10 February 2026, Volume 46 Issue 2
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LIBRARY TRIBUNE. 2026, 46(2): 1-17.Multidimensional metrics that integrate variety,balance,and disparity have become essential tools for evaluating interdisciplinarity. However,the specific impact of methods for measuring disciplinary similarity,which correspond to the dimension of disparity,has not yet been systematically examined. This article identifies four key factors in measuring disciplinary similarity：disciplinary classification level,normalization coefficient,citation pattern,and time window. By developing corresponding similarity matrices,the study systematically analyzes the influence of each factor on interdisciplinarity measurement. Under different parameter settings,disciplinary similarity matrices are created based on research papers indexed in Web of Science from 1981 to 2020,along with their cited and citing references. An empirical analysis is then conducted using papers from eight representative journals. The results show that disciplinary classification hierarchies at different levels significantly impact the measurement of disciplinary similarity,leading to systematic differences in interdisciplinarity assessment outcomes. Among the four normalization methods tested,Ochiai’s cosine method yields lower similarity scores and greater interdisciplinary differentiation. In contrast,variations in citation patterns and time windows have a relatively minor effect on interdisciplinarity measurement results.
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LIBRARY TRIBUNE. 2026, 46(2): 18-32.Public data governance culture refers to the shared values,beliefs,and behavioral norms that a nation establishes for managing public data. This culture is a core driving force that enhances the effectiveness of public data governance. Exploring the current use of policy tools and the intrinsic systemic characteristics of public data governance culture is of great significance for improving its effectiveness in China. Based on policy instrument and cultural level theories,this paper presents an analytical framework of “cultural level deconstruction,policy-culture co-construction,and dynamic mechanism mapping”. Using text clustering and LDA topic modeling,the study examines 1,927 relevant policy texts nationwide,and establishes a mapping relationship between cultural levels and the thematic content of public data governance culture. This relationship provides a comprehensive view of China's public data governance culture system,reflecting its structure,characteristics,and functions.
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LIBRARY TRIBUNE. 2026, 46(2): 33-42.With the rapid development of information technology and the growing prominence of cultural diversity,the activation and utilization of ancient books has become an urgent issue. Through in-depth interviews with thirty experts,scholars and staff from libraries,publishing houses,and universities,this paper conducts a three-level coding analysis of the transcripts and identifies eight major categories："ancient book resources,difficulty analysis,activation principles,technology empowerment,derivative products,multi-party collaboration,talent cultivation,culture and tourism integration",as well as a core category："practical pathways for ancient book activation". The paper then presents a theoretical model for the revitalization of ancient books. The study reveals that leveraging both internal and external conditions to activate resource bases and create new value is the key to revitalizing ancient texts.
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LIBRARY TRIBUNE. 2026, 46(2): 43-52.The ShuoWen Jiezi Zhu is a model work of exegesis from the Qing Dynasty. While annotating the ShuoWen Jiezi,Duan Yucai referenced a large amount of textual materials,namely cited literature. Quantitative research and visual analysis of the cited literature in the ShuoWen Jiezi Zhu Shui Bu Zi are significant for examining the composition,characteristics and academic logic of these references. Based on the digitized edition of the ShuoWen Jiezi Zhu,this article creates an ontology of the cited literature in the Shui Bu Zi. Using methods such as named entity recognition,the article extracts data on the texts cited by Duan Yucai. After collation,categorization,and analysis,tools like Gephi are employed to generate knowledge graphs and word clouds that systematically present the spatial and temporal distribution of the cited literature and their associative networks. The study shows that the Shui Bu Zi references a wide range of literature,with a preference for the Confucian classics （Jing Bu）,citing 191 personal names and 273 works. Its citation methods are flexible and diverse,often using abbreviated forms,alternative titles,or authors’ names as substitutes for book titles. The study analyzes the reasons for and characteristics of highly cited literature from the perspectives of document type,historical context,and academic function. It reveals Duan Yucai’s academic paradigm of "verifying characters through classical texts" by means of data quantification. Through mutual verification between Confucian classical studies and philology,the original meaning of the characters is restored,and errors in the classics are corrected,exemplifying the Qian-Jia School’s academic spirit of "seeking truth from facts".
