influence the occurrence of privacy risk retention behavior. User privacy uncertainty plays a mediating or moderating role in the path⁃ways through which these factors affect privacy risk retention behavior.
  
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  Knowledge Discovery from Electronic Medical Records Based on Weighted Association Rules

  Ma Jie, Han Xiaoxin, Feng Jia, Gu Yingchi

  Information and Documentation Services. 2026, 47(1): 74-85. https://doi.org/10.12154/j.qbzlgz.2026.01.008

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  [Purpose/significance] As an important medical digital resource, medical electronic medical record con⁃tains rich clinical information and knowledge, and its in-depth knowledge mining and discovery can discover tacit med⁃ical knowledge and provide accurate prediction and decision support for medical clinics. [Method/process] This paper discusses the framework of knowledge discovery methods for electronic medical records, proposes the implementation process of electronic medical record knowledge discovery based on the weighted association rule algorithm of principal component analysis, and conducts empirical research with the inpatient electronic medical records of patients with cere⁃brovascular diseases. [Result/conclusion] It is found that the weighted association rule method proposed in this study has some optimization effect in cerebrovascular co-morbidity pattern recognition, and the association rule and its confi⁃dence level are newly changed through the weighting process. The results demonstrate the application value and pros⁃pect of this weighted association rule method in electronic medical record knowledge discovery, and also provide new ideas and methodological guidance for future research and practice.
  
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  Research on Toxic Content Detection in Emergency Events Based on GenAI Data Augmentation

  Deng Shengli, Liu Liyi, Zhu Qiuyu, Cheng Linqi

  Information and Documentation Services. 2026, 47(1): 86-93. https://doi.org/10.12154/j.qbzlgz.2026.01.009

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  [Purpose/significance] In the context of sudden emergency events, content on social media poses severe challenges to online environments and emergency management due to the amplification effect of public opinion dissemi⁃nation. Traditional detection methods suffer from issues such as imbalanced classification data and low detection accu⁃racy, necessitating efficient solutions. [Method/process] This study constructs a dedicated dataset of content from Wei⁃bo comments in sudden emergency events. Generative Artificial Intelligence (GenAI) technology is employed to gener⁃ate semantically equivalent pseudo-toxic content through few-shot prompt learning, balancing the sample distribution.Furthermore, the MACBert-Att model is proposed by integrating the MACBert pre-trained model with a global atten⁃tion mechanism, enhancing the semantic capture capability for domain-specific terms and emotional expressions. [Re⁃sult/conclusion] Experiments demonstrate that with GenAI data augmentation, the MACBert-Att model achieves an F1 score of 0.95, representing a 15% improvement over the baseline Bert model and significantly outperforming tradi⁃tional augmentation methods like SMOTE. This validates the collaborative effectiveness of GenAI-based semantic-lev⁃el data augmentation and the model architecture.
  
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  Research on the Effectiveness of Generative Intelligent Search: A Perspective Based on the Hierarchical Interaction Model

  Li Fan, Qin Chunxiu, Ma Xubu, Lv Shuyue, Zhang Ruijia

  Information and Documentation Services. 2026, 47(1): 94-102. https://doi.org/10.12154/j.qbzlgz.2026.01.010

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  [Purpose/significance] Generative AI search engines are becoming the most frequently used and most dis⁃cussed search platforms. However, there remains limited understanding regarding the effectiveness of their system de⁃sign, their ability to support diverse task types, and their capacity to enhance search outcomes for individuals with dif⁃ferent learning styles. This study addresses these gaps to supplement research on search behavior and effectiveness within generative AI search environments in the field of interactive information retrieval. [Method/process] Based on a hierarchical interaction model, we used the New Bing website as our experimental system to investigate the relation⁃ship between system interactions (information resources, page presentation, and technical characteristics) and search effectiveness. We also examined how different task types (factual and exploratory) and learning styles (divergent, con⁃vergent, assimilative, and accommodative) influence user search behavior and search outcomes. [Result/conclusion] Most system interaction metrics correlate positively with search effectiveness at the user level, while cost- benefit search effectiveness relates solely to page layout and typography. Participants demonstrated richer search behaviors and superior search outcomes during factual tasks. Furthermore, significant differences in search behaviors emerged across the four learning styles, primarily reflected in query restructuring frequency and types. Search effectiveness vari⁃ations were equally pronounced, with participants exhibiting divergent learning styles reporting superior experiences in both quality satisfaction and perceived value.
  
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  The Art of Flexibility in Information Practice: A Study on User Tactics for Coping with Generative AI Constraints

  Zhao Haoyu, Han Zhengbiao, Yin Shuqi

  Information and Documentation Services. 2026, 47(1): 103-111. https://doi.org/10.12154/j.qbzlgz.2026.01.011

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