International Journal of Asian Social Science Research
The International Journal of Asian Social Science Research (IJASSR) is a peer-reviewed, interdisciplinary academic journal that publishes high-quality research on various aspects of social sciences in Asia. The journal aims to provide a platform for scholars, researchers, and practitioners to share insights and findings that contribute to the understanding and development of Asian societies.
The Impact of the Digital Economy on Income Inequality
This paper employs a univariate linear regression model to examine the impact of the digital economy on income inequality, using provincial panel data from 2010 to 2023 obtained from the National Bureau of Statistics of China. Robustness checks are conducted using the number of internet broadband access ports, and heterogeneity analyses are carried out from the perspectives of different time periods, regions, and the urban–rural dual structure. The main findings are as follows. First, the digital economy plays a mitigating role in income inequality. Second, following China’s proposal of the urban–rural integrated development strategy in 2017, the inequality-reducing effect of the digital economy has become more pronounced. Third, the mitigating effect of the digital economy is stronger in Northeast and Western China, while it is relatively weaker in Eastern and Central China. Fourth, the digital economy in urban areas has a stronger alleviating effect on income inequality. Based on these findings, this study further emphasizes that the government should strengthen digital economy infrastructure development, establish mechanisms for two-way data flows between urban and rural areas, leverage digital technologies to empower the transformation and upgrading of old industrial bases in Northeast China and the development of the green economy in Western China, and enhance digital awareness campaigns in rural areas as well as regulatory oversight of digital industries in urban areas.
digital economy, income inequality, regression analysis, heterogeneity analysis, robustness test
Copyright (c) 2025 Jingwen Zhang (Author) https://creativecommons.org/licenses/by/4.0
Criminal Regulatory Approaches to Deepfake-Related Offenses: Focusing on the Crime of Fraud
As a representative form of AI-generated synthetic media, deepfake technology-characterized by its high degree of realism and increasing accessibility-has expanded the scope of legitimate technological applications while simultaneously providing novel tools and pathways for fraud-related crimes. Centered on the offense of fraud, this article systematically examines the role and functional mechanisms of deepfake technology within the criminal chain, identifying the associated criminal risks across key stages such as the illicit acquisition of personal information, content fabrication, and the execution of fraudulent schemes. The study finds that deepfake-enabled fraud exhibits distinctive features, including low technical barriers to entry, a modularized criminal chain, increasingly precise and multidimensional methods of deception, and the diffusion of harmful effects into the broader system of social trust. These characteristics pose significant challenges to existing criminal law frameworks, particularly with regard to the identification of criminal subjects, the classification of forms of accomplice liability, the allocation of platform responsibilities, and the legal characterization of relevant conduct. On this basis, the article proposes a systematic regulatory framework from three dimensions-legislative refinement, judicial response, and comprehensive governance. This includes promoting the interpretation and adaptation of the elements of fraud crimes, establishing an intelligent trial assistance system, implementing a dual-constraint mechanism for deepfake content labeling and informed consent, and the exploration of a collaborative “platform–government” regulatory model. These proposals aim to provide theoretical support and institutional reference points for the prevention and punishment of deepfake-enabled fraud.
artificial intelligence, deepfakes, deepfake technology, AI-enabled fraud, crime of fraud
Copyright (c) 2025 Songyang Sai, Zifan Wang (Author) https://creativecommons.org/licenses/by/4.0
AIGC’s Impact on 2D Animation Professionals: Disruption, Opportunity, and Governance in a Reconfigured Production Chain
Generative AI-often discussed in Chinese contexts as AIGC-has begun to reshape 2D animation work by lowering iteration costs in pre-production, accelerating parts of asset creation, and enabling rapid multi-variant marketing outputs. Yet these productivity gains come with uneven labor impacts and heightened governance constraints. Tasks that are modular, repetitive, and evaluable at the frame or asset level are more exposed to automation and price compression, while roles requiring narrative judgment, performance timing, and cross-shot consistency are more likely to be “augmented” rather than replaced. At the same time, legal and policy developments increasingly make provenance, authorship control, and training-data questions practical constraints on commercial deployment-especially for studios seeking copyright protection and low-risk distribution. Drawing on a production-chain (“task chain”) framework, this paper analyzes where AIGC substitutes, where it augments, why it can narrow entry-level pathways while increasing demand for supervisory and pipeline roles, and what new opportunity pathways are emerging. It argues that AIGC functions less as a single replacement technology than as a value reallocation engine: competitive advantage shifts toward professionals who can translate creative intent into controllable workflows, enforce consistency, and document compliant production.