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LIBRARY TRIBUNE. 2026, 46(2): 53-67.The rapid development of generative artificial intelligence （GAI） has posed global challenges to technology governance. Research on the roles of governments and governance pathways reveals the differentiated characteristics and evolutionary patterns of global GAI regulation,providing theoretical insights into GAI governance. This paper presents a four-quadrant model for identifying government roles in GAI regulation,and defines four roles：controller,leader,promoter,and monitor. Then,a qualitative content analysis is conducted on 19 policy documents from eight countries/regions. The study compares the regulatory characteristics and government role orientations of various nations/regions,identifying typical governance pathways and the inherent logic of the four roles. The study reveals significant differences in governmental roles across countries/regions. The governance pathways of the four roles exhibit distinct characteristics：“defensive centralized control”,“strategic leadership and guidance”,“market-incentive coordination”,and “responsive social co-governance”,as well as three trends：the diversification of regulatory tools,the decentralization of power with shared responsibility,and the dynamic evolution between governance pathways. The paper recommends establishing a dynamic governance system featuring “technology stage-role alignment”,developing a composite governance framework centered on “role synergy”,and strengthening international collaboration and regulatory coordination.
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LIBRARY TRIBUNE. 2026, 46(2): 68-81.Deepfakes pose severe challenges to existing social trust and digital governance systems. Beyond technical detection and legal regulation,exploring human-centered governance strategies for deepfakes has become a pressing issue. This paper develops an information intervention framework for deepfake detection based on social cognitive theory,dual-process theory,and signal detection theory,focusing on intervention design,cognitive processing pathways,and evaluation of intervention effectiveness. Using an online experimental method,the study examines the dual effects of information interventions on users’ recognition ability and confidence. During the experiment,participants were required to complete deepfake identification tasks under different intervention conditions. The results demonstrate that information interventions significantly improve users’ ability to recognize deepfakes,with particularly pronounced effects in scenarios involving audiovisual hybrid forgeries. Additionally,these interventions effectively reduce overconfidence,fostering more cautious judgment. Heterogeneity analysis of individual characteristics reveals that the effects of information interventions vary across educational groups.
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LIBRARY TRIBUNE. 2026, 46(2): 82-92.In the context of AI-driven shifts in the scientific research paradigm,new changes have emerged in the patterns of scientific knowledge production and academic reading. To clarify the impact and role of generative AI on academic reading,this paper examines the current status of new academic reading platforms based on generative AI both domestically and internationally,analyzes their core functions and features,and proposes the logic and process of intelligent academic reading interaction from a human-AI collaboration perspective. These platforms exhibit notable features,such as AI-assisted conversational reading,visually enhanced intelligent reading interaction,and intelligence-driven knowledge management and collaborative reading,catering to various academic reading needs and strategies. By achieving deep integration and empowerment throughout the entire academic reading process,generative AI technologies play a crucial role in enhancing academic reading efficiency,information processing capabilities,cognitive abilities,reading experience,and scientific knowledge production,thereby accelerating the intelligent transformation of academic reading.
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LIBRARY TRIBUNE. 2026, 46(2): 93-105.The rapid growth of social media has provided the public with abundant access to health-related knowledge. However,the prevalence of conflicting health information can trigger negative emotions and cognitive distress,which may influence health-related decisions. This paper focuses on individuals’ healthcare confusion,and aims to explore its formation mechanism in this informational context. Using the eye-tracking technology,the study designed a between-group experiment （conflicting health information vs. non-conflicting health information） in which participants were instructed to browse a prototype health information website according to specific tasks. Subjective and objective behavioral data were collected using scales and eye-tracking devices;and post-experiment interviews were also conducted to gain deeper insights into the participants’ attitudes and feelings. The results indicate that conflicting health information has a significant positive impact on individuals’ healthcare confusion,with health anxiety positively moderating this relationship and e-health literacy negatively moderating it.
