[Purpose/significance] This study aims to clarify the concepts and concept relations between data manage⁃ment and data governance, address the current problems of confusion and misapplication of concepts and provide refer⁃ences for building and improving standard systems for data management and data governance in China, facilitating the adoption and appropriate application of international standards and promoting China's active participation in the formu⁃lation of international rules and standards in the digital field. [Method/process] This paper adopts the text content analysis method and analyzes the definitions of data management and data governance from online databases of ISO,IEC, and ITU-T, in accordance with principles of concept system building in ISO 704:2022. From these definitions, the concept objects, concept characteristics, and types of concept relations of data management and data governance are identified, respectively, and core concept relationship diagrams are constructed. The similarities and differences of con⁃
cepts between the two terms are compared across four dimensions: concept objects, concept characteristics, concept re⁃lations and application levels. [Result/conclusion] Data management involves micro and meso levels and encompasses comprehensive activities including data processing, processes management and value realization; data governance cov⁃ers micro, meso, and macro levels, emphasizing quality management, definition of rights and responsibilities, strategic coordination and policy formulation; both share common concerns about process elements and the realization of data value, presenting an associative relation.

[Purpose/significance] The conceptual connotation of the information cocoon, which is both tangible and in⁃tangible, has led to the bottleneck of inconsistent research conclusions and inability to integrate research results in quantitative methods based on conceptual descriptions. Therefore, abstracting the concept of information cocoon and gradually improving the quantitative methodology system becomes a reasonable choice that conforms to the laws of sci⁃entific development. [Method/process] Starting from the important issue of analyzing the form of information cocoons,this article reviews and summarizes the research results at home and abroad. From the perspectives of metaphorical con⁃cept setting, the possibility of multidimensional forms, ecological fallacies and reductionism in empirical research, and the inability to track the "behavior" of social media users, the reasons for the "formal but intangible" nature of informa⁃tion cocoons and related issues in the field are sorted out, and the necessity of abstracting the concept of information co⁃coons is explained. On this basis, based on the process characteristics of information cocoon formation, a conceptual ab⁃stract model of information cocoon is constructed using complex network domain knowledge, and the method of quanti⁃fying information cocoon through complex network domain knowledge is interpreted from three levels: selection homog⁃enization, content homogenization, and group homogenization. [Result/conclusion] This conceptual abstract model aims to innovatively achieve the first abstraction of the concept of information cocoon based on the connotation of the concept of "being tangible but intangible", forming a scientific, stable, and strongly generalized quantitative method for information cocoon.

[Purpose/significance] Reveal the generation mechanism of privacy leakage risks among users of medical e-commerce platforms and propose corresponding control strategies to enhance user privacy security in the medical ecommerce sector and safeguard user privacy rights. [Method/process] In-depth interview is conducted to collect ini⁃tial data. Using thematic analysis, the MOA and SOR frameworks are integrated to extract the influencing factors of pri⁃vacy leakage risks in medical e-commerce. The interrelations among these factors are mapped out, and a model for the generation and control mechanism of these risks is constructed. [Result/conclusion] Privacy disclosure motivation, pri⁃vacy protection environment, and privacy literacy, as stimuli, all indirectly influence users' privacy risk control behav⁃iors through the mediation of perceived privacy leakage risk. Furthermore, users' privacy cognitive psychology impacts their perception of privacy leakage risk, moderating the relationship between stimuli and perceived privacy leakage risk, as well as between perceived risk and risk control behaviors. Given this, the research proposes a range of data gov⁃ernance and privacy protection strategies from the dual perspectives of government and platform, including establishing a full lifecycle privacy protection mechanism and implementing graded labeling of privacy information.

[Purpose/significance] This article designs targeted scene governance strategies to respond to complex gov⁃ernance needs. It improves the refinement and scenarization level of the governance of deepfake events public opinion information. It breaks through the limitations of the vertical depth and adaptation accuracy of existing governance strate⁃gies. [Method/process] By integrating risk management theory and scenario theory, this article takes the perception of public opinion information risk in deepfake events as the dependent variable, and forgery technology, public aware⁃ness, media dissemination, degree of harm, scope of impact, response capability, and regulatory norms as independent variables. It has constructed a model of influencing factors and causal driving factors for the perception of public opin⁃ion information risk in the AIGC era of deepfake events. [Result/conclusion] In personal privacy events, none of the variables constitute a necessary condition for high-risk perception. This article has obtained 16 configuration paths for
high-risk perception of public opinion information in deepfake events. It has refined three governance models: risk identification scene, risk assessment scene, and risk response scene, and proposed scene governance strategies for deepfake events public opinion information.

[Purpose/significance] This study aims to systematically explore the impact of the group effects of push pullfactors on individual digital hoarding behavior. [Method/process] Drawing on push-pull theory and the MOA framework, this study developed a research model encompassing multi-dimensional factors such as emotional attach⁃ment, fear of missing out, intolerance of uncertainty, technology empowerment, digital information characterization, and social impact. By combining Necessary Condition Analysis (NCA) and Fuzzy-Set Qualitative Comparative Analysis (fsQCA), this study identified the core pathways and grouping patterns influencing digital hoarding behaviors. [Result/conclusion] The formation of individual digital hoarding behavior is jointly influenced by push-pull factors, with three
main pathways identified: the pull-dominant opportunistic motivation type, the push-induced motivational stress type,and the push-pull synergistic capacity-supporting type. Accordingly, this study proposes promoting digital environ⁃ment governance through a synergistic approach encompassing technological regulation, cognitive adaptation, and emo⁃tional guidance, thereby achieving the dual objectives of individual psychological adjustment and information environ⁃ment optimization.