AIGC, generative AI, 2D animation, creative labor, diffusion models, workflow governance, copyright, provenance
Copyright (c) 2025 Tingxi Yan (Author) https://creativecommons.org/licenses/by/4.0
Spatial Responses to the Polarization: Trickle-Down Effect in Hunan Based on Remote Sensing
How regional spatial patterns adjust to the shifting balance between economic polarization and trickle-down effects remains insufficiently understood, especially in rapidly developing regions such as Hunan Province. A Regional Economic Score (RES) system is established using the entropy-weight method to depict long-term development trends, while the coefficient of variation and Theil index reveal a shift from polarization to convergence. A provincial core–periphery interaction model incorporating economic linkage strength further captures the radiation and spillover roles of the Chang-Zhu-Tan metropolitan area. Nighttime light-derived indicators, including centroid shifts and standard deviation ellipses, provide intuitive spatial evidence that complements statistical results and reflects general patterns of built-up area evolution. The analysis shows that Hunan’s development trajectory moved from a strong center-driven agglomeration toward a more multi-nodal, spillover-enhanced structure, with core cities exerting sustained positive influence on surrounding regions and stronger linkages reinforcing collaborative dynamics. Overall, the convergence of temporal, spatial, and economic evidence reveals clear surface manifestations of the polarization-trickle-down effect and offers empirical insights for provincial planning and coordinated regional development.
remote sensing, urban built-up areas, polarization-trickling down effects, nighttime light data, Hunan province
Copyright (c) 2025 Zhengliang Wu (Author) https://creativecommons.org/licenses/by/4.0
Mechanisms and Pathways for Digital Technology Empowering the Dissemination of Rural Intangible Cultural Heritage: A Perspective from Symbolic Consumption
Digital technology is reshaping the logic of cultural dissemination. As a living carrier of outstanding traditional Chinese culture, rural intangible cultural heritage (ICH) currently faces dilemmas such as generational transmission disruptions, narrow dissemination channels, and insufficient symbolic transformation. This paper employs Baudrillard’s theory of symbolic consumption as its theoretical core, integrating multiple research methods to explore the empowerment logic of digital technology. The findings reveal that digital technology activates the dissemination ecosystem through a three-dimensional mechanism of “symbolic reconstruction-immersive scenarios-user participation.” Implementation pathways manifest as the instrumentalization of technology, ecologization of platforms, and hybridization of talent. However, challenges persist, including the short-term efficacy of traffic generation, cultural distortion, and the digital divide. Based on these insights, the paper proposes recommendations such as delving deeply into symbolic connotations, constructing a tripartite co-governance model, and cultivating compound talent. These suggestions provide support for the living inheritance of rural ICH and high-quality industrial development, aligning with the requirements of rural revitalization and the construction of a culturally strong nation.
digital technology, rural intangible cultural heritage, symbolic consumption, dissemination mechanism
Copyright (c) 2025 Xingyu Lu (Author) https://creativecommons.org/licenses/by/4.0
Double-edged Sword: Challenges and Opportunities for the Fairness of Female Athletes in the Era of Artificial Intelligence
The penetration of artificial intelligence (AI) technology in the sports field is reshaping athletes’ training, evaluation, media presentation, and commercial value with unprecedented depth and breadth. However, this technological innovation is not value-neutral and may have divergent effects on athletes of different genders. This article explores the dual impact of AI on fairness for female athletes. By analyzing existing literature, this study identifies algorithmic discrimination from historical data bias, AI-driven media stereotypes, and ethical risks from biometric monitoring as primary challenges. Conversely, AI also presents significant opportunities to counteract bias through objective performance analysis, personalized training tailored to female physiology, and enhanced fan engagement. We conclude that to ensure AI promotes gender equality in sports, proactive interventions in algorithm design, data governance, and ethical standards are imperative.
