［Purpose/significance］ With the advancement of AI composition technology and the growing integration of humanAI collaboration,advanced General Artificial Intelligence (GAI) agents are endowed with the capability to emerge and establish social connections with users by exhibiting humanlike featuresThis study endeavors to enhance the existing research concerning the mechanism of humanAI interaction from a sociotechnical perspective and aims to offer insights for the design of GAIs within the framework of HumanCentered AI (HCAI) principles［Method/process］ In this study,we collected 1275 posts of user conversations with ChatGPT from the Douban communityFollowing the constructivist paradigm,we constructed a conceptual framework informed by the Computers Are Social Actors (CASA) paradigm and mind perception theory,using a systematic thematic analysis approach［Result/conclusion］ This study presents a theoretical model portraying GAI as social actors,elucidating users’ mind perceptions and social responses during humanAI interactionsThe perceptions of GAI encompass both agency and experience dimensions,mutually influencing each otherGAI agency perception comprises dimensions such as creativity,reliability,running rules,objectivity,and utilityMeanwhile,GAI experience perception includes empathy,communication responsibility,fun,friendliness,and cultural adaptabilitySocial responses involve cognitive,emotional,and behavioral dimensionsCognitive processing encompasses knowledge acquisition and attitude changeEmotional arousal includes pleasure,resonance,and social connectionBehavioral reinforcement includes sustained paying behavior and parasocial interactionNotably,a bidirectional relationship exists between users’ social responses and their perceptions of GAI

［Purpose/significance］ Conversational search is one of the key topics discussed in the field of interactive information retrieval,and it may become an information retrieval paradigm that will dominate the future in the context of HumanAI interactionThis paper reviews the theoretical and applied research progress of conversational search,in order to build a bridge between humanity and technology,enhance technological innovation,and finally focus on the improvement of user interactive experience of conversational search,providing inspiration for subsequent research［Method/process］ Adopting a systematic review method,this paper firstly constructs the 4A conceptual analysis framework of conversational searchThen systematically sorts out the relevant research topics of conversational search in the context of HumanAI interaction from the four aspects of algorithm fusion,user interaction,effect evaluation and application practiceFinally,from the perspective of library and information science,this paper proposes the future research prospects of user conversational search behavior,including broadening the application boundaries of classical theories and models in the field of information behavior,optimizing the design elements of conversational search user information interaction behavior research,promoting the extension and expansion of conversational search under the perspective of "search as learning",building a conversational search efficiency evaluation system under the HumanAI interaction context,and creating new application scenarios of conversational search in the field of knowledge services［Result/conclusion］ Relevant research conclusions can further enrich the research field of information retrieval,provide references for the design of conversational system functions and services,and form some enlightenment for the development and management of HumanCentered AI in a certain sense

［Purpose/significance］ With the determination of the name of the first level discipline of “Information Resource Management”,the construction of this discipline faces new opportunities and challenges.Looking back at the century long development history of the discipline of information resource management,summarizing the key nodes,and providing inspiration for the long-term development of primary discipline construction.［Method/process］ Based on the changes in the position or name of the first level discipline of information resource management in the discipline directory and relevant historical materials,we believe that the establishment of the discipline evaluation group in 1990,the determination of the discipline directory in 1997,and the renaming of the discipline in 2011 can be regarded as three milestones in the development of this discipline,playing an important role in its growth and prosperity.［Result/conclusion］ A century of history has taught us that the stable and far-reaching development of the first level discipline of information resource management requires adhering to the development path of the first level discipline of information resource management with Chinese characteristics.Must undertake historical missions and meet social needs.Learn from the experience and lessons of the first level discipline of information resource management.The development consensus of upholding integrity and innovation is constantly advancing.

［Purpose/significance］ The purpose of constructing an assessment system for the quality of information disclosure on public health emergencies from the perspective of multisource data based on national policies,research literature,and public interviews is to assess the quality of information disclosure in a more comprehensive way,to identify the problems that exist in the current disclosure of information,and to improve the quality of disclosure in a targeted manner［Method/process］ Using the research method of grounded theory,a total of 32 pieces of data from national policies,research literature,and interviews were selected as primary data,and open coding,principal axis coding,and selective coding were applied to the data using the Nvivo12 qualitative analysis software,and the credibility of the coding results was verified through the theoretical saturation test［Result/conclusion］ The quality assessment system of public health emergency information disclosure under the perspective of multisource data fusion is finally constructed,which is divided into four dimensions,namely,basic guarantee,implementation process,social effect and core content,and includes 7 firstlevel indicators and 40 secondlevel indicators,including resource construction,process management,service provision,communication carrier,public experience,governmentpublic interaction,and information content,and the meanings and categories of the indicators are also given,which provides the theoretical and practical basis for the effective implementation of a more comprehensive assessment of the quality of public health emergency information disclosure

