The rapid advancement and deepening integration of digital technologies have fundamentally reshaped the operational ecosystem of the publishing industry. In the era of comprehensive digitalization, the traditional operational models of publishing units are increasingly insufficient to address the evolving demands of new business formats, characterized by the convergence of content forms, the personalization of user needs, and the diversification of market competition. This paper systematically examines the ecological transformations within the publishing industry under digitalization, focusing on three key operational dimensions: content production, product forms, and marketing distribution. These transformations are driven by a confluence of factors, including technological innovation, policy guidance, and shifting market demands. In terms of content production, technologies such as artificial intelligence and big data are reshaping the logic of topic selection, editing, proofreading, and even content generation, facilitating a shift from experience-driven to data-driven approaches and from human-led to human-machine collaboration. Regarding product forms, publications have evolved from static print-based texts into dynamic, interactive, and multimedia digital products, advancing toward immersive experiences through technologies like virtual reality and augmented reality applications. In the realm of marketing and distribution, precision marketing based on the analysis ofuser behavior data is gradually becoming mainstream, while distribution channels have expanded from traditional physical networks to a multidimensional system integrating online and offline platforms with diversified platforms. In response to these ecological shifts, this study proposes a three-dimensional transformation pathway for publishing units, centered on business process reengineering, organizational restructuring, and talent structure optimization. Business process reengineering emphasizes the full digitalization and intensification of workflows, advocating for the establishment of user-centric, data-driven, and networked operational processes. This approach moves beyond linear production to agile, iterative methodologies that enhance efficiency and responsiveness. Organizational restructuring calls for the development of flexible, flat, and cross-departmental collaborative mechanisms. Such structures are designed to dismantle traditional silos, foster innovation, and support rapid iteration and experimentation, enabling seamless coordination across functions to adapt to dynamic market conditions and technological advancements. Talent structure optimization highlights the critical need to cultivate and attract interdisciplinary professionals with both content expertise and technical proficiency. Emerging roles such as product managers, data analysts, and user operations specialists are essential to bridging the gap between traditional publishing competencies and digital innovation demands. Furthermore, strategic leadership with a vision for integrating technology and content is paramount to guiding sustainable transformation. In conclusion, this paper provides a comprehensive and practical framework to support traditional publishing units in their strategic and operational evolution within the digital landscape. By addressing these core dimensions of processes, organization, and talent, publishing units can transition from traditional content providers to dynamic builders of knowledge service ecosystems, thereby enhancing their competitiveness and ensuring sustainable development in the digital age.

Publication ethics represents the institutional embodiment of research integrity within academic publishing. Its fundamental goal is to safeguard the authenticity and fairness of scientific outputs. With the rapid development of artificial intelligence generated content (AIGC), the academic publishing ecosystem is undergoing profound transformation. While AIGC offers unprecedented efficiency and innovation, it also introduces new ethical risks, such as the blurring of authorship responsibility, increasingly realistic fabrication of data and images, and the intelligent automation of plagiarism and textual manipulation. These emerging challenges have exposed several weaknesses in China’s academic journal system, including insufficient regulatory coverage, delayed detection mechanisms, and limited accountability tracing in the construction of publication ethics. Taking the AIGC context as the point of departure, this paper systematically analyzes the new characteristics of academic misconduct and the practical dilemmas faced by scholarly journals in ethical governance. It then proposes a three-dimensional pathway for improvement—through institutional, technological, and educational-cultural perspectives. At the institutional level, it is crucial to strengthen alignment with national research integrity policies, refine authorship and disclosure standards, and establish comprehensive systems for detecting misconduct and enforcing accountability. Furthermore, cross-journal and cross-disciplinary collaboration should be promoted to enhance collective governance capabilities and ensure consistent ethical standards across the publishing ecosystem. At the technological level, journals should develop and implement multimodal detection platforms capable of identifying AI-generated or manipulated content in text, data, and images. Pilot projects in high-risk disciplines—such as biomedical sciences, computer vision, and social data analytics—should focus on verification of results and sharing of information on suspected misconduct. The integration of AI-assisted forensic tools and blockchain-based record-keeping may further enhance transparency and traceability throughout the publication process. At the educational and cultural level, differentiated ethical training programs should be implemented for key stakeholders, including graduate students, editors, and peer reviewers. These programs should emphasize the identification of AIGC-related risks, the responsible use of AI tools, and adherence to publication integrity principles. By cultivating a shared culture of ethical awareness and professional accountability, journals can move beyond reactive regulation toward proactive ethical governance. This study argues that only through the synergistic interaction of institutional constraints, technological support, and cultural guidance can the publishing community effectively address the ethical challenges posed by AIGC. This multidimensional approach will not only help preserve the credibility and integrity of academic publishing but also provide sustainable support for the broader construction of a national research integrity system. In the era of intelligent content generation, reinforcing publication ethics is no longer a peripheral concern but a foundational requirement for ensuring that scholarly communication continues to serve truth, transparency, and public trust.

The digital-intelligent transformation of educational publishing constitutes a systemic reconstruction across legal, ethical, organizational, and technological dimensions. This study addresses the core dilemma confronting K–12 educational publishing institutions: leveraging data-driven approaches to deliver precise and personalized educational services while rigorously safeguarding the privacy of minors—a legally protected category of "sensitive personal information." Employing a "Problem-Attribution-Solution" analytical framework, the research conducts a systematic investigation. By integrating textual analysis of key legal provisions (such as China' s Personal Information Protection Law and Minors Protection Law), scrutiny of industry practices, and feasibility assessments of emerging privacy-enhancing technologies and service models, this paper moves beyond superficial descriptions to provide an in-depth, multi-faceted analysis. The study first delineates the concrete manifestations of this dilemma, revealing inherent conflicts between the scope of data collection and the minimum necessity principle, between deep data utilization and the purpose limitation principle, between rising technical compliance costs and unsustainable profit models, and between agile business development and rigorous compliance procedures. It then diagnoses three critical capability gaps within publishing institutions that underlie these conflicts: (1) an "easier said than done" gap in legal cognition, wherein abstract principles fail to translate into operational rules; (2) a significant technical capability deficit, where legacy systems and the absence of robust data governance frameworks impede secure data handling and the adoption of Privacy-Enhancing Technologies (PETs); and (3) a management system void, characterized by the absence of dedicated roles, comprehensive internal policies, and inadequate oversight of third-party partners. As the core outcome, this paper constructs and elaborates a novel, integrated "Management-Technology-Content" trinity governance framework as a strategic pathway forward—one that embeds the "Privacy by Design (PbD)" principle, a core tenet emphasized in the research, into the entire digital-intelligent transformation process. This framework advocates for proactive, systemic change: Management-wise, it proposes establishing a privacy-first governance architecture with dedicated leadership (e.g., a Data Protection Officer), clear internal ethical guidelines, full-lifecycle data policies, and user-friendly transparency mechanisms. Technology-wise, it evaluates the deployment and application of key PETs—including data masking, strict anonymization, federated learning, and differential privacy—analyzing their operational mechanics, suitability for educational scenarios, and inherent trade-offs. Content-wise, it pioneers a paradigm shift toward service models with low dependency on sensitive personal data, such as modular "knowledge components" libraries for user-led navigation, explicit interactive feedback replacing implicit behavioral monitoring, context-aware marketing based on group trends, and exploration of "data trusteeship" collaborations with authorized third-party platforms. This research concludes that sustainable transformation requires a fundamental rethinking of data value—shifting from exploiting data for predictive control to utilizing it to support learner autonomy and educational equity. The proposed holistic framework aims to provide a theoretically grounded and practically actionable guide for educational publishers to navigate the dual imperatives of innovation and compliance, thereby fostering a responsible, trustworthy, and ethically sound ecosystem for digital-intelligent development in education. The findings underscore that the future lies not in deeper data mining but in building respectful, low-dependency, and trustworthy service paradigms.

The Chinese-language journals included in the Phase Ⅱ of the Excellence Action Plan for China’s Scientific, Technical and Medical (STM) Journals (EAP) are investigated by analyzing their video abstract presence on social media platforms, particularly WeChat video accounts. This paper evaluates the communication effectiveness of video abstracts using the WeChat Video Accounts Clout Index (WVCI) and quantifiable data, investigates how content features influence communication impact through regression analysis, and proposes optimization strategies for Chinese STM journals’ video abstracts. The results show that merely 18% of Chinese-language STM journals have published video abstracts on social media, with platform usage showing an upward trend from 2020 to 2024, WeChat video accounts being the most prevalent. Journals publishing on multiple platforms demonstrate minimal variation in release timing and content consistency. In 2024, only 5 accounts published more than 50 video abstracts, while 41% (9 accounts) published fewer than 10, indicating generally low production volumes. Regarding performance metrics, only 9.09% of journal video accounts achieved WVCI scores exceeding 500, with the highest value (540.26) approximately six times greater than the lowest (88.17). While video abstracts demonstrate communication advantages compared to non-video content, their presentation remains relatively basic. Communication effectiveness is primarily influenced by production mode, narration style, and video duration. Interview-format videos show superior communication impact, while author narration negatively affects engagement. Videos lasting 3~5 minutes demonstrate a better communication effect. Whether the video has background music or whether the video title is only the title of the paper has no significant impact on the communication effect. As a multimodal form of academic communication, video abstracts help improve the communication efficiency of academic achievements and enhance the influence of STM journals and their papers. Chinese-language STM journals should prioritize video abstract implementation, carefully selecting operational approaches, diversifying presentation formats, strengthening cross-platform promotion, tailoring content for different social media audiences, and leveraging emerging AI technologies for efficient video creation. This paper analyzes the current practices, dissemination effectiveness, and influencing factors of video abstracts in Chinese standalone journals selected for the "Excellence Phase Ⅱ" program. It identifies existing issues and proposes targeted strategies to enhance the impact of video abstracts, including:prioritizing video abstract quality,;selecting appropriate operational models, enriching video abstract formats, strengthening cross-platform romotional synergy, implementing platform-specific targeted promotion based on user demographics.These recommendations aim to provide insights for the application and promotion of video abstracts in Chinese scientific journals.