artificial intelligence, gender equality, algorithmic bias, data ethics, women’s sports
Copyright (c) 2025 Yunhua He (Author) https://creativecommons.org/licenses/by/4.0
Process-Tracing the Shift in UK’s China Policy Post-2020
Over the past decade, Sino-British relations have shifted significantly - from the so-called “Golden Era” of 2015 to a period marked by growing strategic tensions. This paper employs a process-tracing method and a mid-level national security framework to investigate the causal mechanisms behind this policy transformation, following the logic that UK’s focus on China has gradually shifted from economic cooperation to national security concerns. This shift followed a sequential logic: it began with a series of triggering events in 2020 - including the COVID-19 pandemic, the Huawei ban, and the enactment of the Hong Kong National Security Law - which catalysed the development of a coherent policy framework as outlined in the Integrated Review 2021. This Review then laid the foundation for UK’s subsequent domestic legislative practices and enhanced multilateral security cooperation with other states, especially through the “Indo-Pacific Tilt” strategy, culminating in an overall transformation of its China policy. However, this process is not totally dominated by the UK itself, but driven by a combination of domestic political pressures, external influence - mainly from the US - and its rising anxieties over China’s growing global presence. These dynamics reflect the UK’s diminishing strategic autonomy in foreign policymaking and its relative decline in global power.
Sino-British relations, policy shift, national security, Indo-Pacific tilt, process tracing
Copyright (c) 2025 Yuhui Ying (Author) https://creativecommons.org/licenses/by/4.0
Innovative Path and Development of Integrating Red Culture into Daily Ideological and Political Education of College Students
As the spiritual crystallization of the Communist Party of China’s arduous yet glorious struggle, red culture contains abundant elements for ideological and political education. In the context of ideological and political education in universities during the new era, red culture remains constrained in integrating into daily education as a crucial resource for cultivating students’ ideals and beliefs and strengthening value recognition. Based on the practical case of a research team at Sichuan Agricultural University, this paper proposes innovative approaches through three dimensions: theoretical soul-casting, practical empowerment, and Party-building leadership. The aim is to promote systematic, regularized, and comprehensive educational functions of red culture in higher education institutions, providing theoretical support and practical experience for high-quality development of ideological and political work in the new era. This effort also aims to offer solid talent guarantees and spiritual impetus for realizing the great rejuvenation of the Chinese nation.
red culture, ideological and political education, social practice
Copyright (c) 2025 Yuandie Cheng (Author) https://creativecommons.org/licenses/by/4.0
Spaced Repetition and Retrieval Practice: Efficient Learning Mechanisms from a Cognitive Psychology Perspective and Their Empowerment by AI
This paper explores two efficient learning strategies-spaced repetition and retrieval practice-from the perspective of cognitive psychology, and examines their integration with artificial intelligence (AI) technology. It first establishes the theoretical foundation by elaborating on the human memory processes (encoding, storage, retrieval), Ebbinghaus’s forgetting curve, the spacing effect, and the retrieval practice effect, clarifying how these strategies align with the brain’s memory mechanisms. The paper then analyzes the scientific principles of spaced repetition, including its reliance on memory consolidation theory and desirable difficulty theory, as well as the evolution of interval arrangement algorithms from fixed-interval models, e.g., Leitner System, to modern data-driven and deep learning-based systems, e.g., SSP-MMC, LSTM-HLR. For retrieval practice, it compares the cognitive differences between active retrieval and passive review, evaluates the effectiveness of different retrieval forms (free recall, fill-in-the-blank, multiple-choice), and discusses its application in teaching. Furthermore, the study emphasizes the synergistic effect of combining spaced repetition and retrieval practice (forming “spaced retrieval”). And how AI enhances these strategies-adaptive learning systems use large-scale memory data and machine learning to personalize review plans, optimize retrieval difficulty, and improve learning efficiency. Finally, the paper identifies practical challenges, e.g., initial cognitive load, personalized calibration, and proposes optimization strategies, while outlining future directions for AI-integrated learning systems. Empirical evidence throughout the paper confirms that these strategies significantly boost long-term knowledge retention compared to traditional learning methods.