［Purpose/significance］ This study develops a framework for integrating LLM-based agents into the domain of security risk situation awareness.This initiative aims to serve as a benchmark for facilitating the intelligent transformation of security intelligence operations,thereby supporting the advancement of national capabilities in security risk monitoring and early warning.［Method/process］ Employing normative research methodologies,this article initially addresses the research progress of LLM-based agents and their empowerment of enhancing security risk situational awareness.Following this,guided by the principles of systems theory,game theory,and risk assessment theory,it delves into the operational mechanisms behind security risk situational awareness as propelled by LLM-based agents.Conclusively,it establishes a framework for security risk situational awareness predicated on LLM-based agents and elucidates its inherent meanings.［Result/conclusion］ The framework,grounded on LLM-based agents,intelligently perceives elements of risk situations.It relies on the collaboration and game theory of multiple agents to intelligently evaluate the security risk situation.Using simulation and modeling techniques as an entry point,it intelligently analyzes and applies risk situation intelligence,aiming for a systematic and precise depiction of security risk situations.This lays the foundation for the practical application of LLM-based agents in the field of security intelligence.

［Purpose/significance］ Along with the proposal of the overall national security concept,it has become a consensus in the intelligence community to create a secondlevel discipline of national security intelligence under the firstlevel discipline of national security scienceIn this context,a correct grasp of the concepts and methods of national security intelligence theory and research will help promote intelligence research to better serve the enhancement of national security capabilities［Method/process］ Based on the academic contributions and dilemmas of national security intelligence theory research,we explain the philosophical basis of national security intelligence theory,and put forward the strategic choice of constructing national security intelligence theory with Chinese characteristics［Result/conclusion］ The philosophical basis of intelligence theory determines that the construction of national security intelligence theory with Chinese characteristics should take into account the basic theory of intelligence and the applied theory of intelligence,the study of the history of intelligence and the study of intelligence normative theory,build a systematic and complete national security intelligence theory system with metatheory,mesotheory and microtheory,integrate the Chinese and foreign intelligence research,form the Chinese school of intelligence research,and find the theoretical basis for the development of intelligence science as a social science discipline and guide the theoretical researchTheory of intelligence as a social science discipline is to be found,and theoretical research is to be carried out under this guidance

［Purpose/significance］ The purpose of this study is to analyze the language content of Artificial Intelligence Generative Content (AIGC) in the context of online healthcare.The aim is to provide decision support for doctors using AIGC to respond to patient queries and for patients engaging in self-help diagnosis.Additionally,the study aims to offer reference insights for online healthcare platforms to effectively utilize AIGC and enhance service quality.［Method/process］ 1264 doctor-patient dialogue data were collected from the online medical platform,and patient consultation questions were input into ChatGPT to generate response text.The similarities and differences between the real response from doctors and the response generated by AIGC were analyzed in terms of text,vocabulary,semantics and emotion.TF-IDF model was used for text similarity analysis,Doc2Vec model was used for semantic similarity analysis,xmnlp toolkit was used for sentiment analysis,and BERTopic model was used for topic difference analysis.［Result/conclusion］ The average text similarity and semantic similarity of AIGC and doctor’s true response texts were 0.09 and 0.81,respectively,and the median score of affective attitudes was 0.48 and 0.44,respectively,with no statistical significance.There are differences between AIGC and doctor’s true response texts in space,level and similarity among subjects,and differences in content and representation effectiveness within subjects.The results show that AIGC has certain language understanding and situational reasoning abilities,which can provide some decision support for doctors and patients in online medical situations,but the accuracy,coherence and readability of language expression still need to be improved.

［Purpose/significance］ With the popularization of digital reading and the transformation of information acquisition methods,fragmented reading has become a new normal of readingThis article aims to explore the psychological effects of fragmented reading on users,and investigate the impact of fragmented reading on subjective wellbeing and the mediating effect between them［Method/process］ This article combines the fragmented reading context to design the Basic Psychological Needs Satisfaction Scale,the Fragmented Reading Positive and Negative Emotion Measurement Scale,and uses life satisfaction and emotional balance to jointly measure subjective wellbeingBased on the selfdetermination theory,this study examines the impact of fragmented reading content types on subjective wellbeing and the mediating role of basic psychological needsData is collected from fragmented reading groups using a questionnaire survey method［Result/conclusion］ Firstly,news and information oriented,knowledge learning oriented,and entertainment oriented fragmented reading have a significant positive correlation with subjective wellbeingSecondly,the three types of fragmented reading are significantly positively correlated with life satisfaction,but not significantly correlated with emotional balanceThirdly,the autonomy and relational needs in basic psychological needs play a complete mediating role between the three types of fragmented reading and subjective wellbeing

［Purpose/significance］ Intelligence facts (or intelligence evidences,including “raw WIKID” and “WIKID memes”) are the changes and trends of concerned things (and their pseudo presences) mapped into the arena of intelligence studiesCorrect understanding and effective employment of the concept of intelligence facts is helpful for both the exploration of the intelligence studies and the healthy development of the intelligence enterprise［Method/process］ This paper,starting from the discussion of several related concepts,clarifies the concept of intelligence facts,explains three types of intelligence facts,displays the basic methods for creating WIKID memes through WIKID exploitation procedures,and analyses the concepts of “clues/threads”,“signals”,and “weak signals”［Result/conclusion］ This paper points out that,by consciously and actively using the intelligence facts and practicing critical thinking,intelligence personnel and organizations can rapidly improve the quality and efficiency of their intelligence work in the process of addressing the challenges of information incompleteness faced by customers while making their decisions

