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.

The "China Series" original textbooks proposed in the "Education Powerhouse Construction Plan Outline (2024-2035)" point to a brand-new direction of promoting the construction of an education powerhouse through textbook reform. The construction of the textbook system in the new era has been elevated to the level of national strategy, with the overall goal of accelerating the construction of an independent knowledge system and creating a high-quality textbook system with Chinese characteristics and world-class standards. As an important component of the high-quality textbook system, the "China Series" original textbooks align with the transformation requirements of the high-quality development of China's education cause in the new era. They are a solid support for the construction of an education powerhouse, an important path to the great rejuvenation of the Chinese nation, and a key task in building an independent knowledge system. The "China Series" original textbooks are characterized by distinct political, national, and innovative features, forming a textbook system that meets the development requirements of China's education cause in the new era while undertaking the significant mission of building discourse dominance, leading values, and local theoretical innovation. Their political nature is reflected in the fact that the "China Series" original textbooks are an important carrier for the construction of ideological discourse under the comprehensive leadership of the Party. Their national nature is reflected in the fact that the "China Series" original textbooks are a value expression of Chinese socialist culture with Chinese characteristics. Their innovative nature is reflected in the fact that they mainly contain China's independent knowledge system. In summary, the "China Series" original textbooks are a concrete form of high-quality textbooks with Chinese characteristics and world-class standards. Textbook publishing is a key focus of textbook construction. For university presses, it is necessary to adhere to and implement the overall requirements of the Party and the state for the construction of an education powerhouse, and grasp the profound connotation and strategic significance of the construction of the "China Series" original textbooks. University presses shoulder the fundamental task of implementing the goal of cultivating virtue and fostering talent in China's education cause in the new era. They should firmly grasp the core essence of "cultivating the roots and casting the soul, enlightening wisdom and increasing intelligence" in developing the "China Series" original textbooks, implement the systematic requirements of the construction of an education powerhouse, and make in-depth efforts in maintaining ideological security and cultural education to fulfill their political leadership mission through the stable value support of the textbook system. In the micro-level, university presses promoting the construction of the "China Series" original textbooks always focus on teaching services, knowledge dissemination, and talent cultivation. They should closely cooperate with the university mother body to achieve the goal of "Double First-Class" construction, expedite the publication of textbooks reflecting independent knowledge system, continuously improve the capabilities and level of textbook publishing through high-quality textbook research and development teams, and truly fulfill their disciplinary support responsibilities by meeting the requirements of high-quality development of the textbook system. Moreover, they should accelerate the all-round embedding of digital and intelligent technologies in textbook publishing, stimulate their own vitality through institutional and mechanism reforms, adapt to the general trend of publishing "going global", and make textbook publishing go global through continuous innovation and optimization to build a high-quality textbook publishing ecosystem. They should support the construction of the "China Series" original textbooks with practical actions of high-quality textbook publishing and write a brilliant chapter in the advancement of educational publishing.

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.

With the increasing demand of users for high-quality video content, medium and long video has become an important position for publishing institutions to conduct brand communication and product promotion. This paper takes publishing institutions’ bilibili accounts as the research subject. The data is collected in bilibili video data analysis platform "new station data", through the octopus network crawler tool for initial data capture, supplemented by Python dynamic page analysis and structured storage, to ensure multidimensional coverage of UP hosts’ basic information, work data, and interactive metrics. On the basis of data analysis, this paper identifies current situation and problems of publishing institutions in account operation, content production, user maintenance and other aspects. From the perspective of the content operation of publishing institutions, the head account has a monopoly advantage. There are two main modes of video content production: independent creation and cooperative creation. The video types are mainly knowledge science, including book publicity, interactive communication, cultural activities and other types. Although publishing institutions have made various attempts and explorations in the operation of medium and long video content in recent years, they also face many challenges.Most institutions lack the accurate positioning of the account, and lack the personalized image positioning. There is a structural contradiction between resource input and output in video content production, and some accounts are not updated for a long time, resulting in users' inability to form stable content expectations. Videos lack interactive design, and user participation is weak. Most publishing institutions rely on traditional business models and lack diversified realization paths such as membership subscription and knowledge payment. Based on the above analysis, publishing institutions should accurately position the brand image by combining the platform culture and user preferences. Through the production of serialized videos to form a stable user cognition path, and strengthen the professional image and brand recognition of publishing institutions. Establish a user growth system, set up a hierarchical system, and build a tribal community. Publishing institutions should create the mode of "deep creation + light marketing", realize brand communication and commercial transformation with the help of community ecology, and explore the collaborative mode of in-depth content creation and flexible commercial marketing. Medium and long videos enable more systematicprofessional and continuous knowledge content creation and dissem ination, which can make up for the shortcomings of fragmented and superficial short video operation, while fulfill the sophisticated demand of users for high-quality video. In the future, the fielid of medium and long video is expected to become a new growth point of content operation, brand communication and product promotion in the publishing industry.