spaced repetition, cognitive psychology, adaptive learning systems
Copyright (c) 2025 Mengqi Huang (Author) https://creativecommons.org/licenses/by/4.0
Analysis of “Reality” and “Abstract” in Dunhuang Architectural Art and Its Modern Applications
As a pivotal node on the ancient Silk Road, the Mogao Grottoes in Dunhuang preserve a millennium-long architectural heritage spanning from the 4th to the 14th century CE. This study establishes a dual-dimensional analytical framework of “Reality-Abstraction” to conduct a systematic investigation into Dunhuang’s architectural art: the “Reality” dimension focuses on physical cave structures (encompassing six primary types, namely meditation caves, pagoda-temple caves, hall caves, nirvana caves, giant Buddha caves, and tomb caves), wooden-eaves buildings, and rammed-earth buildings, exploring how architectural forms adapted to dynamically evolving religious and functional demands; the “Abstraction” dimension examines architectural images in murals, including structural components, building complexes, and pagodas, which can be regarded as visual documents recording eight centuries of historical architectural practices. Through in-depth analysis of 15 representative caves, more than 40 mural scenes depicting architecture, and 8 contemporary architectural projects, this study draws three core conclusions: first, Dunhuang architecture possesses dual-dimensional attributes-physical buildings exhibit functional adaptability and the integration of Chinese and Indian styles, while mural images provide crucial empirical evidence for reconstructing lost architectural traditions; second, the modern translation of Dunhuang elements (rammed-earth craftsmanship, dougong systems, and apsaras patterns) in projects such as the Dunhuang International Convention and Exhibition Center and the Beijing 2022 Winter Olympic Venues has realized the organic integration of traditional cultural connotations and modern architectural functions; third, both physical buildings and murals collectively reflect the cultural integration process along the Silk Road, providing material evidence for the exchange of architectural techniques between the East and the West. This integrated “Reality-Abstraction” framework not only expands the academic dimension of Dunhuang architectural research but also offers methodological references for the study of heritage site-based cultural heritage, while laying a theoretical foundation for the creative transformation of cultural heritage in contemporary architectural design.
Dunhuang, Mogao Caves, ancient buildings, mural element, architectural image, Dunhuang and modern architecture
Copyright (c) 2025 Tianyu Chen (Author) https://creativecommons.org/licenses/by/4.0
The Resurgence of “All-Serbism” and the Intensification of European Integration Stagnation
Taking the resurgence of All-Serbism as a point of departure, this article examines how it systematically impedes the extension of European integration into the Western Balkans through three interrelated pathways: historical legacies, political mobilization, institutional decoupling, and external linkages. Combining historical narrative and policy analysis, the study traces key developments since the disintegration of Yugoslavia-including the 2024 All-Serb Assembly in Belgrade-and evaluates the limitations of the EU’s conditionality instruments in addressing the revival of nationalism. The findings indicate three main patterns. First, All-Serbism has evolved from a domestic political discourse into a transnational identity and geopolitical strategy, becoming a structural force in the region. Second, the EU’s traditional mode of normative projection has lost efficacy in the face of security anxieties and sovereignty-centered politics, while internal Euroscepticism and decision-making fragmentation have further exacerbated enlargement fatigue. Third, external powers-particularly Russia-have amplified this ideology through security cooperation and discursive support. In response, the article argues that the EU should reconstruct its accession mechanism around a dual security-governance framework, implementing flexible and phased compliance, differentiated diplomacy, and socially embedded public diplomacy to enhance institutional resilience and weaken the societal roots of nationalism. The conclusion contends that unless the EU achieves coordinated reforms across institutional, diplomatic, and identity dimensions, the prospect of integrating the Western Balkans will remain constrained by nationalism and geopolitical competition. Future research should further explore the interplay among All-Serbism, Pan-Slavic identity, Russo-European rivalry, and the EU’s internal political cycles.