［Purpose/significance］ This paper aims to analyze the phenomenon of interdisciplinary knowledge flow,measure the characteristics of knowledge at different flow stages,and classify the knowledge.［Method/process］ The interdisciplinary knowledge flow is divided into the stages of knowledge inflow,concept innovation,and knowledge outflow.Then,through interdisciplinary analysis,knowledge emergence analysis,interdisciplinary citation analysis,and conceptual compatibility analysis,the characteristics of knowledge at different stages are measured.Based on the differences in characteristics,the knowledge is classified into four types:borrowing type,assimilation type,innovation type,and differentiation type.［Result/conclusion］ By understanding the characteristics of interdisciplinary knowledge at different stages and classifying it from the perspective of knowledge flow,a better understanding of the conceptual differences of interdisciplinary knowledge in different disciplines can be achieved,and its development direction can be predicted.

［Purpose/significance］ Technological catalysis highlights the production characteristics of large scale,low homogenization threshold,and frequent use of generative tools in information,which are expected to serve as weaponization tools under the promotion of unrestricted spatial agglomeration.It is particularly necessary to explore preventive measures and strategies from the perspective of information perception.［Method/process］ Identify the phenomenon of large-scale homogeneous generative information aggregation from four perspectives:information flow conditions,homogenization attributes,generative tool roots,and agglomeration evolution.Based on this,establish a targeted information perception process and integrate it into a two-step method design to achieve research objectives.Exploring the strategy for sustained construction of information perception capabilities based on empirical results and their underlying reasons,starting from the characteristics of phenomena.［Result/conclusion］ Research has found that the method has good performance and can achieve the representation of intelligence content in terms of information aggregation scale,aggregation homogenization degree,aggregation characteristics,and aggregation threat dynamics warning,thereby providing support for the institution of security perception nerve endings.［Limitations］ The information perception results only focus on threat detection,lacking a focus on the causes of phenomena.In the future,in-depth theoretical analysis can be conducted to more comprehensively reflect the underlying mechanisms beneath the surface.

［Purpose/significance］ In the era of interactive artificial intelligence,machine processing of information has reached new heights beyond human capabilities,posing fresh demands on knowledge management due to the emergence of dark knowledgeThe SECI model has struggled to elucidate the essence and scope of knowledge management in the age of interactive artificial intelligence,necessitating an urgent update to accommodate the new requisites of technological advancements［Method/process］ This paper initially reviews the evolutionary trajectory of the SECI model and the Ba theorySubsequently,integrating the features of humanintelligence interaction,it discusses the connotations and extensions of knowledge management,the expansion and transformation of knowledge conversion processes,and further reflection and summation on knowledge management modelsIt proposes a developmental pathway for the reciprocal transformation of dark and explicit knowledge［Result/conclusion］ Building upon the SECI model,this paper proposes a new knowledge transformation model (TED model) in the context of humanintelligence interactionIt is proposed that explicit knowledge is the bridge linking dark knowledge and tacit knowledge in humanintelligence interaction,and the transformation of dark knowledge and explicit knowledge is the key in the new context of knowledge management,which needs to promote the quality and efficiency of the transformation of dark knowledge from the four aspects of infrastructure,process management,personalized design,and standard development［Limitations］ The proposed theoretical model is limited in that it is only established within the context of interactive artificial intelligence as the cognitive agentFurther ethical exploration is needed to determine whether AI can function as an independent cognitive entity outside of the human brain

［Purpose/significance］ In recent years,serious chronic diseases have seriously endangered people’s healthThe use of knowledge graph to explore the prevention and treatment factors and drugs for chronic diseases can effectively manage the health of chronic diseases［Method/process］The paper proposed a semijoint knowledge extraction method that takes the abstracts and titles of biomedical English literature as a dataset,simultaneously extracts entities and their relationships in the text through pre trained models such as BioBERT,and uses a rulebased approach to obtain the tripletsFinally,the paper constructed a knowledge graph for chronic disease health management and utilized graph embedding models such as RotatE for knowledge reasoning［Result/conclusion］ Taking diabetes as an empirical study,we found that the semijoint extraction method is more effective in extraction,and after fusing the data from multiple sources,a total of diabetes health management knowledge graph containing about 55032 entities and 101023 triplets was constructedThe preventive factors such as the healthy lifestyle of diabetes and potential therapeutic drugs were deeply excavated,providing more comprehensive prevention and treatment recommendations for patients and a new direction for drug research and development for researchers

［Purpose/significance］ Since the 1980s,the United States has begun to formulate intelligence policies to regulate intelligence outsourcing.Studying the history and motivation of the change in the United States government intelligence outsourcing policy will help us to understand the institutional mechanism of its intelligence operation in depth,and provide reference for public-private co-operation in the field of intelligence in China.［Method/process］ This study extensively collects the US intelligence outsourcing policy texts in the United States,gives diachronical analyses on their content,and applies a multi-threats analysis model to analyse the drivers of policy changes.［Result/conclusion］ The study finds that the US intelligence outsourcing policy has gone through the process of “rule-making-outsourcing expansion-policy co-ordination-institutional reflection”.It’s the result of the interaction of three main factors,which are concerns about excessive costs and low efficiency (problem stream),absorption of market mechanisms and corporate advantages (policy stream),and consideration of political risks and policy inertia (political stream).