Based on the practical progress and internal logic of artificial intelligence generated content (AIGC) empowering digital publishing, this study constructs a digital publishing industry chain resilience evaluation model encompassing five key elements: structural links, resilience attributes, resilience sources, institutional guarantees, and resilience levels. The model aims to provide theoretical support and analytical tools for the scientific identification, precise assessment, and systematic enhancement of industry chain resilience in the context of deep AIGC integration and accelerated industry restructuring. It emphasizes the dynamic collaborative evolution among these elements, addressing limitations of current resilience research that often rely excessively on physical boundaries, focuses on a single capital-driven approach, and neglects institutional factors. As such, the model provides a more integrated explanatory perspective for current industry chain resilience research. AIGC is profoundly reshaping the links in the digital publishing chain by overcoming temporal and multi-party constraints, enabling individual entities to complete publishing process anytime and anywhere. This promotes efficient coordination and integration across different links, thereby enhancing the resilience of the industry chain. AIGC also introduces cross-link risks such as copyright disputes, information silos, and user data breaches—that, if accumulated and propagated, may disrupt the operational rhythm of the chain and weaken its resilience. Therefore, a dedicated evaluation model is urgently needed to assess AIGC's dual impact on industrial chain resilience. Existing resilience models are primarily based on either the ecological dynamics-inspired four attributes (4R: robustness, redundancy, adaptability, and rapidity) framework or the sustainable livelihoods-oriented five capitals (5C: human, social, natural, physical, and financial capitals) system, both of which are better suited to traditional industrial chains with clear physical boundaries. Even studies that attempt to integrate 4R and 5C commonly overlook the critical role of legal and policy-related institutional factors. In contrast, digital publishing centers on virtual information space while relying on physical infrastructure for support, resulting in highly blurred boundaries between dynamic and static elements. Moreover, as a key vehicle for ideological dissemination, it carries distinct political attributes and cultural security responsibilities. Consequently, legal and policy-based institutional safeguards are not merely external environmental variables but have become structural elements embedded within the operation of the digital publishing industry chain as well as endogenous variables directly shaping its resilience. To address these gaps, this study proposes a "3L+4R+5C+G+3Le" resilience evaluation model for the digital publishing industry chain. It defines three links (3L): content production, channel distribution, and user consumption, and analyzes the influence of the 5C on resilience. Legal, policy, and other institutional safeguards (G) serve as an endogenous foundation spanning the entire chain. Resilience performance is characterized through 4R. Finally, through weighting and comprehensive measurement, resilience is classified into three levels (3Le: high, medium, and low). This model represents a conceptual shift from "structural analysis" to "state identification, " transforming industrial chain resilience from an abstract notion into an assessable and manageable strategic capability. Future research should focus on developing resilience indicators and exploring pathways to enhance resilience in the digital publishing industry chain.

This article employs an integrated methodology that combines quantitative and qualitative research, unifies theory and practice, and reconciles facts with values, to conduct an in-depth analysis of the issues pertaining to journal quality. It investigates the phenomena of ethical misconduct within these quality problems and explores the underlying causes for such ethical lapses among publishing stakeholders. Consequently, it offers reflections on pathways for constructing moral norms for these entities. Journal quality encompasses four key dimensions: content, editing and proofreading, publication format, and printing quality. A deficiency in any of these areas can result in substandard journal quality. Underlying these quality issues are often instances of ethical misconduct by publishing stakeholders. Content quality problems reflect scientific integrity breaches and responsibility shirking; editing and proofreading issues indicate weakened political awareness and responsibility dependency; while problems with publication format and printing quality point to profit-driven motives and the neglect of responsibility. Such ethical misconduct can significantly impact journal quality, potentially leading to the publication of articles containing errors in political direction, public opinion guidance, value orientation, or numerous textual inaccuracies. The publishing stakeholders involved in these ethical issues primarily include authors, peer reviewers, editors-in-chief, editors, proofreaders, designers, and printers. Analyzing the reasons behind these ethical failures is crucial for establishing practical moral norms for publishing stakeholders. The primary causes of ethical misconduct among publishing stakeholders include institutional gaps, external environmental pressures, challenges posed by artificial intelligence (AI), and conflicts in moral decision-making. Institutional norms that are ambiguous and weakly enforced, the utilitarian orientation and a crisis of trust induced by environmental pressures, and the challenges of emerging AI technologies leading to misuse and blurred ethical boundaries are primarily objective factors. Conversely, subjective factors predominantly involve conflicts in moral decision-making, including the stakeholders' cognitive biases regarding their roles, conflicts in behavioral motivations, and the weakening of moral self-discipline. Establishing comprehensive moral norms for publishing stakeholders and facilitating their internalization into self-regulatory practices are pivotal to enhancing journal quality. The construction of moral norms for publishing stakeholders should, first and foremost, establish a solid ethical foundation by clarifying the core principles and value orientations of these norms. The formulation of such norms must align with the core socialist values, conform to fundamental professional ethics in China, and promote the nation' s fine traditional virtues. Second, institutional support must be strengthened through enhanced heteronomous regulations and external constraints. This requires concerted efforts from various actors within the publishing industry, including national and provincial publishing administration departments, the supervising and sponsoring institutions of journals, publishing units, authors' institutions, and industry associations. Third, it is essential to stimulate endogenous motivation by fostering the self-cultivation of moral autonomy and cultural consciousness among publishing stakeholders. This involves a commitment to continuous learning and self-renewal, enhancement of professional dedication and personal integrity, practice of the unity of knowledge and action, and adherence to the principle that literature should convey truth and morality. Through these approaches, an organic unity of external regulation and internal self-discipline can be achieved, thereby promoting the sustained improvement of journal quality.

Scientific, technical and medical (STM) journals serve as vital platforms for disseminating scientific knowledge and advancing technological innovation. However, due to various negative factors, the publishing environment for Chinese STM journals has deteriorated, significantly restricting their sustainable development. It is evident that STM journals do not exist in isolation; rather, the publishing environment plays a crucial role in their growth and survival. Ecology, as a discipline, examines the interrelationships among organisms and between organisms and their environment. Publishing ecology extends these ecological theories to the study of publishing systems, serving as an interdisciplinary framework that investigates the laws and mechanisms governing the interactions between publishing media and the environmental factors influencing their survival and development. From the perspective of publishing ecology, this study first elaborates on the interdependent and interactive relationship between STM journals and their publishing environment. It then examines current challenges that STM journals are facing, including the distortion of the academic evaluation system, inadequate enforcement of the peer review system, decentralized journal management structures, and deficiencies in the journal evaluation system. Finally, four ecological construction strategies are proposed to restore balance and promote sustainability: (1) Strengthen enforcement of the peer review system and rigorously verify issues related to research integrity and publication ethics. Adhere strictly to peer review system, ensuring fairness, transparency, and accountability. Reform the academic evaluation system to refocus on the original intention of scholarly inquiry and cultivate a healthy academic ecosystem; (2) Encourage constructive competition among journals, adopt ecological niche strategies, clearly define their positioning, highlight the characteristics and branding of the publications, and develop their own unique competitive advantages. Simultaneously, foster collaboration among journals, follow the path of group development, and build a favorable industry ecosystem; (3) The national publishing administrative authorities should leverage their role in macro-regulation by improving the journal management system and strengthening oversight of journal publishing activities. Establish a scientifically sound and balanced journal evaluation system that comprehensively evaluate journal quality, thereby cultivating a supportive institutional ecosystem; (4) Utilize new media platforms—such as WeChat official accounts and video accounts —to expand dissemination channels, enrich content formats, and improve accessibility for authors and readers. Focus on cutting-edge developments within disciplinary fields, identify emerging research hotspots, and promptly publish breakthrough academic achievements and report the latest development trends of various disciplines, and enhance the journal' s role in disciplinary development. Centering on the major demands and technical challenges of the national economic development, we should carry out thematic planning in a guiding manner to provide a knowledge foundation for breaking through "bottleneck" technologies, and enhancing the journal' s capacity to serve societal needs, thus building a robust service ecosystem. Collectively, these strategies aim to foster harmonious development of STM journals and their publishing environment, offering theoretical insights and practical guidance for promoting the sustainable development of Chinese STM journals and enhancing their academic influence globally.