All-Serbism, European integration, European Union, Western Balkans
Copyright (c) 2025 Xinhao Fu (Author) https://creativecommons.org/licenses/by/4.0
The Relationship between Perceived Transparency and Trust in AIGC-Generated News Content among individuals with tertiary education or higher: A Case Study of Shandong Province
This study examines the relationship between perceived transparency and trust in AI-generated content (AIGC) news among tertiary-educated populations. Drawing on survey data from 408 respondents with tertiary education or higher in Shandong Province, China, we investigated perceptions of transparency in AIGC-generated news and trust levels toward such content. Statistical analysis using SPSS revealed two key findings: First, demographic characteristics, including age and educational attainment, significantly affect audiences' perceived transparency of AIGC-generated news and their trust in this content. Second, perceived transparency exhibits a positive correlation with trust, indicating that higher levels of perceived transparency correspond to increased trust among audiences. These findings advance quantitative understanding of the transparency-trust relationship in AIGC-generated news consumption and offer practical implications for enhancing the credibility and acceptance of AI-generated journalism.
AIGC; transparency, perceived news transparency, trust, college students
Copyright (c) 2025 Yixuan Wang, Meixuan Huo (Author) https://creativecommons.org/licenses/by/4.0
Britain’s South China Sea Policy in the Early 1990s: Evidence from Foreign and Commonwealth Office Archives
After the end of the Cold War, the geopolitical landscape of the South China Sea underwent significant changes. During this period, China preferred to resolve the disputes through negotiation and consultation, while Vietnam, the Philippines, and others continued to reinforce their so-called sovereignty claims over the Spratly Islands through various means. The United Kingdom maintained a generally low profile on the issue but showed internal caution toward China’s growing influence. As a signatory to the Five Power Defence Arrangements, Britain believed that any military friction in the South China Sea might implicate its own security interests. Consequently, it refrained from supporting any party’s territorial claims, yet frequently declared that it was “justified in urging all claimant states to settle their differences through negotiation and to cooperate in the fair and peaceful development of resources.” In assessing the regional security situation, British officials contended that China’s military buildup could provoke an arms race among neighboring states and worsen regional tensions. To preserve its influence in the Asia-Pacific, Britain thus remained watchful of China’s expanding presence in the South China Sea.
South China Sea, United Kingdom, island disputes, policy
Copyright (c) 2025 PhD Candidate, Professor (Author) https://creativecommons.org/licenses/by/4.0
The Daoist Philosophical Practice in the Spatial Construction of Suzhou Gardens, China
As the pinnacle of Chinese classical garden art, Suzhou gardens embody an aesthetic core deeply rooted in traditional Chinese philosophical systems. This study employs the Daoist concept of “wu” (non-being) as its theoretical lens, departing from conventional garden scholarship that emphasizes formal analysis and cultural symbolism. It posits that the essence of Suzhou gardens lies in a “spatial practice of emptiness.” Drawing on paradigmatic cases such as the Garden of the Master of the Nets, the Humble Administrator’s Garden, and the Lingering Garden, the analysis demonstrates how architectural elements (including pavilions, corridors, and windows) employ framing and borrowing techniques to transform evanescent phenomena like skylight and cloud shadows into central motifs of spatial narrative, thereby establishing a visual regime of “capturing being through non-being.” Further examination of meandering structures, such as winding corridors and the Little Flying Rainbow bridge, reveals their non-utilitarian rhythmic cadence as an enactment of the Daoist dictum “the greatest utility resides in uselessness.”