［Purpose/significance］ Through a systematic review of relevant literatures on social robots,this paper presents the evolving conceptual development of the design of social robots for the elderly,helping the elderly to bridge the digital divide and promote the physical and mental health of the elderly and their wellbeing［Method/process］ By using the method of theorygenerating metasynthesis,72 Chinese and English literatures were sorted out and summarized to present the four core research categories on the design of social robots for the elderly,including design motivations,design paradigms,design hierarchy model and design architects of social robots［Result/conclusion］ From the perspectives of design and information science,the practical progress and logical correlation of the design of social robots for the elderly is analyzed emphatically,the current international mainstream research views are sorted out,a basic research framework for the design of social robots for the elderly is constructed,and put forward several directions worthy of exploration in the future

［Purpose/significance］ Based on the perspective of “paper-patent” correlation,this paper identifies emerging terms that “lead the development trend of future technology in the innovation chain from paper to patent” through the way of emerging technology extraction and quantitative research.［Method/process］ This research innovatively adopts Termolator algorithm and GPT prompt learning to extract new terms.This method explores the application effect of GPT prompt learning in term extraction through comparative experiments,and significantly improves the accuracy and recall rate of term extraction.Furthermore,Minibatch Kmeans++ algorithm is used to cluster the results of term recognition,forming technical topics,and these emerging technical topics are identified and classified by multidimensional index quantitative analysis method.［Result/conclusion］ This paper divides the emerging technical terms into hot,cutting-edge,applied and potential emerging terms,and realizes the effective recognition and classification of the topics of technical terms.The results show that this method can effectively reveal the emerging technologies that lead the development trend of future technologies in the field of large model research and provide a new way for the identification of emerging technology terms.［Limitations］ This study has certain limitations in the vectorization representation of technical terms and the determination of the threshold of emerging technology topic recognition indicators which deserve further study.

［Purpose/significance］ Citation Topic Recognition/Analysis (CTR/CTA) is one of the important research fields in Citation Content Analysis (CCA)Identifying/extracting topics from the citation corpus is expected to provide a new solution for the further research on the evaluation of academic contributions,analysis of knowledge diffusion and evolution［Method/process］ This paper takes a highly cited paper related to the Nobel Prize in Physiology or Medicine as an example,uses the BERTopic algorithm to identify its citation topics based on its citation sentence corpus,and then analyzes and discusses the citation topics from multiple dimensions［Result/conclusion］ Our research shows that CTR/CTA of a single highly cited paper can reveal its academic contributions and their evolution trend in a more comprehensive and detailed waySpecifically,BERTopic algorithm can well identify citation topics in our case paper;the characteristics of citing papers vary among different citation topics;the analysis of importance and evolution trend of citation topics and their differences from its original text topics can describe peers’ understanding of academic contributions to case paper from different dimensions,which further indicates that CTR/CTA research has indepth exploration value using for academic paper evaluation

［Purpose/significance］ It is of practical significance to analyze the rationality and scientificity of China’s data elements policies in terms of policy tools,policy themes,and policy effectiveness to promote the sustainable development of data elements［Method/process］ The paper takes 39 policy texts as samples,analyzes them through content analysis method,TFIDF algorithm,LDA theme modeling and PMC index model,and puts forward feasible suggestions based on the results［Result/conclusion］ The results show that:① There is an imbalance in the use of data elements policy tools and their internal subtools,which is generally characterized by the Chinese government’s preference for supplyside policy tools and less use of demandside policy tools② There is a comprehensive coverage of policy themes,but there is an imbalance in regional development③ The overall performance of policy effectiveness is good,but there is still room for improvement of the scores on the indexes,such as policy timeliness and policy nature

［Purpose/significance］ Medical named entity recognition is a critical step for medical and healthcare knowledge mining and knowledge organization.The semantic associations between multimodal data are mined to improve the medical entity recognition effect,which provides support for domain knowledge complementation and knowledge reasoning.［Method/process］ In this paper,we propose a multimodal Chinese medical named entity recognition model BAF-MNER (Bilinear Attention Fusion-Multimodal Named Entity Recognition) based on bilinear attention fusion mechanism.The model first learns semantic features from multimodal medical data through visual and text encoders;next a bilinear attention network is utilized to achieve cross-modal semantic interaction between image and text,introducing a gating mechanism to filter the visual noise;then fusing the visual and text features based on the attention mechanism to construct the multimodal feature representations,and adding a batch normalization layer to optimize the deep neural network;finally,inputting the multimodal feature vector into a CRF layer to decode to obtain the predicted labels.［Result/conclusion］ The proposed model can effectively improve the Chinese medical named entity recognition,increasing the F1 value on multimodal medical dataset by 4.07% compared with the unimodal baseline model,and 1.65% compared with the multimodal baseline model;the experiments on multimodal public dataset indicate an excellent generalization of our model.