Generative artificial intelligence (AI) is profoundly reshaping education publishing. This paper, amid deep AI-publishing integration, adopts a multi-dimensional approach (theoretical analysis, case studies, and industry reviews) to examine its impacts, analyzing challenges, opportunities, and transformation pathways through leading publishers’ experiences. The methodology of this paper comprises a theoretical deconstruction of the interaction between generative AI and education publishing, establishing an analytical framework encompassing content production, knowledge dissemination, teaching models, and textbook functions. In-depth case studies of representative entities are conducted, including Higher Education Press, People’s Communications Publishing House, Springer Nature, and Microsoft’s phi-1 model development project, to examine specific impacts and adaptive strategies, while incorporating industry trend analysis based on policy documents, market data, and technological whitepapers to contextualize transformation dynamics. The challenges presented by generative AI manifest in four primary disruptions: transforming content production processes through intelligent writing tools that reshape the entire chain from topic selection and content creation to editing and proofreading; restructuring knowledge dissemination channels from one-way paper-based transmission to an open networked structure driven by intelligent algorithms enabling personalized content delivery based on user portraits; deconstructing traditional teaching models as the popularization of higher education increases demand for personalized learning, challenging "one-size-fits-all" static textbooks; and impacting the fundamental status of textbooks, with declining reliance on paper materials due to their slow update cycles compared to rapid iteration of cutting-edge knowledge. Amid these challenges, three key opportunities emerge: the digital reconstruction of knowledge value, where high-quality educational content accumulated by publishing institutions becomes scarce data assets for training professional AI models; the intelligent enhancement of educational services, as AI transcends traditional textbook limitations to enable knowledge graph-based personalized learning; and the platform-based reconstruction of industry ecology, with educational publishing shifting from a single content provider to a smart learning service provider covering the entire process of "teaching, learning, assessment, management, and research." To address these dynamics, this paper proposes a transformation path from content provider to smart learning service provider involving four dimensions: positioning calibration (adhering to educational values with AI-human dual review mechanisms), scenario innovation (building a "teacher-student-machine" tripartite collaborative learning paradigm), content upgrading (promoting knowledge datafication and assetization), and capability iteration (cultivating interdisciplinary digital teams). Taking Higher Education Press as a case study, this paper illustrates practices in strategic alignment (linking transformation to national strategies), organizational adjustment (breaking departmental barriers), technological empowerment (developing the LOVONG large model and multi-modal corpus), and product innovation (extending digital textbooks to full-process educational services, such as the "Artificial Intelligence Teaching Public Service Open Zone" on the National Smart Education Platform 2.0). Finally, this paper proposes policy support and data governance measures, including formulating policies for AI-publishing integration, establishing certification systems for high-quality datasets, and promoting collaboration among publishers, AI enterprises, and educational institutions. These findings, derived from integrated research methods, provide both theoretical and practical guidance for developing a new ecosystem of education publishing in the AI era.

Data elements are the data resources that people invest in the production of goods or services, and they create value in various business scenarios through aggregation, integration, and collaboration. Since China first explicitly listed data as a production factor in 2019, highlighting its function and status as a new type of production factor, it has become a consensus that data elements are an important component of new quality productivity in the digital intelligence era and a fundamental resource for creating value. The value creation of publishing enterprises refers to the process by which enterprises create economic and social value by providing knowledge products or services, and it is the core driving force for the existence and development of enterprises. Data elements are closely related to modern enterprises and are an important resource driving the value creation. As data-intensive enterprises, the role of data in publishing companies is becoming increasingly important. Specifically, data elements are the fundamental elements for the digital transformation and integrated development of publishing enterprises in the digital intelligence era. They empower publishing enterprises to create social, economic, and innovative value with their unique characteristics. The mechanism by which data elements empower the value creation of publishing enterprises lies in the exertion of their innovation mechanism, collaboration mechanism and predictive mechanism. However, current practical predicament of data elements empowering the value creation of publishing enterprises in China is reflected to varying degrees in the ontological, subject and environmental aspects of the value creation of data elements. To address these challenges, efforts should be made in three aspects: standardizing and balancing the collection and effective utilization of publishing data elements; establishing a data concept among publishing enterprises, setting up a publishing data system and enhancing the level of value transformation, as well as improving data security system guarantees, increasing infrastructure investment and strengthening data technology capabilities. These measures will further enhance the value creation capacity of publishing enterprises. In conclusion, the integration of data elements into the deep integration of publishing not only reshapes the production processes of publishing enterprises and enhances production efficiency, but also provides a powerful data-driven force for the creation of publishing value. Publishing data elements are leading the publishing industry towards a brand-new stage of digital transformation and deep integration with unprecedented power, thus making the collection, integration and mining of publishing data elements a new paradigm and new driving force for the creation of publishing value. Therefore, delving deeply into the underlying logic of how data elements empower the value creation of publishing enterprises, and recognizing the practical challenges and relief pathways associated with the role and value of data elements in the knowledge production, knowledge services, and business management activities of publishing enterprises, undoubtedly becomes an urgent issue that publishing enterprises need to solve to develop new-quality productive forces and achieve high-quality development.

Short video platforms have developed as pivotal arenas for academic communication and public engagement. Consequently, a growing number of academic journals have established official accounts on these platforms to disseminate research outputs and enhance public visibility. This trend has attracted considerable scholarly attention, with existing studies mainly focusing on science and technology journals. In contrast, the digital practices of social science journals on short video platforms remain largely unexplored. This study therefore aims to develop a comprehensive analytical framework for digital narratives that integrates subject, mechanism, and effect, and applies it to a multi-platform "narrative field" encompassing the top 30 CSSCI journals ranked by WeChat public accounts dissemination data. A cross-platform comparative analysis is conducted using data collected from WeChat Channels, Bilibili, and Douyin. This study conceptualizes the dissemination as a complex system with three elements: the dynamics primarily driven by the authority and credibility of the accounts, the specific translation pathways and stylistic narrative strategies employed in the process, and the audience reception and engagement. The first element is related to audience attention, the second one determines the depth and sustainability of audience engagement, and the third one refers to audience feedback and dissemination effectiveness. Together, these elements form a dynamic "content-context-feedback" chain. Narrative subjects employ distinct discourse to reconstruct academic authority and garner attention. They utilize various narrative mechanisms to encode and recode academic content, balancing comprehensibility with scholarly credibility. Simultaneously, platform algorithms modulate the visibility and interactivity of academic short videos. This study reveals several bottlenecks in current digital practices of social science journals. Regarding narrative subjects, there is a notable lack of official verification, compromising the perceived credibility. The narrative process often fails to provide deep interpretation of academic content in some circumstances, and the current dissemination strategies are highly homogenized. Concerning the narrative effect, user feedback remains sparse, and audience stickiness is weak. Enhancing the effectiveness of the digital narrative practices needs a concerted endeavour. We suggest that social science journals pursue a further overall improvement across three core elements: authority, comprehensibility, and effectiveness. This necessitates strengthening the authority of the narrative subjects, diversifying the dissemination strategies, enhancing the innovation and differentiation of narrative mechanisms, encouraging audience participation through a combination of expert-generated-content and user-generated-content and developing an agreeable framework to measure the conversion of platform traffic into knowledge adoption, including journal subscriptions and citations. In conclusion, this study shows that the interrelationship between subject and audience has the potential to be a significant perspective in analyzing the digital transformation of social science knowledge and ideologies. We suggest that social science journals develop a diversified cross-media portfolio of strategies: print publications to ensure academic depth, WeChat official accounts to increase visibility, and short video platforms to broaden social reach—thereby achieving both greater depth and expanded breadth. This study advances theoretical and empirical understandings of digital publishing and provides actionable guidance for social science journals to cultivate a sustainable and recognizable knowledge brand on short video platforms.

The rapid advancement of generative artificial intelligence (AIGC) is profoundly reshaping the entire academic production chain, offering unprecedented efficiency gains while introducing significant ethical challenges. This article synthesizes insights from seven leading experts across diverse fields—including computer science, law, information science, and publishing— to explore the transformative impact of artificial intelligence (AI) on academic creativity from three dimensions: technological implementation, ethical and normative reconstruction, and future ecosystem development. From a technological perspective, AI is evolving from a mere tool to an active "collaborator." As Li Xiu (Tsinghua University) argues, based on Bloom's Taxonomy, AI efficiently handles lower-order cognitive tasks (e.g., information retrieval, terminology translation, and case enumeration), freeing researchers to focus on higher-order tasks such as analysis, evaluation, and creativity. This "cognitive co-evolution" between humans and AI represents a paradigm shift in academic work. Shen Xibin (Chinese Medical Journals Publishing House Co., Ltd.) further emphasizes AI's role as a "thinking partner" that expedites writing and enhances logical coherence, while Liu Li (Zhipu AI) notes its expanding utility across research ideation, literature review, data visualization, and manuscript polishing. However, these advancements bring critical ethical dilemmas. Wang Qian (East China University of Political Science and Law) demonstrates through empirical testing that AI can generate academically plausible yet ethically problematic content—including fabricated citations and data—raising questions about authorship accountability. The distinction between "AI-generated" and "AI-assisted" content, as defined by the World Intellectual Property Organization (WIPO), becomes crucial in determining academic integrity. Internationally, organizations such as COPE and ICMJE discourage attributing authorship to AI but advocate for transparent disclosure of its use. Yet, as Xu Lifang (Wuhan University) warns, the proliferation of AI-generated fraudulent papers in sensitive fields like health and environment undermines the evidence base of public knowledge. The governance of AI in academia requires a balanced approach. Xu proposes a "moderate regulation" model that avoids the pitfalls of outright prohibition (which stifles innovation) and privileged access (which exacerbate inequities). Instead, she advocates for dynamic, risk-based governance—e.g., pre-approval ethical reviews for high-risk fields like gene editing, sandbox testing for clinical applications, and traceable AI-use reporting in publishing. Zhang Xin (Society of China University Journals) adds that while over 24% of major global publishers have issued AI-use guidelines, detection technologies remain immature, with an average accuracy of only 50-60% in identifying AI-generated text. Looking ahead, AI is poised to further integrate into academic workflows, enabling personalized research assistance, cross-lingual "secondary creation, " and intelligent academic search engines. However, as Chu Jingli (Chinese Academy of Sciences) emphasizes, AI cannot replace human creativity—the core of academic research. The future ecosystem must be one of "human-AI symbiosis, " where humans remain ultimately responsible for steering research direction, ensuring ethical standards, and exercising critical judgment. In conclusion, this article calls for a collaborative effort among researchers, publishers, AI developers, and policymakers to build a responsible academic ecosystem—one that embraces AI's efficiency while safeguarding integrity through robust governance, transparency, and continuous human oversight.