Suzhou gardens, Daoist philosophy, spatial construction
Copyright (c) 2025 Shiyi Dai (Author) https://creativecommons.org/licenses/by/4.0
Can Artificial Intelligence Products Replace the Traditional Model of Intimate Relationships?
The rise of generative artificial intelligence (AI) has led to the emergence of mimicomorphic, emotional products such as AI companions and emotional companion robots, forcing humans to consider for the first time whether nonliving organisms can replace traditional partners. Therefore, from both psychological and sociological perspectives, it is necessary to propose and explore, from an interdisciplinary perspective, how far AI products can replace traditional intimate interpersonal relationships. On the basis of theories of psychoanalysis and evolutionary psychology and in combination with the basic situation of the target users, a human‒machine mutual trust model is proposed and constructed, namely, the three foundations of human‒machine mutual trust, namely, ability, kindness and integrity. The risk of a crisis in the human‒machine relationship is further quantified as a model. Although AI products offer stable, controllable and low-risk emotional companionship and can better meet users' specific psychological needs and have good application prospects in assisting child-rearing, they lack genuine subjectivity, empathy and social embeddedness and are limited in the dimensions of “deep connection” and “common development”, which replace traditional relationships. Therefore, AI products should not be regarded as substitutes for existing intimate relationships but rather as supplements or even “fallbacks” to the original intimate relationships of people. In the future development of human‒machine interactions, people need to coordinate the relationship between technological development and humanistic orientation, build a new model of human‒machine coevolution, and form a “spiritual home”.
artificial intelligence, intimate relationship, emotional companionship, relationship substitution, psychological safety, human–machine interaction
Copyright (c) 2025 Zhiwen Hao (Author) https://creativecommons.org/licenses/by/4.0
Ghosts of Memory: Fleur as Cultural Residue in Stanley Kwan’s Rouge
This essay interprets Stanley Kwan’s Rouge (1987) as a cinematic meditation on queer temporality, cultural memory, affect, and the end of colonial Hong Kong. Through the ghostly presence of Fleur-a ghost-courtesan hovering between the 1930s and 1980s-the film stages the city’s encounter with the onset of modernity, amnesia, and the dissolution of affective and cultural continuity. Influenced by Ackbar Abbas’s theory of déjà disparu and Helen Leung’s notion of queer undercurrents, the analysis argues that Rouge remaps the melodramatic ghost story into allegory for Hong Kong’s “politics of disappearance”, in which memory can only persist in the form of performative traces. Close reading of the critical scenes elucidates how Kwan’s metacinematic mise-en-scène, non-linear temporality, and symbolic lighting create a hauntological site through which love, performance, and identity converge. Lastly, Fleur is no figure of supernatural terror but a haunting persistence of cultural and affective truth-a ghost of memory that sustains Hong Kong’s affective complexity in the face of historical oblivion.
Copyright (c) 2025 Jiaoyang Zhou (Author) https://creativecommons.org/licenses/by/4.0
Critical Evaluation of the Homology Assumption in Offender Profiling
This study aims to critically assess the homology assumption in offender profiling, which posits that offenders who display similar criminal behaviors tend to share similar psychological or socio-demographic traits. Even though offender profiling is commonly used in investigations, there are still exist debates. Previous research has shown a link between how offenders behave and their personal characteristics, but this still be questioned because of the way studies are conducted and how different situations can affect criminal behavior. These differences suggest that assuming that offenders with similar traits might oversimplify things, and it does not take into account how individual traits and their environment really work together.The paper suggests that future research should move past fixed ideas about traits and use more flexible methods, like big behavioral data or computer models, to make predictions better and help with understanding more effectively.