［Purpose/significance］ The paper explores the relationship between social media false information’s characteristic and perceived trust,in order to enhance college students’ ability to distinguish false information［Method/process］ It extracts general features of false information through grounded theory coding,and analyzes its relationship with perceived trust through the combination of questionnaire surveys and eye movement experiments［Result/conclusion］ ①False information generally includes five feature dimensions(33 sub features):content,publisher,disseminator,emotion and form②College students mainly focus on the publisher,title,content,and image text when reading false information③The perception of trust is significantly correlated with the features of false information content,publisher,form and emotionalThis relationship is not influenced by the disseminator④The average perceived trust rating of college students towards false information is 295±1340,and their ability to identify false information needs to be improved

［Purpose/significance］ Social media has become an important way to disseminate information about major public health events,and social media recommendation algorithms have an important impact on the dissemination of information about major public health eventsSocial media users participate in social media algorithmic rules through algorithmic resistance behaviors to actively regulate access to information about major public health eventsAlgorithm resistance behavior is important information behavior of users in social media information dissemination of major public health events［Method/process］ This paper analyzes the interview data of 25 interviewees using the grounded research method,delineates the process stages of social media users’ algorithmic resistance behaviors under major public health events,identifies the influencing factors of different process stages,and summarizes the theoretical model of the process of algorithmic resistance behaviors［Result/conclusion］ The process of algorithmic resistance behavior of social media users under major public health events includes the stage of situational demand triggering,the stage of recommendation evaluation and experience,and the stage of resistance assessment and decisionmakingAlgorithmic resistance behavior is directly influenced by the elements of resistance strategy evaluation,user literacy,emotional experience,recommendation evaluation,and indirectly influenced by situational pressure and user needsThis paper helps to deepen the theoretical study of social media users’ information behavior under major public health events,and provides a reference for emergency management and public opinion governance practices of major public health events

［Purpose/significance］ Reflective analysis of research methodologies is crucial for understanding the development of disciplines and establishing independent disciplinary knowledge systems.By examining the differences in research methods used by scholars from different countries,we can gain a comprehensive understanding of the strategies and methods adopted by researchers from various regions and cultural backgrounds in addressing different research questions.This,in turn,promotes academic exchange and international cooperation,further advancing the discipline and refining its knowledge system.［Method/process］ This study focuses on academic papers published over more than three decades (1990-2021) in five high-impact Library and Information Science journals,both in English and Chinese.It employs cross-linguistic text classification methods to automatically categorize the research methods used in these papers.The study compares the frequency and evolution of method usage and the diversity of applicable topics between domestic and international scholars.［Result/conclusion］ The results show that international scholars are increasingly inclined to use qualitative methods,while the use of quantitative methods is decreasing.At the same time,the diversity of applicable topics for most research methods is increasing both domestically and internationally.This research is significant for understanding the development of the Library and Information Science discipline,promoting academic exchange and cooperation,and enhancing the international influence of domestic scholars.

［Purpose/significance］ Revealing emerging research topics with research and development potential in the field of artificial intelligence from conference papers can provide a path to capture the dynamics and future trends.［Method/process］ Establish a dataset for the literature of top international conferences in the field of artificial intelligence,apply the BERTopic model to detect topics,and utilize novelty,growth,and topic strength to comprehensively calculate the emerging potential of each research topic,and evaluate the emerging topics in the field.［Result/conclusion］ The overall development of the field of artificial intelligence is highly dynamic,and the comprehensive calculation considers “Object Detection”,“Federated Continual Learning”,and “Gradient Boosting” to be the most potential emerging topics at present.“3D point cloud”,“audio-vision crossover”,and “AI privacy protection” are promising emerging topics in the future.The research framework proposed in this paper is capable of discovering more current,accurate and interpretable findings with practical feasibility.［Limitations］ we do not carry out comparative research and comprehensive analysis of different neural network language models,and does not have sufficient refinement of data with different focuses within the dataset.In the future,a combination of different models can be utilized to reveal more systematic,targeted,and directional findings.

［Purpose/significance］ While the development and application of AI technology promotes the change of human society,it also destroys the trust between people and technologyExploring the relationship between algorithmic transparency and userperceived trustworthiness can help break down the algorithmic black box,reshape technological trust,and develop usertrustworthy AI［Method/process］ In this study,50 participants were recruited to carry out eyetracking experiments using WeChat moments as the research platform,combining questionnaires and interviews to explore users’ perceived trustworthiness of personalized recommendation ads under different transparency scenarios,to clarify the trust relationship between people and algorithms,and to propose transparency improvement strategies from the perspective of trust［Result/conclusion］ It is found that users’ perceived trustworthiness is affected by factors such as transparency level,the content and structure of transparency,etcWe should develop reasonable,efficient,accessible and comprehensible algorithmic transparency to improve users’ trust and promote the development of trustworthy AI［Limitations］ This study has a single sample source and research perspective,and the subsequent experiments will be scaled up to explore the differences in perceived trustworthiness of different user groups