A competency map is a visual graphic used to present the progression and structural relationships of vocational competencies. Leveraging digital technology, it describes the connotative elements, related resources, and their carriers of vocational competencies, playing a significant role in mining, analyzing, constructing, mapping, and displaying multilevel vocational competencies and their interrelationships. Currently, competency maps have become a key technology for promoting the digital transformation of vocational education in the era of artificial intelligence and serve as a core instrument in the development of digital textbooks in vocational education. Employing research methods such as literature analysis and logical reasoning, this study focuses on the dynamic mechanisms and practical obstacles in the competency map-driven construction of digital textbooks in vocational education, aiming to propose targeted implementation pathways. The driving forces behind competency map-driven construction of digital textbooks in vocational education are diverse and hierarchical, covering three dimensions: institutional, practical, and technological dynamics. Specifically, in terms of institutional dynamics, a series of policies guide the development of digital textbooks in vocational education; in terms of practical dynamics, digital transformation facilitates the development of digital textbooks in vocational education; in terms of technological dynamics, cutting-edge technologies empower the upgrading of digital textbooks in vocational education. However, in practical application processes, due to challenges such as ambiguous teaching objectives, high difficulty in content integration, significant disparities among teaching modules, and excessive technological intervention in vocational education digital textbooks, the driving process of competency maps faces practical obstacles including impacting the cultivation of students' vocational literacy, hindering the construction of students' knowledge systems, obstructing students' holistic grasp of knowledge and skills, and affecting positive teacher-student interaction and emotional connection. Therefore, four strategic pathways are proposed to promote the implementation pathways for competency map-driven construction of digital textbooks in vocational education. First, anchor vocational literacy development by setting clear teaching objectives for vocational education digital textbooks. Second, construct a vocational education knowledge system by developing systematic content for vocational education digital textbooks. Third, efficiently integrate learning resources to develop blended teaching modules for vocational education digital textbooks. Fourth, strengthen teacher-student teaching interaction and optimize the technology-driven mechanism of vocational education digital textbooks.

This study presents a systematic evaluation of DeepSeek, a cutting-edge Chinese-developed large language model (LLM), focusing on its application in editing and refining Chinese-language abstracts for medical journals. It employed a comprehensive methodology, analyzing 60 medical research abstracts from the Journal of Jilin University (Medical Edition). These texts were processed using DeepSeek-R1, the latest version of the model released in January 2025, which was specifically integrated into Microsoft Word to simulate practical editorial workflows. To ensure methodological rigor, this study implemented a dual evaluation framework combining quantitative metrics with qualitative expert assessments conducted by three senior medical editors with extensive publishing experience. In terms of basic language refinement, the model demonstrated remarkable proficiency, accurately identifying and correcting grammatical errors in 95% of cases compared to benchmarks set by human editors. It performed particularly well in handling complex Chinese sentence structures, including resolving issues with subject-verb agreement, proper comma usage, and logical coherence. Moreover, the model exhibited strong performance in language simplification, reducing wordiness by 44.7% across the test corpus while preserving essential meaning, a capability that could substantially improve the clarity and accessibility of medical research reporting. However, the evaluation also revealed critical limitations that currently restrict DeepSeek's utility for comprehensive medical editing. Notably, the model struggled with domain-specific challenges, achieving only 22.4% accuracy in standardizing domain-specific medical terminology. Several technical factors underlying these limitations were identified. First, the model's training data appears insufficient to comprehensively cover the full spectrum of medical sub-specialties and their evolving terminologies. Second, DeepSeek exhibits constrained ability to contextualize information within the rigorous framework of medical research reporting, occasionally prioritizing linguistic fluency over scientific precision. Third, the analysis suggests that the model has difficulty keeping pace with rapid advancements in medical science, occasionally providing outdated terminology or conceptual frameworks. Despite these limitations, the model's processing speed, approximately 20 times faster than human editors, positions it as a transformative tool for revolutionizing manuscript turnaround times, particularly during periods of high submission volume. Its consistent performance in fundamental language polishing suggests valuable applications for initial manuscript screening and formatting standardization. A tiered editorial workflow is recommended, where DeepSeek handles initial language refinement and formatting, followed by specialized human editors focusing on content validation and scientific accuracy. To maximize future potential of the model, three key development directions are proposed: (1) expanding medical domain-specific training data, particularly for emerging specialties and technologies; (2) developing hybrid models that integrate linguistic analysis with medical knowledge graphs; and (3) creating customizable modules that journals can adapt to their specific stylistic and terminological requirements. These findings.

The pathways and implementation strategies for scientific, technical, and medical (STM) journals to effectively facilitate the transformation of scientific research achievements are investigated, with a focus on resolving the disconnect between demand and service in the innovation chain and bridging the gap between "paper-based achievements" (research papers) and "production lines" (industrial application). Through literature review, data analysis, and in-depth case studies, it elucidates the functional role of STM journals in achievement transformation and proposes actionable tactics to enhance their service capabilities. This paper identifies three core functions of STM journals in driving transformation. First, as a foundational platform for knowledge dissemination and scientific validation, they authenticate the scientific rigor of research outputs through rigorous peer review, laying a credible groundwork for industrial adoption. Second, as a value-identification tool, their interdisciplinary editorial and review teams, comprising clinical specialists, industry consultants, and researchers, excavate the application potential of achievements, emphasizing economic and societal impact. Third, as a connectivity hub for industry-academia-research collaboration, they organize academic forums, showcase transformation cases, and enable the sequential transformation of "basic research—application development—industrial implementation". Nevertheless, three critical bottlenecks are pinpointed. First, fragmented academic evaluation systems prioritize citation metrics and journal impact factors over transformation potential, resulting in a national scientific research patent conversion rate of merely 6% and a university invention patent industrialization rate of 3.9%. Second, journals lack robust information screening and matchmaking mechanisms: most fail to integrate "clinical—research—industry" needs or specify application scenarios, causing an average 5-year lag between academic publications and industrialization. Third, traditional journals operate solely as "paper publishers" rather than "knowledge hubs, " failing to foster a collaborative ecosystem balancing the "academic prestige focus" of research institutions and the "commercial viability focus" of enterprises. To address these challenges, five targeted solutions are proposed: refine content positioning by incorporating "technology transformation columns" (e.g., Chinese Medical Journal tracking COVID-19 miRNA diagnostic markers) and establishing a "clinical-research-industry" topic linkage mechanism, exemplified by Cancer Pathogenesis and Therapy (CPT) curating interdisciplinary themes; strengthen service capacities via a "basic research + application value" dual-track review framework (adopted by The New England Journal of Medicine) and interdisciplinary editorial boards with clinical, industry, and regulatory experts; build collaborative platforms featuring online transformation zones (e.g., CPT planning an "anti-cancer technology transfer" section) and offline technical matchmaking symposia; advance internationalization through joint special issues with global journals and engagement in worldwide technology networks; and enhance evaluation protocols by monitoring transformation outcomes (e.g., patent acquisition, Regulatory Approval). In conclusion, STM journals must evolve from "paper disseminators" to "knowledge hubs", effectively connecting laboratories and production lines. This evolution accelerates the transformation of scientific research achievements while contributing to the cultivation of new quality productive forces, aligning with national strategies to integrate innovation and industrial progression and operationalizing the principle that "scientists should write the paper on the land of our country" and apply technological achievements to modernization.

In recent years, policies such as the "China’s Science and Technology Journal Excellence Action Plan " have significantly advanced the development of editorial talent. However, professional challenges remain, including the lack of dedicated national awards, fragmented incentive mechanisms, and insufficient personalized training opportunities. International organizations such as the International Association of Scientific, Technical and Medical Publishers (STM) and publishers like Elsevier have established multi-level training ecosystems through professional certification programs, cross-border mentorship networks, and technology collaboration platforms—offering valuable insights for cultivating editorial talent within China’s scientific, technical and medical journal community.In this study, we investigate the challenges in nurturing young editorial talent for China's scientific, technical and medical journals by examining relevant policies, funding initiatives, and international best practices to propose context-specific development pathways. Through a systematic literature review, case analyses, and expert interviews, we assess required editorial competencies and evaluate the current status of young editors in China's scientific publishing landscape. Findings reveal significant gaps in talent cultivation policies, institutional platforms, and systematic frameworks. Existing models—primarily supported by academic societies and local governments through project-based funding, on-the-job training, and senior editor mentorship—are constrained by inadequate funding and underdeveloped training systems. International experience highlights the advantages of leading academic journals and societies in implementing diverse, resource-integrated talent development programs. We advocate establishing a collaborative government-industry-academia-research mechanism to strengthen capacity building. Recommendations include: defining clear developmental objectives for young editors; optimizing incentive policies to recognize performance and advancement; creating diversified career pathways; and enhancing comprehensive competencies, including disciplinary expertise, editorial proficiency, and international engagement capabilities. The "government-industry-university-research institute" training system necessitates that government agencies must provide policy guidance and regulatory support; the publishing industry should supply practical training platforms and respond to market demands; research institutions need to contribute theoretical underpinnings and drive innovation; and higher education institutions are responsible for delivering systematic education and skill development within specific academic disciplines. A robust, classification-based training mechanism for personnel of scientific, technical and medical journals must be established. Building upon a foundation of general publishing knowledge and professional competencies, this mechanism should prioritize the specialized and niche training for young editors. Emerging technologies should be leveraged to cultivate editors capable of adapting to media convergence and digital transformation. However, the promotion of these technological applications must be accompanied by the simultaneous development of a comprehensive risk prevention and control framework. The incentive mechanism for talents of scientific, technical and medical journals requires refinement to motivate sustained professional growth, improved job satisfaction, and equitable remuneration. International cooperation should be actively promoted to broaden global perspectives. This includes encouraging young editorial talents in scientific publishing to engage in international exchange programs and strengthening institutional collaborations with international academic societies and publishers.