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.

In the context of the digital age, the transformation and upgrading of the publishing industry are crucial for achieving high-quality development. This paper explores how to promote the intelligent publishing transformation and the high-quality development of the publishing industry through the development of New Quality Productive Forces. New Quality Productive Forces, as an emerging concept, refer to the evolution of technology, organizational structures, and human capital that enables industries to enhance productivity, innovation capacity, and value creation through digital tools and data-driven strategies. Starting from the an analysis of the challenges in digital transformation of publishing industry, this paper reviews the domestic and international research on New Quality Productive Forces and the transformation and upgrading of the publishing industry, highlighting the existing gaps and identifying innovative directions for further exploration. Subsequently, it outlines the characteristics of New Quality Productive Forces, analyzes advantages, and emphasizes its role in the digital transformation of the publishing industry. When analyzing the challenges and opportunities of the publishing industry in the digital age, it is pointed out that traditional publishing is under pressures from emerging technologies such as artificial intelligence, big data, cloud computing, and the Internet of Things in its existing processes and production methods. Digital publishing enables the digitized and intelligentized processes of content creation, production, distribution, and marketing, significantly improving publishing efficiency while expanding its boundaries. However, digital transformation also presents challenges. The Issues in the publishing industry, such as content homogenization, copyright risks, and intensified market competition, remain the bottlenecks that restrict further development. Then, the role of New Quality Productive Forces in promoting the transformation of the publishing industry is emphasized, and practical pathway driven by New Quality Productive Forces is proposed for achieving the high-quality development of the publishing industry, focusing on four core elements: content innovation, technological progress, value extension, and model upgrading. Content innovation is the core of the high-quality development of the publishing industry. Publishing enterprises need to enhance the creativity and communicability of content through technological means, while aligning content with market demands. Technological progress emphasizes continuous adoption and integration of emerging technologies for the publishing industry, such as cloud computing, artificial intelligence, and the Internet of Things, to improve the intelligence level of the publishing production processes. Value extension focuses on the expansion of the publishing value chain by promoting international publishing cooperation and the global dissemination of publishing content. Finally, model upgrading urges publishing enterprises to transition from traditional business models to more flexible and innovative operational ones, such as community economy and cross-border cooperation, to meet the market demand of the digital age. It is concluded that the path to high-quality development of the publishing industry driven by New Quality Productive Forces can not only rejuvenate the traditional publishing but also ensure its long-term sustainability and competitiveness. By embracing the opportunities brought by New Quality Productive Forces, the publishing industry can develop in a more flexible, innovative, and intelligent direction. The high-quality development and digital transformation of the publishing industry will further contribute to national cultural construction goals and enhance the quality and international impact of Chinese publications.

In recent years, generative artificial intelligence (AIGC) has experienced rapid development and widespread application in the publishing sector. As an emerging technological application and new quality productivity, AIGC is reshaping the publishing ecosystem, catalyzing profound transformations in content production and publishing workflows. How to deal with the subversive changes brought by generative artificial intelligence to the publishing field is an important issue that needs urgent academic attention and analysis. Existing studies have explored its application prospect, potential risks, ethical compliance, copyright protection, governance and supervision of AIGC in the publishing industry. Based on literature analysis, this paper focuses on the technical logic and implementation paths of generative artificial intelligence empowering publishing industry from the perspective of marketing theory. The application of generative artificial intelligence in publishing marketing enables precise market predictions and facilitates efficient decision-making in publishing marketing. Leveraging robust data processing and self-learning capabilities, it constructs precise user profiles by analyzing multidimensional data, including user behavior and purchasing preferences. Furthermore, generative artificial intelligence autonomously generates personalized textual content aligned with user preferences, thereby elevating reading experiences. Through model training based on user portraits, the algorithm can accurately identify user demands across various scenarios, thereby enabling more precise and personalized publishing products recommendations. Regarding specific practical paths, this paper proposes that generative artificial intelligence plays a significant role in the planning and text processing of publishing topics, personalized promotion and targeted distribution of publishing marketing materials, automated marketing copy generation, and creative design of book industry advertisements, as well as intelligent marketing customer service and emotional services. First, in topic planning, generative artificial intelligence builds an intelligent publishing topic planning system through multidimensional data fusion analysis, enhancing editorial efficiency. Second, in text content processing and optimization, AIGC's multi-modal depth fusion ability can realize the intuitive transformation of text content into visual images. Third, based on user portraits, generative artificial intelligence can predict user preferences and interests in advance and accurately recommend book products through precise identification and matching. Fourth, on the basis of generating the book content summary, publishing operators can also utilize AIGC to generate book covers and summaries, and further explore and refine the marketing selling points of the book, thus enhancing the marketing advantages of the book. Additionally, AIGC-powered intelligent customer services and emotional engagement enhance user emotional experience, and build deep trust between enterprises and users. As emerging technology is a "double-edged sword", how to avoid the potential risks that may be brought by generative artificial intelligence requires careful consideration. This paper advocates for balanced implementation with actively promoting AIGC applications in publishing and marketing, while mitigating potential risks in applications. Therefore, adherence to the principles of "ethics first" and "technology for good" is essential, embedding ethical principles such as fairness, justice, and honesty into model training to promote the transformation of publishing marketing toward a new paradigm of "human-machine collaboration".