［Purpose/significance］ From the perspective of symbiosis,we explore the process and mechanism of knowledge co-creation evolution in online health community,which provides reference value for the deepening of knowledge co-creation theoretical research and the optimization of online health services.［Method/process］ Dissect the symbiotic evolution connotation of knowledge co-creation in online health communities,construct a Logistic-based equation model,simulate experiments on the effect of knowledge co-creation in online health communities under the invasion of different interaction modes,growth rates,saturation amounts and off-topic information actors,and introduce real online health community data as a source of data to conduct an example analysis.［Result/conclusion］ Based on the analysis of simulation experiments,online health community knowledge co-creation has seven interaction modes,growth rate and saturation amount have different influence paths,and the intrusion of off-topic information actors has different degrees of impediments to knowledge co-creation;the actual data proves that online health community knowledge co-creation has a symbiotic effect and reveals the real interaction evolution process.［Limitations］ The study only reveals the evolution process of knowledge co-creation from the overall macro perspective,and then reveals the evolution mechanism by comparing the knowledge content of different regions in online health communities.

［Purpose/significance］ Intelligence analysis in the era of intelligence emphasizes quantitative research and speaking with “data”.This article aims to explore the applicable relationship between commonly used data types and intelligence tasks in intelligence analysis,so as to achieve the organization and classification of multiple data.［Method/process］ Starting from the specific types of data and analysis units,this article sorts out the scenarios of different data solving specific tasks in intelligence analysis.［Result/conclusion］ This article provides a detailed explanation of the applicability relationship between seven major categories (26 sub-categories) of data types and six major categories of intelligence tasks (12 sub-categories,30 third-level categories).It finds the characteristics of different types of data and reveals the application trend of multi-source data in current intelligence analysis.

［Purpose/significance］ To comprehend the new changes in the knowledge value chain under the influence of digital intelligence and clarify the theoretical model and essential features of the digital intelligence knowledge value chain.The aim is also to enhance the organization’s knowledge value-added capabilities and competitiveness.［Method/process］ First,the connotation of digital intelligence knowledge value chain is summarized based on the research experience of the academia on knowledge value chain,digital intelligence empowerment,knowledge chain and value chain,and the theoretical model and core features of digitalized knowledge value chain are proposed.Second,the operational mechanisms and intrinsic and extrinsic motivations of the digital intelligence knowledge value chain are summarized to analyze the necessity of digitalized transformation of the knowledge value chain.［Result/conclusion］ Empowered by digital intelligence,the knowledge value chain has new characteristics and operating mechanisms,and the digital transformation of the knowledge value chain has become the key to improving the competitive strength of organizations.

［Purpose/significance］ As an important science and technology information resource in China,science and technology report constantly promotes the development of national science and technology innovation.It is of great significance to construct a fine-grained knowledge map of science and technology report policy and explore its application value to understand,formulate and optimize relevant policies,ensure the quality of science and technology report,improve the work efficiency of science and technology,and promote national science and technology innovation.［Method/process］ Collect and sort out the science and technology report policies in the past decade,dig into the basic information and policy text content,use SciAIEngine,Excel,Gephi and other tools to classify and cluster fine-grained knowledge,and build the fine-grained knowledge map of science and technology report policies.According to the fine-grained knowledge correlation between policies,explore the application value of the map in the policy field of science and technology report.［Result/conclusion］ Fine-grained knowledge map can be used for knowledge query,knowledge statistics and content clustering analysis of science and technology reporting policies,and can also provide a certain basis for policy optimization.In the future,further exploration can be made in the construction of science and technology reporting system,sharing of science and technology resources,intellectual property protection and national science and technology reporting service system.Although this study is insufficient,it still has some help and inspiration for future scholars.

《情报学进展》第15卷经过两年的酝酿终于面世了，由中国国防科学技术信息学会主持出版，《情报理论与实践》编辑部承担选题策划与组织工作。该书是一本反映情报学和信息技术应用领域研究进展的年度评论，涉及一段时期情报学重点领域及前沿热点问题，总结所取得的成果及未来发展趋势。内容上选取在国内外有一定研究成果，或有一定应用的选题，在一定程度上揭示了近年来情报学的研究现状、热点与趋势，利于回顾并引导相关研究。主要内容有：数据计量学的学科构建及其发展趋势、面向国家战略的情报学教育体系建设、公共危机信息管理研究进展与趋势、数智赋能背景下情报学研究进展、国内外算法风险研究进展、数据隐私风险的识别与消减——以医疗数据为例、开放科学时代学术评价研究的新机遇与新挑战——从系列开放获取宣言/倡议或行动计划谈起、人工智能赋能情报研究的变革与发展、数智时代的知识组织研究进展、企业家发现的情报学探索：基于情报学视角的“企业家发现”模型、学科主题探测与演化分析研究述评、2022—2023年情报学前沿进展综述以及2022—2023年度情报学专业动态等。