homology assumption, offender profiling, distance decay, situational influences, behavioral variability
Copyright (c) 2025 Changchang Wu (Author) https://creativecommons.org/licenses/by/4.0
Strategies for Improving the Quality and Efficiency of Foreign Language Classes under the “Double Reduction” Policy-Research on Foreign Language Arousal (FLE) and Foreign Language Classroom Anxiety (FLCA)
Under China’s “double reduction” policy, foreign language teaching in compulsory education must reduce students’ extracurricular burdens while ensuring teaching quality, which makes it imperative to improve the quality and efficiency of classroom instruction. On the other hand, research indicates that second language learners experience unique emotional impacts during language learning: foreign language enjoyment (FLE) and foreign language classroom anxiety (FLCA). This paper focuses on the pathways to enhance the quality and efficiency of English classrooms in compulsory education under the “double reduction” policy and uses foreign language enjoyment (FLE) and foreign language classroom anxiety (FLCA) as core emotional variables to explore their mechanisms of influence on classroom efficiency. Through Questionnaire Star surveys and stratified sampling, we conducted a questionnaire survey with 369 students from grades 7 to 9 across three junior high schools (using Dewaele and MacIntyre’s revised FLE scale and Horwitz’s FLCA scale), along with in-depth interviews with three teachers. Quantitative data analysis was performed via SPSS 26.0 (including correlation analysis, regression analysis, and moderated effect tests), and the interview transcripts were analyzed through three-level coding via NVivo 12. The research findings reveal the following: (1) students’ FLE (foreign language experience) generally scores at a moderate level (M=3.42, SD=0.71), whereas FLCA (foreign language competency assessment) is prevalent (M=3.68, SD=0.83), showing a significant negative correlation (r = -0.52, p <0.01); (2) teacher support behaviors and task engagement positively predict FLE (β=0.31,0.28), whereas excessive error correction and a competitive atmosphere significantly exacerbate FLCA (β=0.36,0.29); and (3) high-FLE students demonstrate significantly better classroom participation and academic performance than high-FLCA students do (p<0.001). On the basis of these findings, we propose the “PEAK” emotional enhancement model, which comprises four dimensions: creating positive contexts, high-engagement tasks, authentic language use, and knowledge structuring scaffolding. This model provides empirical evidence for implementing the “double reduction” policy through emotional optimization, aiming to alleviate students’ foreign language learning pressure, enable them to acquire linguistic knowledge in more efficient and structured environments, reduce extracurricular burdens, offer practical references for teachers’ instructional practices, achieve high-quality and efficient classroom outcomes, and promote the effective implementation of the “double reduction” policy.
“double reduction” background, foreign language enjoyment, foreign language classroom anxiety, emotional factors, classroom efficiency, teaching strategies
Copyright (c) 2025 Guanhua Wang (Author) https://creativecommons.org/licenses/by/4.0
Research on Multi-project Efficient Management System in Scientific Research Institutions
With the vigorous development of China's science and technology industry, the number of projects carried out simultaneously by research institutes is increasing day by day. How to manage and operate multiple projects in parallel efficiently, in a standardized and modular way under limited resource conditions has become an important issue that cannot be ignored in the management process of research institutes. By strengthening personnel awareness building, applying the systems thinking mode, modularly cutting the project management process from the top-level planning, precisely dividing and allocating the functions and responsibilities of each management department, an efficient management system can be established. This will enhance the sensitivity of each management department to the project development progress and strengthen their sense of responsibility for controlling the project development progress. Promote the orderly and efficient operation of the project during the research and development process, thereby achieving the long-term goal of maximizing resource utilization and the sustainable development of research institutes.