The increasingly evident polarization of university presses poses a significant challenge to the ecological balance and sustainable development of the entire university publishing industry, with the Matthew effect becoming increasingly prominent. This dynamic has placed certain presses at risk of marginalization or even existential crises in market competition. To address this pressing issue, this study employs a combined research methodology of in-depth interviews and data analysis to systematically explore the influencing factors behind the polarization of university presses in China. Between 2023 and 2024, the research team conducted semi-structured, in-depth interviews with representatives from 29 university presses across the country, aiming to comprehensively assess their current developmental status and challenges, identify the main factors contributing to polarization, and highlight beneficial practices in university publishing. Based on these interviews, this paper reveals the interwoven effects of general market laws and the specific institutional logic of universities from four dimensions: historical accumulation, personnel factors, external environment, and internal agency. The findings indicate that existing publishing structures, scale, and brand recognition shape a press′s initial competitive position and long-term growth potential. Leadership characteristics and the appointment processes of leaders influence strategic direction, while staff compensation and career advancement opportunities affect overall operational vitality and sustainability. The parent university constitutes the most direct external environment for a university press; some presses operate under stringent administrative oversight that limits decision-making autonomy, whereas the marginalization of others reflects insufficient institutional prioritization of publishing activities. Furthermore, the extent to which a press leverages and reciprocally contributes to its parent university′s resources not only shapes its own development but also affect its relationship with the parent university. The parent university serves as a solid foundation and strong backing for press development, and university presses should proactively align with national development strategies, deepen collaboration with their parent universities, thoroughly exploit high-quality publishing resources, and better serve teaching and research of the parent university. Concurrently, parent universities should also enhance their commitment to university publishing, optimize the selection and management methods for university press leadership, strengthen the construction of the press′s talent pool, improve operational management levels, and, within policy limits, grant university presses greater flexibility and sufficient decision-making autonomy to adapt to evolving publishing technologies and intensifying market competition. However, a prosperous symbiotic relationship between a university and its press does not require perfectly synchronized development trajectories. While mutual reinforcement remains essential, university presses should maintain flexibility, foresight, and transcendence, striving to surpass the existing capabilities of their parent university and infuse new vitality into the university′s development. Overall, the observed polarization of university presses stems from both general laws of the publishing market and the profound influence of the specific institutional logic of the 'university-press relationship.′ Addressing this requires coordinated efforts to optimize management mechanisms, improve talent systems, enhance operational autonomy, and reinforce collaborative integration—all aimed at ensuring the healthy and sustainable development of the university publishing industry.

The practice of Diamond Open Access (OA) in France provides a compelling case study of how open access principles can be systematically integrated into national research policy. Originating as a visionary idea championed by academics and activists, it has evolved into a formal, state-led strategy. This strategy has expanded further through active participation in international OA alliances and the establishment of a recognizable Diamond OA brand within France. To fully understand this complex policy landscape through qualitative text analysis of eight key French Diamond OA policy documents, this study argues that it must be examined through two complementary lenses simultaneously. First, the specific policy tools employed by the French government and agencies are analyzed. These include establishing broad legal frameworks and public digital infrastructure (environmental tools), directly funding journals and platforms (supply tools), and creating incentives for researchers to publish openly (demand tools). Second, the historical progression of these policies is traced, and divided into three distinct phases: an initial Incubation Phase of advocacy and pilot projects, a Development Phase of strategic national planning and funding, and the current Deepening Phase focused on sustainability, quality, and global leadership. Applying this two-dimensional framework to eight key policy documents, this research maps the evolution of France’ s approach over time. The analysis shows a clear and deliberate strategic shift. In early stages, emphasis was on creating the right conditions and infrastructure. As the policy matured, the focus transitioned to supporting the production of Diamond OA venues and ensuring their long-term viability. The data reveal a distinct pattern: France has consistently relied more heavily on foundational “environmental” tools and direct “supply” support, while using “demand-side” incentives more sparingly. This “strong environmental/supply, weaker demand” model contrasts with certain other European approaches. This strategic selection of policy tools has driven a significant transformation in the French research ecosystem. It has facilitated a power shift away from commercial publishing models toward a system emphasizing academic sovereignty, where scholarly communities exercise greater control over the publishing process. Ultimately, the study finds that Diamond OA policy in France is not merely about improving access to research. It also functions as a strategic instrument for enhancing France’ s influence in global science, positioning the country as a leader in the movement for a more equitable and researcher-driven scholarly communication system. The findings offer valuable insights for other nations crafting their own OA policies. For countries such as China, the French experience highlights several key priorities: building a robust legal and institutional foundation is a critical first step. Sustained, direct public investment in platforms and journals is essential to cultivate a viable Diamond OA ecosystem. Carefully combining different policy tools in a coordinated way is more effective than relying on a single approach. Furthermore, investing in the research community through training and capacity-building ensures that researchers and institutions can actively participate in and sustain the open access transition.

Reading is a timeless theme that transcends the boundaries of time and space for humanity. With the evolution of the times and social changes, contemporary reading practices are facing new challenges. For Chinese citizens, these challenges are reflected both in the impact of external culture and in the issue of internal cultural confidence. The "Reading for All" initiative, as an important lever for disseminating excellent traditional Chinese culture, plays an important role in promoting the "the creative transformation and innovative development of excellent traditional Chinese culture". This paper constructs a theoretical framework of "cognitive reconstruction—value transformation—innovative development" around the interactive relationship between "Reading for All" initiative and "the creative transformation and innovative development of excellent traditional Chinese culture". First, it identifies the three challenges that traditional culture faces today: textual interpretation, cultural confidence, and cultural expression, and then reconstructs them into three major propositions of "Reading for All", pointing out the key clues to promote cultural renewal via reading reconstruction. Second, this paper analyzes the important mechanism of interactive transformation between "Reading for All" and "the creative transformation and innovative development of excellent traditional Chinese culture". It reveals the deeper logic of "Reading for All" promoting the creative transformation and innovative development of excellent traditional Chinese culture: reshaping the modernity of traditional culture through the open interpretation mechanism driven by the internalization of meta-classics, accelerating the process of traditional culture to a national cultural brand through the reproduction mechanism of collective memory symbols, and completing the innovative liberation of traditional culture in the generative artificial intelligence environment through the reading of multimodal fusion perception expansion mechanism, and finally realizing the paradigm shift from the "cultural survival protection" of traditional culture that passively responds to challenges to the "innovative growth of civilization genes" that actively seeks change. Finally, this paper proposes a dual-track driving strategy of "Meta-classic Activation" and "Scene Regeneration", advocating for a culturally innovative pathway driven by "Reading for All". The initiative of inspiring the effectiveness of "Reading for All" with excellent traditional Chinese culture and radiating excellent traditional Chinese culture with "Reading for All" has profound impacts. Among them, the former corresponds to the implementation of the "Meta-classic Activation" strategy represented by excellent traditional Chinese culture, while the latter supports the continued promotion of the "Reading for All" strategy based on the "Scene Regeneration" strategy. By following a dual track approach, a path of cultural innovation driven by "Reading for All" can be established. In the context of contemporary China, "Reading for All" is not merely a practice in knowledge dissemination or cultural consumption, but a civilization system project that leverages excellent traditional Chinese culture as a link, digital media as a catalyst, and reconstructed reading to drive cultural renewal. Moreover, in the significance of building a "Community with a Shared Future for Mankind", promoting "Reading for All" can effectively activate the human cultural ecology and bring many new changes and new faces to human civilization.

Peer review is a review system adopted by the academic and periodical circle to assess the scholarly merit of scientific and technological achievements. This system serves as a crucial foundation for enhancing academic quality, ensuring journal standards, and facilitating scholarly publication. The emergence of open science has significantly influenced global scientific research activities. As scientific and technological innovation and open science continue to evolve, open peer review has become increasingly integrated into the ecosystem of scientific research exchange, establishing itself as a significant evaluation model. The fundamental principle of open peer review involves transparency in paper authorship, reviewer identity, review documentation, and evaluation platforms to encourage broader participation. This transparency enhances review accountability, strengthens reviewer responsibility, and promotes equitable evaluation outcomes. However, the implementation of open peer review faces several challenges: scientific, technical, and medical (STM) journals encounter conflicts between developmental goals and practical implementation; authors face tensions between academic recognition and quantitative output requirements; and reviewers must balance fair evaluation with maintaining cutting -edge perspectives. This article, grounded in the principles of "enhancing peer review mechanisms and actively participating in global academic governance," presents strategies to address these challenges. It advocates for improved governmental planning, establishment of comprehensive open peer review policies, and development of systems for academic recognition and impartial expert evaluation.This enables the entire academic community to perceive the completeness and protection nature of the open peer review system, providing institutional guarantees for the implementation of open peer review. To facilitate this, the academic community should develop technological products to enhance the promotion of open peer review, improve the penalty mechanism to strengthen the academic recognition of authors, and refine the reward mechanism to strengthen the impartial evaluations of experts, thereby laying the foundation for the implementation of open peer review. The academic individuals should adhere to professional ethics, abide strictly the interests of all parties, and create an atmosphere for open peer review. Editors should adhere to ethical standardsto promote open peer review. Authors should adhere to academic integrity to uphold academic recognition. Reviewers should commit to fairness and objectivity in their evaluations. Only when the academic community establishes effective review and supervision mechanism, enforces ethical conduct among scholars, and improves the quality of open peer review, can a favorable ecosystem for open peer review be realized. This will ensure the fairness and effectiveness of the external review system and continuously promote the implementation of open peer review, thereby fully leveraging its role and functions. The findings of this study provide theoretical support for the implementation of open peer review in Chinese STM journals, and contribute to their evolution in alignment with the broader development of open science.