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LIBRARY TRIBUNE. 2026, 46(2): 106-120.Generative artificial intelligence （generative AI） has transformed the way information is retrieved and acquired,driving a shift in user search behavior from search engine queries to conversational searches. Exploring the influencing factors and formation mechanism of users’ conversational search behavior in human-AI interaction contexts,as well as enhancing the interactive experience and search effectiveness for generative AI users,have become core issues in academia and industry. Based on the Motivation-Opportunity-Ability （MOA） model and the Coping Model of User Adaptation （CMUA）,this paper presents an influencing factor model of conversational search behavior among generative AI users,using a sequential mixed-method approach that combines qualitative and quantitative research. The study suggests that internal and external motivations prompt users to evaluate their own capabilities and objective conditions. The primary evaluation consists of behavioral ability,behavioral opportunity,and perceived risk. The secondary evaluation consists of perceived utility and trust,which ultimately lead to conversational search behavior and behavioral effectiveness. During this process,internal motivation significantly influences the three dimensions of the primary evaluation,while external motivation significantly affects the two dimensions of behavioral capability and behavioral opportunity. Behavioral capability and behavioral opportunity significantly impact the two dimensions of the secondary evaluation. However,external motivation does not significantly impact perceived risk,nor does perceived risk significantly impact perceived utility. Meanwhile,both perceived utility and trust significantly affect users’ conversational search behavior,and users’ conversational search behavior also has a significant impact on behavioral effectiveness.
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LIBRARY TRIBUNE. 2026, 46(2): 121-131.Exploring the correlation between college students' use of generative AI and their information addiction behavior,as well as the triggering pathways and driving mechanisms of this behavior,can provide valuable insights into effective interventions for information addiction among this population in the context of generative AI. This article uses a revised Information Addiction Scale to identify college students with generative AI information addiction and invites 27 of them to participate in semi-structured interviews. Based on grounded theory,the study analyzes the interview data and develops a model that elucidates the underlying mechanisms linking generative AI use to information addiction behaviors among college students. College students use generative AI to satisfy their information needs when influenced by contextual factors and triggered by specific scenarios. The dynamic “confrontation” between the perceived value and perceived negative consequences of generative AI usage affects their emotional experiences,leading to non-adaptive cognition and triggering information addiction behavior.
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LIBRARY TRIBUNE. 2026, 46(2): 132-146.Library and information science （LIS） research in the Nordic region has achieved remarkable accomplishments. Scholars there,deeply rooted in the region’s unique social and cultural traditions,pioneered the adoption of a social constructivist perspective to reexamine classic research domains,including information retrieval,information literacy,information behavior,and public library concepts. These efforts have generated significant theoretical innovations,such as domain analysis metatheory,which has ushered in a social constructivist turn within the LIS discipline. Nowadays,Nordic LIS research has attained great achievements in basic theoretical innovation,academic community development,methodological advancement,and practical guidance,marking the emergence of the Nordic School of fundamental theory research in LIS. Grounded in Nordic social practices,the Nordic School emphasizes interdisciplinary research and provides valuable insights for establishing a "Chinese School" in LIS studies.
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LIBRARY TRIBUNE. 2026, 46(2): 147-159.Drawing on the IFLA Standards Procedures Manual and other materials,this paper introduces IFLA’s standards development procedures and compares the old and new versions. By comparing IFLA’s standard-setting procedures with China’s library standard formulation processes,the study offers suggestions for standardizing and optimizing China’s standard development processes and establishing association standards,with focuses on strengthening the role of professional organizations,enhancing the standardization of standard-setting processes,encouraging the participation of diverse stakeholders,and increasing the international visibility of standardization work.