[Purpose/significance] False short videos integrate multimodal content such as images, text, and audio,with their varying content structures potentially influencing the dissemination of short videos by manipulating user trust. Investigating the impact of multimodal content structure manipulation of false short videos on users′ sharing inten⁃sion aids in identifying false short videos and enhances platforms′ capacity to govern false information. [Method/pro⁃cess] Drawing upon SOR theory, this study constructed a research model in the context of false short videos: "informa⁃tion structure-perceived credibility-user attention-user sharing intention". Data was collected through a mixed-meth⁃ods approach combining questionnaires, eye-tracking experiments, and semi-structured interviews. [Result/conclu⁃sion] Users directed greater attention towards text areas than image areas, whilst exhibiting greater variability in atten⁃
tion distribution within image areas. Based on the structural manipulation of false short videos, this study found that the primary-secondary and parallel relationships exert a significant positive influence on perceived accuracy and consis⁃tency, while causal relationships exert a significant negative influence on perceived accuracy. Perceived accuracy ex⁃erts a significant positive influence on text fixation counts, image fixation counts, and image fixation duration. Text fixa⁃tion counts, image fixation counts, and image fixation duration exert a significant positive influence on users′ sharing in⁃tension.

[Purpose/significance] Conflict health information is an important interfering factor in the health informa⁃tion dissemination for the new elderly people. Clarifying the influencing mechanism and role path of conflict health in⁃formation on resistance to persuasion among the new elderly people has important reference value for designing effec⁃tive health information dissemination intervention measures. [Method/process] Based on the person-environment fit theory, this study constructed a multiple serial mediation model to examine the effects of conflict health information on resistance to persuasion. Empirical analysis was conducted through a 2 (conflict health information: conflict vs. nonconflict)×2 (evidence type: non-narrative vs. narrative) between-subjects design, while multi-group analysis and posthoc test was employed to explore the differential effects across different evidence types. [Result/conclusion] Conflict health information indirectly influences resistance to persuasion among the new elderly people; conflict health informa⁃
tion positively affects the information supplies-information needs mismatch and the information demands-information abilities mismatch, and two types of mismatches both result in cognitive dissonance and perceived low efficiency among the new elderly people, which in turn result in resistance to persuasion; compared with non-narrative conflict health in⁃formation, narrative conflict health information result in stronger resistance to persuasion among the new elderly peo⁃ple, and the post-hoc test further showed that narrative conflict health information directly result in active resistance among the new elderly people.

[Purpose/significance] Data element drives the development of the digital economy and national innova⁃tion, and mastering the innovation process of the public data innovation ecosystem is of great significance for continu⁃ously and fully releasing the value of public data element. [Method/process] Based on the perspective of innovation ecosystem and data industry, this paper puts forward the concept of public data innovation ecosystem, analyzes the con⁃notation, components, characteristics, and innovation process of the system, and selects relevant cases to analyze its in⁃novation practice. [Result/conclusion] The public data innovation ecosystem consists of public data, innovation clus⁃ters and the innovation environment in which they are located, and operates in each node of the data industry chain, and the three elements synergize with each other to promote innovation in the allocation of public data resources, product in⁃novation , organizational innovation, technological innovation and market innovation.

[Purpose/significance] The rapid development of Generative Artificial Intelligence (GAI) technology, cou⁃pled with intensifying technological competition between China and the United States, has posed severe challenges to user privacy and data security. The study compares the privacy policies of GAI platforms in both countries, aiming to analyze their characteristics and differences, and provide useful insights for the sustainable and healthy development of AI applications in China. [Method/process] The study selects 20 representative privacy policy texts from GAI plat⁃forms in China and the U.S., employing LDA topic modeling and the PMC index model for quantitative analysis.Through topic extraction and consistency evaluation, it compares the strengths and features of privacy policies in both countries to inform policy optimization in China. [Result/conclusion] The findings show that Chinese platform policies
emphasize government-led design and full-process regulation, while U.S. policies focus more on market orientation, us⁃er autonomy, and legal remedies. Based on this, the study suggests that Chinese AI platforms should shift from a "defen⁃sive compliance" approach to "proactive rule-making", strengthen data lifecycle management, build a sound regulatory framework, and improve mechanisms for protecting user rights and addressing complaints, thereby enhancing the effec⁃tiveness of privacy governance and platform competitiveness.

[Purpose/significance] This study aims to analyze the evolutionary game dynamics governing the dynamic development of public reading spaces, clarify the construction mechanisms and strategies for such spaces, and promote the high-quality development of public reading space. [Method/process] Grounded in evolutionary game theory and a dynamic development perspective, this study incorporates stochastic processes and time delay factors, simulates inter⁃actions among key stakeholders (government, multiple construction subjects, and readers), constructs a tripartite evolu⁃tionary game model, and analyzes the dynamic development mode of the public reading space. [Result/conclusion] The evolutionary game model identifies five distinct dynamic development models within public reading spaces. En⁃hancing the long-term value-added benefits of readers′ capabilities does not significantly alter the entire game system.However, increasing benchmark benefits or simultaneously enhancing short-term and long-term reader benefits facili⁃tates the system′s evolution toward a high-quality construction and connotative management model (the ideal model).Reducing variable costs for multiple construction subjects, increasing reputation dissemination benefits, and deepen⁃ing resource inclination all enable the system to evolve into the ideal model. Increasing penalties for low-quality con⁃struction or boosting industrial quality development benefits, either individually or in combination, can reverse the sys⁃tem toward the ideal model. Additionally, the integration level of public cultural service supply technology positively in⁃fluences the rate of positive evolution by accelerating benefit accumulation and dissemination.