Youth reading constitutes a fundamental dimension of national educational and cultural development, shaping the construction of individual knowledge structures and intellectual dispositions, while reflecting the overall capacity of educational governance and the effectiveness of public cultural provision. However, a pronounced tension exists between nationwide reading initiative and broader educational modernization goals. To address this structural complexity, this study conducts a comprehensive review of domestic and international scholarship to develop an analytical framework that systematically integrates three mutually reinforcing and interdependent domains: the rapidly evolving digital media environment, the shifting functions and constraints of family literacy support, and the institutional logics embedded within the education system. Methodologically, the study synthesizes data from recent national and provincial surveys on adolescents’ reading behaviors and multifaceted media consumption. By integrating diverse empirical indicators—such as household book ownership, frequency of parent–child reading interactions, and school-level reading curricular arrangements and high-stakes examination requirements—it constructs a multi-source empirical basis for structural diagnosis. This evidence reveals several interrelated structural pressures reshaping youth reading: fragmented digital media persistently compress deep reading time; unequal family cultural capital widens disparities in reading readiness; and utilitarian, exam-centered evaluation mechanisms gradually distort reading into a tool for test preparation rather than a process of intellectual inquiry and cultural formation. Building on these diagnostic insights, the study employs a nuanced historical–institutional approach to trace the evolution of youth reading policies in the United States, focusing on the development of a multilayered governance structure established since the Elementary and Secondary Education Act. This structure features targeted federal funding formulas, standardized accountability regimes, and literacy-oriented reforms. Representative practices—including digital reading support programs, family literacy initiatives, public library services, and competence-based assessment reforms—are examined to assess their distinct contributions to reducing reading inequalities and effectively counteracting digital disruptions. The findings indicate that while forward-looking institutional design does not automatically produce balanced outcomes, the integration of reading requirements into curriculum standards, the establishment of stable financial support mechanisms, and the adjustment of evaluation frameworks can meaningfully reshape the reading ecology and alleviate cumulative disadvantages. Based on the combined diagnostic and comparative conclusions, the study proposes three directions for localized policy improvement: first, reconstructing deep reading mechanisms in a digital context through media and information literacy education and the integrated development of accessible digital reading platforms; second, strengthening family reading functions through a socially supported service matrix that shifts from merely demanding to actively enabling parental participation; and third, advancing de-utilitarian reforms in school-based reading by recalibrating evaluation systems to restore reading’ s essential role in cultivating understanding, critical thinking, and cultural identity. Coordinated action across educational, cultural, and social policy domains is essential to form a coherent, equitable, and sustainable youth reading support system, ultimately strengthening the humanistic foundation for long-term cultural and social development.

This paper analyzes the intricate relationship between scientific journals and technological innovation in depth, drawing upon insights from both the history of science and technology and the current landscape of global comprehensive scientific journals. It delves into how scientific journals have evolved in tandem with major technological revolutions, playing a pivotal role in facilitating scientific communication and catalyzing innovation. By examining the historical trajectory of scientific journals, this study analyzes their advent and evolution as integral components of the scientific ecosystem during periods of significant technological upheaval. The analysis encompasses a systematic survey and detailed examination of nine prominent domestic and international comprehensive scientific journals, including Science, PNAS, Nature, Bulletin of the Chinese Academy of Sciences, and China Engineering Science, etc. These journals were selected based on their substantial influence, historical significance, and representation of diverse comprehensive scientific journals. The Ruttan model, a robust analytical framework, alongside other advanced methods are used to conduct a comparative analysis of the core positioning elements of these scientific journals. These elements include the target audience, coverage areas, and content columns, which collectively define the identity and impact of each journal. The findings indicate that the success of comprehensive scientific journals depends on several key factors. Foremost among them is the accurate positioning of the target audiences. This strategic approach, targeting specific groups including researchers, policymakers, and science-interested public, is essential for tailoring content to meet their differentiated needs. Through accurate identification and service of these distinct audiences, journals can enhance their relevance and utility. Focusing on the core areas of the journal ensures that it preserves a clear academic direction and depth in its coverage, thereby establishing a strong foundation for academic discourse. Furthermore, optimizing content settings through well-structured columns and sections further enhances the readability and usability of the journal, thus improving its accessibility and reader engagement. Additionally, appropriate allocation of resources, including financial support, editorial talent, and technological infrastructure, emerges as a crucial factor for sustaining high-quality publications. Sufficient resources enable journals to attract top-tier submissions, facilitate rigorous peer-review processes, and uphold high editorial standards. Furthermore, embracing digital transformation through advanced technologies and platforms can significantly enhance the dissemination efficiency and overall impact of scientific journals. In an era dominated by digital communication, leveraging technology is essential for expanding audience reach and fostering global scientific collaboration. The findings provide valuable reference for improving the editorial quality of domestic comprehensive scientific journals as well as subject-specific scientific journals. By learning from the successful experiences of their international counterparts, domestic journals can better adapt to the rapidly evolving scientific landscape and contribute more effectively to the scientific and technological advancement. This study also emphasizes the potential for domestic journals to leverage their unique strengths, such as regional scientific focus and cultural contexts, to establish a distinctive niche within the global scientific community. This study ultimately presents the strategic development of comprehensive scientific journals, empowering them to become influential platforms for scientific communication and innovation in the digital era.

International publishing groups, such as Cell Press, have introduced a “Multiple-Journal Submission” model based on journal clusters in recent years. This model allows authors to submit their manuscripts to multiple journals simultaneously, thus enhancing the efficiency of manuscript processing through collaborative review across multiple journals. This model poses new requirements for editors. To advance journal clustering under the “Multiple-Journal Submission” model, this paper analyzes the characteristics of “Multiple-Journal Submission” model proposed by international publishing groups, investigates the evolving responsibilities and core capabilities required for editors, and further explores pathways for editorial talents cultivation. The "Multi-Journal Submission" model of Cell Press has shifted the publishing model from individual journal to integrated journal clusters. This innovative practice represents international publishing groups’ efforts to integrate publishing resources across multidisciplinary journals and to provide clustered services. This model offers valuable insights for the construction and development of journal clusters in China. By integrating the publishing resources within journal clusters, it significantly improves manuscript processing efficiency, reduces submission time to multiple journals, facilitates high-quality manuscript publication within the clusters, prevents the loss of excellent manuscripts, and enhances the overall competitiveness of the journal clusters. The operation of the "Multi-Journal Submission" model relies on a professional, diverse, and collaborative editorial team. The composition of the "Multi-Journal Submission" editorial team differs significantly from that of the traditional individual-journal submission. Under the "Multi-Journal Submission" model, the manuscripts are processed by both editors of the target journals and the handling editors from the “Multi-Journal Submission” system. The handling editors participate in the complete process of the review and management of the manuscripts. Besides serving as gatekeepers for the journals, the editors in the "Multi-Journal Submission" system are expected to enhance their ability to identify the academic value of manuscripts, strengthen leadership in knowledge services, improve interdisciplinary writing skills, and maintain continuous learning capabilities to adapt to this innovative publishing model. The "Multi-Journal Submission" service features multi-journal collaboration, multi-disciplinary evaluation, and cross-journal integration. The editorial team needs to possess the professional qualities of traditional editors and to adapt to cross-journal collaborative work. The responsibilities of the editors shift from serving individual journals to coordinating multiple journal cooperation, and the editors possess a wide range of skills, including cross-journal communication, multidisciplinary evaluation, and resource integration and utilization. As journal clustering continues to advance, the training system of editorial talents urgently needs to be innovated to accommodate the "Multi-Journal Submission" model. Consequently, the academic publishing industry must reassess the requirements for editors and adjust the focus of editor training accordingly. Chinese journal clusters should implement further measures to enhance journal cooperation, optimize the cluster management, and cultivate high-quality editorial talents for cluster-based services. The cultivating pathways of editorial talents include advanced training or education to enhance research capabilities, precisely targeted recruitment of multidisciplinary talents, and cultivation of versatile, communication-oriented editors. These efforts are essential to providing the high-quality editorial talents needed in the development of Chinese journal clusters.