［Purpose/significance］ Under the background of information technology innovation and government digital transformation,the research volume of“digital government governance” exported by Chinese academia is relatively large,and it is urgent to scientifically organize and review it at this stage to respond to the new requirements of theoretical research for the goal of “government governance moderniazation”［Method/process］ This paper takes 1829 articles on digital government governance included in CNKI database from 2011 to 2023 as the data source,and analyzes the research stage,research keywords,research hot topics and content in the field of digital government governance with the help of the deep learning model BERTopic and the bibliometric method CiteSpace mutual verification,so that the results have high accuracy and strong explanatory nature,and scientifically and effectively detect the theme orientation and characteristicsLooking forward to the future research direction in the field of digital government governance［Result/conclusion］ It is found that the research on digital government governance in China has developed rapidly in the past ten years and has become a hot topic for scholars to exploreThe existing literature research hotspots focus on value orientation,governance model evolution,and technical tool embedding as a wholeThe key themes are “Research on Open Sharing of Government Data”,“Research on Government Service Reform Based on Digital Technology”,“Research on Digital Governance in Urban and Rural Fields”,“Research on Evaluation of Digital Government Governance Level”and “Practical Research on Specific Governance Areas under Digital Transformation”In the future,digital government governance will still be a research field with sustainable expansion space,and will gradually realize the greater reach of digital government governance,precise drip irrigation,integration of multiple disciplines and technical pragmatism

［Purpose/significance］ In the wave of digitization,the digital disadvantaged groups who cannot effectively access digital technology due to subjective and objective reasons often take the action of digital rejection or resistance.It is of great significance to explore the key influencing factors of digital rejection of this group and analyze the current situation and optimization path of digital inclusion policy tools.［Method/process］ Based on the perspective of theory-policy coordination degree,this study adopts meta-ethnography and DEMATEL method to identify the key influencing factors of digital exclusion of the digital disadvantaged groups,using the theory of personal information world.Then content analysis of the current digital inclusion policy focus is carried out,and finally policy optimization paths are proposed.［Result/conclusion］ Nine key factors are identified,including digital literacy,function-requirement matching degree,information infrastructure and volunteer service resources.The theory-policy coordination degree of some influencing factors is relatively low.At the end of the paper,some corresponding policy optimization paths are proposed.

［Purpose/significance］ Driven by modern science and technology,interdisciplinary research has become an important way to solve complex problems and create knowledge in the scientific field［Method/process］ Overview of relevant core concepts,definition of interdisciplinary knowledge diffusion,and comprehensive review from three dimensions:measurement,process characteristics,and influencing factors of interdisciplinary knowledge diffusion［Result/conclusion］ Most existing studies use academic literature as the main data source,and use citation relationship chains to design singledimensional and multidimensional indicators to measure interdisciplinary knowledge diffusion;citation content analysis is currently the main direction for analyzing the diffusion process and characteristicsIn addition,knowledge,subjectivity and environmental factors often have synergistic and variable mechanisms of action on the diffusion process and resultsOn this basis,a conceptual model of influencing factors of interdisciplinary knowledge diffusion is constructed to improve the efficiency and effect of interdisciplinary knowledge diffusionEmpirical research provides new theoretical referencesAlthough the development level of each research direction is basically the same,relevant research methods and data still need to be further enriched and optimizedFuture research should deepen the understanding of the relationship between interdisciplinary and knowledge diffusion to promote the organic combination of interdisciplinary research management and scientific innovation work and keep pace with the development of the big science era

［Purpose/significance］ Explore the combination of productive factors in the data value mining process under the context of new quality productive forces,construct new production relationships,and innovate the information resource service models of enterprisesProvide theoretical and practical guidance for cultivating new quality productive forces in digital enterprises［Method/process］ This study delves deeply into the process of data value mining under the context of new quality productive forces based on the DIKW (Data,Information,Knowledge,Wisdom) value chain theoryIt constructs a framework for innovative service models of enterprise information resources under the context of new quality productive forcesUtilizing a single case study approach,and integrating the data value mining process of China First Automobile Group Corporation (FAW),the study analyzes the optimal combination of productive factors at various stages and new production relationships using both primary and secondary dataIt interprets the innovative information resource service models under the context of new quality productive forces［Result/conclusion］ The results of the case study show that through the information resource service model of humanintelligence cocreation,enterprises can realize the innovative application of smart technology and the systematic cultivation of digital talents;the indepth fusion of data elements and business processes can further promote the highquality development of enterprise technology,production processes,products,and services;the enterprise information resource service model in the process of the formation of new quality productive forces can help enterprises give full play to the role of data elements as the traction of new production factors and provide important support for their allfactor digital transformation and the cultivation of new quality productive forces［Limitations］ However,as this study only analyses a single case,there are certain limitations in the replicability and extensibility of the resultsTherefore,in the future study,we will analyze the innovative practice of the information resource service model in the context of new quality productive forces of enterprises in several industries to have a more comprehensive insight into the innovative service model

［Purpose/significance］ Utilizing knowledge graphs for fine-grained knowledge organization and identifying hot topics in scientific literature is beneficial for researchers to grasp the current status and frontiers of their field.This approach can provide robust support for optimizing the allocation of research resources.［Method/process］ Propose a knowledge graph-based method for topic discovery and hotspot analysis.Firstly,identify knowledge elements in scientific literature and extract semantic entities from these elements for topic discovery.Secondly,construct a “literature-knowledge element-topic” knowledge graph and identify research hotspots in the field through co-occurrence relationship networks within the knowledge graph.Finally,empirical research was conducted using Chinese academic papers in the field of agriculture as experimental data.［Result/conclusion］ The research results indicate that the fine-grained knowledge graph constructed in this study not only reveals the potential associations between scientific knowledge and topics but also accomplishes hotspot analysis of themes in scientific literature.