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.

Publishing is usually divided into three major formats: professional publishing, mass publishing, and educational publishing, among which academic publishing is the main body of professional publishing. In recent years, the government has continuously increased its support and encouragement for academic publishing. Academic publishing in our country is in a period of rapid development. Since its establishment, National Publication Foundation has supported numerous key projects. These projects have important social value, cultural value, academic value, scientific value, and inheritance value, representing the level and direction of academic publishing. The publication of these projects has a strong reaction force on the development of technology, not only serving the strategy of building a strong country in science and technology, but also providing favorable support for the high-level development of science and technology in China. From the perspective of local science and technology publishers, this article systematically summarizes the projects selected by 13 local science and technology publishers for National Publication Foundation in the past 6 years. The article not only compiles the selection status of local science and technology publishers in each year, but also selects the top 10 publishers in terms of total selection for detailed analysis. Based on these selected projects, the article analyzed the number of selected projects and the characteristics of the selected topics. We found that local science and technology publishers mainly focus on medicine, agriculture, and cutting-edge technology, and gradually extend towards biology and geology. These selected books are positioned as academic publications at the 'China' level. Under the guidance of policies, in recent years, publishers have vigorously developed popular science books, and more and more popular science books have been selected for National Publication Foundation. Of course, local technology publishers have many problems, such as their small size and scale, limited content resources, lack of attractiveness to authors, and frequent shortage of editorial strength. On the other hand, we also need to recognize the advantages of local technology publishers. The article believes that, firstly, it is necessary to strengthen the development of specialization, where 'professional people do professional things'. Secondly, we should adhere to vertical development, blindly dispersing our efforts to achieve "full coverage", and not concentrating our efforts on "precise strikes". Thirdly, we should adhere to the development of branding, not only by establishing a professional brand logo, but more importantly, by forming our own reputation in a certain academic field. Fourthly, it is necessary to deeply explore local characteristic resources and platform resources, and form a technology publishing style with local characteristics. Fifth, we should increase the use of digital technology in publications and be adept at utilizing these new technologies for extensive book promotion. Sixth, it is to explore the internationalization of academic publishing, so that more good books can be seen by foreign experts and scholars, showcasing China's technological strength and innovation to the world.

In the era of the experience economy, physical products create unforgettable "experiences" for consumers. In the field of book publishing, the same book content, when presented with different design and binding interpretations, results in varying reading experiences for the audience. With the rapid rise of electronic publications characterized by rich variety, easy access, and fast dissemination, traditional reading habits have been greatly impacted. In the continuous advancement of the national reading campaign, readers with traditional reading habits have more detailed demands for diverse book reading experiences. Therefore, in the book design process, emphasizing the guidance of reading experience on book design concepts holds significant value. The form of a book is tangible, while the experience of reading it is intangible and comprehensive. It is precisely this diverse demand for reading experiences that has led to the diversified development trend of the specific presentation forms of books, from a single, static design language to a diverse, dynamic one. Experience design in book design takes the form of the book as a platform and uses the elements of book such as layout, font, material, illustration, and structure to enhance readers' deeper cognition and understanding of the book through related experiences beyond the book's content. This article is organized into four sections for discussion. The first section focuses on the importance of reading experience, presenting three manifestations of its significance: empowering diverse reading practices, deepening the perception of text reading, and facilitating emotional resonance. A multi-dimensional interactive reading experience can overcome the barriers of language and geography, enabling readers from different regions or even countries to personally experience the cultural charm of books, thereby promoting the exchange and dissemination of diverse cultures, and enhancing mutual understanding and respect. The second section centers on the subject value of reading experience, emphasizing the application of the concept of user experience, which has been widely used in product and internet fields, to book design research. Experience design is based on humanization and addresses the specific needs of readers. Contemporary reader group is no longer satisfied with merely obtaining information but pays more attention to the pursuit of experience in reading. The third section presents the principles of book design based on reading experience, including the principles of readability, interactivity, and moderation. The fourth section discusses the applications of experience design thinking in book design, which are divided into three aspects: the applications in book materials, book forms, and book layouts. The reading process of readers is an experiential journey encompassing the experiences of book content and reading methods, and the sensory experiences such as touch, smell, hearing, and even taste of the book's format, layout, and materials. This experience process, from simple content acquisition to the enjoyment of reading, collectively forms the content memory, emotional communication, and engaging interaction that readers obtain when reading books.