The rapid advancement of information technology has catalyzed transformative shifts in cultural consumption patterns while generating increased demands for innovative publishing products. As digital-intellectual technologies permeate socioeconomic spheres, revolutionary transformations are reshaping knowledge dissemination channels and consumption modalities, with cross-industry integration particularly driving the publishing industry's transition from traditional content production toward integrated ecosystem models. In this context, conventional publishing enterprises are actively embracing emerging technologies, fostering novel business models, and expanding into new domains to accelerate the development of integrated publishing and adapt to technological disruptions. Nevertheless, substantial uncertainties remain in business model reconstruction during this integrated process, with key challenges including ambiguous market positioning, undifferentiated value propositions, superficial knowledge service implementations, slow channel structure optimization, continuing decline in traditional revenue streams, and limited growth in emerging digital ventures, thus collectively hindering deep-level integrated advancement. Through case study, while emphasizing knowledge services as the strategic core and business model reconstruction as the operational foundation, this paper conducts a detailed analysis of the foundations, conditions, channels, and goals of knowledge services in the context of integrated publishing, thereby proposing innovative business model strategies built on user-centric thinking, digital intelligence, multi-dimensional networks, and value realization. Based on practical experience in integration development, this paper investigates the challenges and root causes of integrated publishing from a supply-side perspective. It examines the value propositions and business models of integrated publishing through the underlying logic of knowledge services. This paper explores pathways for knowledge service implementation via publishing extensions, establishes a closed-loop value system integrating products, users, technology, and networks, and constructs a business model enabling enterprise value monetization. The analysis examines critical dimensions of integration-era business models: foundational infrastructures, enabling preconditions, distribution channels, and value creation objectives, culminating in a business model innovation framework structured upon user-centric design, digital-intellectual technology integration, multi-dimensional network architecture, and value realization mechanisms. Building upon empirical integration practices and closed-loop value chains integrating products, users, technologies, and networks, the proposed model enables corporate value realization by proposing that firms leverage intellectual property operations to evolve into cultural ecosystem hubs and knowledge service platforms. By targeting niche sectors, companies can build vertically integrated channel systems for multi-tiered, multi-format value monetization. They may also pursue cross-industry horizontal integration to transcend a singular publishing perspective, ensuring coordinated development across products, projects, and industries. Furthermore, firms can enhance user operation value through platforms where traffic, knowledge, and users co-create, achieving the "critical leap" from service to payment. These initiatives collectively construct an advanced, sustainable integrated publishing business model-boosting profitability, thereby strengthening core competitiveness, and fulfilling high-quality development objectives.

In the critical period of deep integration and transformation of Chinese publishing industry, a brand is no longer merely a name or logo but represents a concentrated reflection of the core competitiveness of publishing enterprises. It is the key to their survival and development under the combined influence of multiple forces such as technological revolutions reshaping media traditions, reader demand upgrading and iteration, and pursuit of high-quality development under the strategy of cultural power. This study is based on the results of a nationwide questionnaire survey on the theme of "Brand Building of Chinese Publishing Enterprises, " which deeply analyzes the current situation existing in brand building of Chinese publishing enterprises and proposes development strategies for the publishing brands. The aim is to help China create a group of publishing brands that represent national image and inherit cultural essence, thereby advancing the construction of socialist cultural power. The survey focuses on two primary objectives: first, to assess the extent to which Chinese publishing enterprises prioritize brand building at the conceptual level of business philosophy; and second, to evaluate the specific practices of brand building of Chinese publishing enterprises in market operations. The findings reveal several critical issues: first, most publishing enterprises have not established dedicated brand building departments due to insufficient brand awareness; second, over half of the publishing enterprises lack clear brand positioning; third, while most enterprises emphasize high-quality publishing products, few have developed well-recognized book series; fourth, understanding of visual and cultural symbol elements in brand identity remains incomplete; fifth, the potential of short videos and live streaming for brand promotion remains incomplete; and the integrated marketing communication has not been realized. In response to these challeges, the author proposes five development strategies for enhancing brand building of Chinese publishing enterprises: first, strengthen brand value awareness and establish formal brand management department; second, clarify resource advantages through research and implement differentiated brand positioning; third, develop a recognizable brand book series that matches the brand positioning; fourth, emphasize visual and cultural symbolism to cultivate a distinct brand image; and fifth, leverage the potential of short videos and live streaming to achieve integrated marketing communication. Looking ahead, the pathway toward brand empowerment for Chinese publishing enterprises needs a profound change—from passive adaptation to proactive, strategic construction. Publishing enterprises must promote brand building to a strategic priority and deeply embed brand consciousness across all stages of publishing value chain, including topic selection, product development, marketing, and reader services. Only through such comprehensive integration can powerful publishing brands emerge—brands that not only succeed in the market but also lead in cultural influence. This underscores the profound practical significance of publishing in promoting and enriching Chinese culture and in the inheritance and development of civilization.

In an era characterized by the deep integration of culture and tourism, publishing enterprises face the critical challenge of effectively leveraging their distinctive advantages to promote integrated and innovative development within the industry. This paper examines the bidirectional relationship between publishing integration and upgrading of study tours, and systematically analyzes Anhui Publishing Group's implementation of the "WanMei Research Travel" platform to empower the deep integration of culture and tourism. The analysis is structured around three aspects: industry trends in study tour quality enhancement, the platform's role in empowering study tourism, and the construction of a study-tourism ecosystem to promote all-for-one tourism. Within the macro context of cultural and tourism integration, this paper identifies several persistent challenges in study tourism development. These challenges encompass ideological risks (including programs that diverge from educational objectives), safety risks for participants (such as transportation-related incidents during tours), financial management risks (particularly regarding offline payment risks), integrity risks (including non-transparent pricing), and inconsistent quality in educational content and program organization. These challenges necessitate systematic responses and institutional innovations. Simultaneously, the study tour market demonstrates substantial growth potential, presenting valuable opportunities for publishing companies undergoing strategic transformation. This paper analyzes the inherent advantages of publishing enterprises, including their rich content resources, professional talent reserves, technological capabilities, and educational service experience. Using the "WanMei Research Travel" platform as a case study, it provides an in-depth analysis of how the platform implements industrial internet thinking to build an integrated service chain for study tourism, combines multi-stakeholder resources to create a one-stop study-tourism marketplace with systematic integration thinking, and employs market-oriented strategies to ensure operational effectiveness and scalable development of study tourism. These efforts facilitate innovation and upgrading in management processes and service models of study tourism. Furthermore, this paper proposes mechanisms for developing high-quality study tour curricula through collaborative innovation, responsibility assurance, content oversight, and multi-stakeholder partnerships. It advocates for leveraging regional distinctiveness in market operations, implementing open cooperation for resource sharing across regions, establishing clear brand positioning for study products, and organizing large-scale events to strengthen brand identity, thereby enhancing market presence and recognition. Finally, adopting all-for-one tourism as a strategic framework, this paper explores how the platform enables the construction of a study tourism ecosystem through fundamental components including data integration, artificial intelligence implementation, and iterative product development. This approach transforms study tourism from an isolated activity into a comprehensive ecological model within the all-for-one tourism framework. This paper provide both theoretical foundations and practical paradigms for innovation in publishing integration.

Generative artificial intelligence has witnessed explosive growth in recent years. Large language models powered by AI are increasingly adopted by researchers to assist in scientific research and academic writing. While these tools help reduce the time investment required from researchers and significantly enhance research efficiency, they simultaneously raise various academic ethical concerns, including intellectual property infringement and academic misconduct. In response to AI's impact on academic research and publishing, institutions worldwide have established guidelines governing AI tool usage for researchers and academic publications. This paper analyzes policy statements regarding AI tool usage issued by 50 Chinese social science academic journals since 2023, representing diverse disciplines and institutional affiliations, to comprehensively understand the awareness and responses within China’s social science academic journal community regarding AI tools, and provide evidence-based insights for improving AI policies in academic publishing. Through detailed textual analysis, the research identified nine key aspects addressed in AI policies of academic journals : responsibility definition, prohibited actions, permissible scope, disclosure requirements, verification mechanisms, penalty measures, multiple stakeholders, dynamic adjustments, and an open attitude. These interconnected and organically unified elements form a cohesive AI Usage Policy framework for academic social sciences journals. They delineate the boundaries for authors to reasonably use AI tools for academic innovation and provide fertile ground for academic prosperity in the AI era, while charting a future vision for the development of academic journals themselves. findings indicate that the domestic academic journal community demonstrate sufficient awareness of AI tools and have responded promptly, maintaining a balance between regulatory oversight and supportive implementation while showing a trend toward dynamic policy optimization. However, several limitations exist in the existing AI policies of academic journals: most journals lack specific AI usage guidelines, some journal policies lack operational practicality, some journals with established AI policies suffer from inadequate implementation, and existing AIGC detection tools require improvement. Addressing AI-related challenges in academic publishing first requires an open and inclusive attitude, acknowledging technological advancement's inevitability. Second, it is essential to adhere to the principles of prudent responsibility, guiding technological development through the establishment of rules that define AI usage boundaries while preserving space for development, ultimately fostering a positive interaction and synergistic development between AI technology and academic publishing. Five specific measures are recommended: promoting the standardization of AI usage guidelines in academic publishing, leveraging AI to advance academic innovation and disciplinary development, fully unleashing the potential of AI tools to empower journal editors, regulating AI involvement in academic creation at its source, and establishing a robust training and guidance system for AI applications in research and editing.