［Purpose/significance］ Research on academic paper innovation types is not only the premise of analyzing academic paper innovation,but also the basis of identifying and measuring academic paper innovation from content text aspect.［Method/process］ Building upon the explication of the concept and attributes of academic papers,a literature review methodology is employed for summarization and synthesis.The innovation types in individual academic papers are classified from four perspectives:innovation degree,research content,literature structure,and important representation forms.Furthermore,a systematic exploration of the role process of innovation types in individual academic papers is conducted based on time of three dimensions.［Result/conclusion］ After classification,the final results yield three types of innovation degree(disruptive,original,incremental),eight types of research content(theory,viewpoint,theme,problem or object,method,data,conclusion or fact,application),four types of literature structure(basic description,technical methods,results and conclusions,future prospects),and two important representation forms (single element,combinational elements).Subsequently,based on research into innovation types,insights and practical value for evaluating innovation in academic papers are proposed.

［Purpose/significance］ In order to clarify the overall situation,research trend and research hotspots in the field of cluster information security abroad.［Method/process］ Based on the relevant literature published by foreign scholars,this study sorted out,analyzed,and classified the relevant research in this field.［Result/conclusion］ The research summarized the concept of cluster information attack.It summarizes these as three main forms:information cluster,confusion between true and false information and information subject accumulation.Then,the study further explores the new forms of artificial intelligence-generated content (AIGC) technology applied to cluster-based information attacks,such as cluster-based deep forgeries,natural language fabrications,and emotional demagoguery,which are more targeted and destructive,posing a higher challenge to the existing information security defense system.Finally,this paper summarizes the detection and protection strategy of AIGC technology applied to cluster attacks,analyzes the current management pain points of cluster information security problems,and proposes future research trends.

［Purpose/significance］ Starting from the scientific response to major emergencies,gather intelligence wisdom,explore the theory and method of risk perception and prediction of major emergencies,comprehensively improve the ability to perceive the evolution of major emergencies and predict derivative risks,and promote the whole process of major emergencies emergency management with intelligence decisionmaking［Method/process］ Based on the research concept of dual data and knowledge driving,and on the basis of revealing the evolution mechanism of major emergencies by using the theory graph,this paper defines the risk of major emergencies and the risk factors of major emergencies in combination with relevant researches at home and abroad,and constructs the risk transmission link model of major emergenciesThis paper puts forward the specific method and implementation process of sensing and forecasting the risk of major emergencies by using the risk transmission link,and carries out an empirical study based on the “7·4 rainstorm” event in Wanzhou,Chongqing［Result/conclusion］ The empirical study shows that the theory,method and implementation process of risk perception and prediction of major emergencies based on the event evolutionary graph proposed in this study are highly scientific and operable,and can provide intelligence support for relevant emergency management when similar major emergencies occur

［Purpose/significance］ At present,combination of Altmetrics and citation metrics is increasingly becoming a trend of academic influence evaluation on scholars.However,academic potential influence is usually overlooked and interaction between scholars involved in the process of academic dissemination has not yet attracted enough attention in the existing evaluating system.Therefore,it is difficult to meet the needs of comprehensive and accurate evaluation on scholars in the complex information environment.［Method/process］ The Defleur’s Interaction Process Model in the communication science and A-FAST Model in the highly potential talents evaluation theory inspire the research on multidimensional evaluation model of scholars’ academic influence in the perspective of interaction.On the basis of the theories,this paper complements the dimension of potential influence besides the dimensions of professional influence,disseminative influence and societal influence,constructs the multidimensional evaluation model of scholars’ academic influence as well as specific indication system of the four dimensions,and Identifies the applicable scenarios.［Result/conclusion］ According to the constructed multidimensional evaluation model of scholars’ academic influence as well as indication system,evaluating application on the Chinese scholars’ academic influence in the field of graphene is performed and the effectiveness and feasibility of the evaluation model is verified.［Limitations］ Limitations on both the single evaluated base data and the simplified verified scenarios remain to be promoted in the future research.

［Purpose/significance］ Analysis of the evolution of patent technology topics can reveal the technological development trajectory in the subject area,and how to accurately mine it is crucial for enterprises to improve their technological innovation capability.［Method/process］ Along the research line of “technology evolution theoretical framework”→“technology life cycle division”→“technology topic extraction”→“technology topic evolution analysis”,taking the self-constructed database as the data source.Firstly，we divide the technology life cycle based on the Logistics model,and then extract the technology topics by using the LDA topic model and PCA+K-means model respectively,and then analyze the evolution of technology topics from the dimensions of technology topic intensity and technology topic content.Finally,this paper takes the video image processing technology field as an example to verify the validity and applicability of the model.［Result/conclusion］ The research results show that the intelligent model constructed in this paper can mine the popular and emerging topics in the subject area,and the analysis method has practical application value for recognizing and tracing the evolution law of technical topics and then clarifying the development vein of key technologies.