In the contemporary digital communication ecosystem, scientific publishing institutions worldwide are increasingly embracing multimedia narratives as a core strategy to innovate dissemination approaches of research outcomes. This shift not only accelerates the transformation of scientific achievements into socially impactful knowledge, but also plays a critical role in enhancing public scientific literacy and fostering a more inclusive science communication environment. As scientific information grows in complexity and volume, effective dissemination requires more than textual presentation—it demands emotionally resonant, multimodal storytelling that can bridge the gap between academic rigor and public engagement. This paper examines the role of multimedia narrative strategies in enhancing the digital communication efficacy of scientific, technical and medical (STM) journals. It adopts the theoretical framework of “scientific empathy, ” derived from the empathy theory, to illustrate how emotional resonance—alongside factual accuracy—can enhance the accessibility and trustworthiness of science. The concept of “scientific empathy” encompasses both cognitive empathy (enabling rational comprehension of scientific content) and emotional empathy (fostering emotional connection and engagement with scientific ideas). This paper argues that successful digital science communication should strategically integrate both dimensions to reduce barriers to scientific understanding and to cultivate sustained public interest in science. To ground this analysis, this paper compares international and domestic practices in digital science communication, with a particular focus on Nature as a paradigmatic case study. As one of the world’ s leading STM journals, Nature exemplifies how multimedia narratives can be designed to reach broad and diverse audiences. The journal has developed a matrix-based layout of digital channels—including YouTube, Bilibili, Twitter, and WeChat—each tailored to distinct audience segments and platform-specific communication styles. Through multi-modal content formats, such as short-form videos, animated explainers, and researcher-led storytelling, Nature adapts its communication strategy to user preferences and platform dynamics. Moreover, Nature employs empathetic narrative techniques that create immersive, emotionally engaging experiences. These include first-person accounts from scientists, problem-driven story structures, and the use of metaphor and personification. Such techniques lower the threshold for public understanding and generate emotional resonance, helping demystify complex topics and strengthen affective ties between science and society. Building on these findings, this paper proposes three strategic optimization pathways for Chinese STM journals aiming to enhance their digital communication impact. First, a “technology-content-experience” paradigm should be developed by integrating VR/AR and AI technologies to increase interactivity and immersion. Second, STM journals should cultivate community-driven ecosystems that promote social engagement and participatory knowledge production, including user co-creation and crowdsourced science storytelling. Third, localized narrative strategies should be emphasized to enhance scientific empathy, by aligning content with the cultural values, linguistic patterns, and cognitive habits of Chinese audiences. Ultimately, this paper advocates transforming Chinese STM journals from traditional, text-centric publishers into dynamic, multi-dimensional communication hubs. This transformation is essential for amplifying the visibility and influence of Chinese scientific research and for advancing broader goals of scientific literacy and emotional identification with science in the digital age.

The wave of artificial intelligence (AI) is reshaping various industries. Journal publishing, as a core link in knowledge production and dissemination, is also facing a critical historical turning point in its development amid era transformation. The advancement of AI has brought significant opportunities for efficiency improvement and model innovation to journal publishing, but it has also posed numerous challenges regarding academic integrity, positioning of editorial roles, and publishing ethics. This paper is based on the discussion among five experts on the 15th China International Digital Publishing Expo. Experts point out that the application of AI in journal publishing has introduced a series of ethical challenges. Yan Shuai highlights that the application and development of AI have led to the proliferation of "paper mills" and the openness of AI platforms enables multiple entities to upload content to public platforms. Xiao Hong emphasizes AI’s value-neutral nature as a tool, arguing that its operational outcomes depend on the motivations and purposes of its users. Zheng Suxia cites practices from her editorial department, noting that AI significantly reduced the editorial workload by handling up to 60% of routine tasks. However, this may also lead to a streamlining of editorial staff. Experts believe that technological solutions should be employed to address challenges posed by technology. Xiao Hong advocates leveraging AI for content production and quality control across dimensions such as innovation, significance, scientific rigor, and disseminability (practical applicability). Yan Shuai believes that the issues arising from AI require collaborative governance among multiple stakeholders to resolve. He proposes corresponding collaborative governance measures, drawing on practices from the STM Association as an example. Liu Liwei emphasizes that data served as a critical resource for advancing journal development. Regarding the crisis of human subjectivity caused by AI, Zheng Suxia takes instrumentalism as theoretical foundation, viewing AI as an extension of human capabilities. She emphasizes that AI lacks the subjectivity required for knowledge production, as it does not possess the ability for value-based self-reflection or ethical deliberation. Humans can create new knowledge based on a substantive understanding of the world, while AI cannot. Liu Liwei explores the varying degrees of AI application in academic publishing, scientific communication platforms, and new media content creation, highlighting the distinct advantages and limitations of both humans and AI. Experts ultimately envision AI’s role transition from a tool to a collaborative partner, aiming to guide AI toward beneficial development while preserving space for human agency. Both Xiao Hong and Liu Liwei acknowledge the positive functions of AI, and Liu Liwei believes that humans still play the dominant role in social development. Zheng Suxia envisions a "future editorial department", suggesting that the two can maintain a friendly and cooperative partnership. However, Yan Shuai believes that how we respond to the challenges posed by AI will determine whether it becomes a partner or a troublemaker. Based on this, Chen Dan proposes a shift in the role of journals from information disseminators to drivers of scientific research and innovation. This research provides insights into enhancing human-machine collaboration efficiency and empowering the future advancement of journals.

Scientific, technical, and medical (STM) journals in China are currently experiencing a significant transition toward high-quality development while confronting increasingly complex challenges in the artificial intelligence (AI) era. AI Advances have transformed research methodologies, evaluation processes, and dissemination practices, presenting both opportunities and potential risks for research integrity. The research integrity governance approaches implemented by leading international STM journals provide valuable insights in this context. These journals have accumulated substantial experiences in addressing AI-era challenges, providing valuable lessons for establishing a research integrity governance framework tailored to China’s specific academic and institutional context. This paper systematically reviews the research integrity governance practices across 265 mainstream STM journals in the AI era, analyzing their regulatory mechanisms, technological strategies, and ethical frameworks. The analysis reveals that international journals and publishing institutions implement a comprehensive approach to research integrity governance. This includes establishing detailed and precise regulatory rules, deploying advanced technological detection and verification tools, and developing shared ethical norms across the academic community. These measures are designed to mitigate risks while simultaneously fostering academic innovation. The resulting governance framework operates on multiple levels, incorporating hierarchical management structures that range from full-process oversight to targeted supervision at critical stages of the research and publication process. Additionally, governance measures are adjusted according to disciplinary sensitivity and specific risk profiles, ensuring intensive monitoring of high-risk areas. A notable innovation in many international practices is the integration of human–machine collaborative defense mechanisms, combining automated detection technologies with expert assessment to establish a robust, adaptive, and scalable model for maintaining research integrity. Based on these insights, this paper proposes three strategic priorities for developing China’s research integrity governance system for STM journals. First, it emphasizes establishing comprehensivefoundational governance frameworks that clearly define responsibilities, standards, and workflows across all stages of the research and publication lifecycle. Second, it highlights the importance of proactive ethical cultivation, embedding research integrity and professional norms into the core academic culture of journals. Third, it underlines the necessity of aligning policies and standards with both national regulations and international best practices to enhance coherence, comparability, and credibility. The development of an agile governance system requires strategic planning across three dimensions: promoting multi-stakeholder collaboration among publishers, researchers, and institutions to integrate diverse expertise; strengthening institutional and technical capacities to address emerging risks; and fostering technological innovation to improve the efficiency, accuracy, and reliability of research integrity monitoring. By learning from the structured, technology-enabled, and ethically grounded approaches of leading international journals, China can establish a research integrity governance system that addresses AI-era challenges while reflecting its national characteristics. This system would serve to safeguard scientific credibility and integrity while strengthening the global competitiveness and impact of STM publications in China.

The international scholarly communication ecosystem is undergoing a profound transformation. This study examines the strategic responses of five leading academic publishers—Elsevier, Springer Nature, Wiley, Taylor & Francis, and SAGE—from 2022 to 2025. By analyzing corporate annual reports, official press releases, policy documents, and industry whitepapers, this research identifies three interconnected trajectories reshaping the global publishing ecology. First, strategic transformation and business restructuring have accelerated. While overall revenues for most publishing groups remain resilient or show growth, the compositions of these revenues reflect a decisive pivot away from traditional subscription-based publishing. Traditional subscription-based publishing is approaching saturation, evidenced by stable or slightly declining shares of total revenue. Growth is now driven by diversification strategies: aggressive acquisitions target adjacent services such as research workflow tools, data analytics platforms, and artificial intelligence (AI)-driven solutions; divestitures of non-core assets sharpen focus on scholarly research; substantial research and development (R & D) investment fuels AI integration across discovery, peer review, writing assistance, and plagiarism / image detection; and strategic expansion into emerging markets (Asia, Latin America, and the Middle East) is vigorously pursued through transformative agreements and localized partnerships. Second, the transition toward Open Access (OA) is steadily accelerating, albeit accompanied by ever-changing models and emerging challenges. There has been a notable surge in the signing of Transformative Agreements, peaking around 2023. These agreements have emerged as the favored approach for facilitating large-scale OA conversion, typically structured as multi-year, consortium-based "Read & Publish" deals, such as the DEAL agreements in Germany. Publishers also experiment with alternative OA pathways like Subscribe to Open, Pledge to Open, Direct to Open, Flip it Open, and Purchase to Open, as well as collective funding models and diamond OA initiatives. Efforts are made to include smaller institutions in OA frameworks. However, sustainability concerns persist. Article Processing Charge (APC) inflation continues, with differential pricing based on Creative Commons licenses or speed of service emerging. Third, engagement in scholarly ecosystem governance has intensified. Recognizing their pivotal role, publishers are investing heavily in research integrity infrastructure: developing and deploying AI tools to detect paper mills, image manipulation, and AI-generated text; participating in global initiatives like United2Act; and collaborating on authorship guidelines. Service optimization for authors and librarians includes AI-powered peer review matching, manuscript transfer services, reduced decision times, writing assistants, code sharing integration, and training resources for AI literacy. Drawing on these international experiences, this paper proposes strategic recommendations for China's academic publishing industry. It is suggested that China should leverage its institutional advantages to build autonomous and controllable intelligent publishing platforms through technological empowerment. Regarding the OA pathway, prioritizing non-APC/BPC models, such as diamond OA and collaborative funding mechanisms, is crucial for developing a sustainable and inclusive system. Furthermore, in terms of governance mechanisms, proactive participation in international rule-making is essential to enhance China's discourse power in global academic communication. The ultimate goal is to construct a new academic communication ecosystem that is open, sustainable, and globally influential.