sustainable development, efficiency, management system
Copyright (c) 2025 Ge Wang, Binning Fan, Jian Li, Hanghang Chen, Baohua Yang (Author) https://creativecommons.org/licenses/by/4.0
Strategic Analysis of International Brands and Local Chinese Brands to Adapt to the Chinese Market——Taking Starbucks and Chayan Yuese as Examples
With the improvement of China’s status in the international market, the competition between international brands and local brands in China is becoming increasingly fierce. This study takes Starbucks and Chayan Yuese as examples and uses literature research and questionnaire survey methods to compare the adaptation strategies of the two in the Chinese market from the four dimensions of brand culture, product design, marketing strategy and consumer feedback. The study revealed that Starbucks, an international brand representative, adopted a standardized and microintegration strategy to carry out element grafting on the basis of maintaining the standardization of core products. Moreover, the local brand Chayan Yuese has adopted a high-integration and deep fusion strategy, fully and deeply embedding itself within traditional Chinese culture and regional characteristics. Both strategies have achieved positive results in the Chinese market, but consumers show a stronger preference for localized products and internationalized marketing. This study deepens the understanding of adaptive and native strategies, providing insights for the cultural integration of multinational brands and the cultural preservation of local brands.
literature research, questionnaire survey methods, Chayan Yuese, Starbucks
Copyright (c) 2025 Ziyi Song (Author) https://creativecommons.org/licenses/by/4.0
Institutional Innovation and Discourse Revolution: A Study on China’s Path in the Reform of Global Governance System
In the context of profound changes in the global governance system, the international order is undergoing a structural transformation from unipolar hegemony to multi-polarization. This paper focuses on the practical path, theoretical innovation and global significance of China’s participation in the reconstruction of the international order. The research holds that China’s path presents distinct dual characteristics of “institutional innovation” and “discourse revolution.” Through institutional construction such as the expansion of the Asian Infrastructure Investment Bank and the BRICS countries, discourse transformation such as the Belt and Road Initiative and the Global Civilization Initiative, as well as the reshaping of rules such as digital economy and climate governance, a practical path with both adaptability and effectiveness has been formed. Based on the typical cases of Saudi-Iran reconciliation and vaccine supply, this paper demonstrates that China’s path creatively integrates the traditional and modern governance needs of civilization, and provides theoretical tools and practical reference for the countries of the global South to participate in the reconstruction of international order.
community of human destiny, global governance, system innovation, rule remodeling, China path
Copyright (c) 2025 Xiong Tian, Wen Li (Author) https://creativecommons.org/licenses/by/4.0
The Impact of AIGC-Generated Advertising on Consumers’ Purchase Intentions: The Moderating Effects of Algorithmic Transparency and Brand Reputation
This paper examines the influence of AIGC-generated advertisements on consumers' purchase intentions, along with the moderating effects of algorithmic transparency and brand reputation in this relationship. Employing an academic framework of “problem orientation - theoretical construction - empirical verification,” the study reveals that while AIGC advertisements have certain negative impacts, algorithmic transparency and brand reputation can form a dual moderating mechanism. These findings provide theoretical foundations and practical implications for the development of the advertising industry in the AIGC era.
AIGC advertising, purchase intention, algorithm transparency, brand reputation
Copyright (c) 2025 Chanyu Yang (Author) https://creativecommons.org/licenses/by/4.0
A Discussion on the Management Model of Shanghai Disney Resort: Strengths and Weaknesses
Shanghai Disney Resort is the sixth Disney resort in the world and the first one within the Chinese mainland. As a crucial component of the globally renowned tourism development series, Shanghai Disney Resort adheres to the principle of “an authentic Disney experience infused with Chinese characteristics”, actively showcasing Chinese cultural elements to domestic and international visitors. Since its completion, the resort has become a new landmark in Shanghai, attracting tourists from around the world, thereby contributing to the high-quality development of Shanghai's and China's cultural and tourism industry. Through a comprehensive analysis of typical cases of tourism development in China’s new era, this paper examines the core features, implementation methods, and pathways of the project’s management model. By integrating recent research findings, it summarizes the strengths and weaknesses inherent in the resort's management model as observed in practice.
Shanghai Disneyland, management model, strengths and weaknesses, leisure tourism, cultural and tourism industry
Copyright (c) 2025 Yiming Liu (Author) https://creativecommons.org/licenses/by/4.0
Challenges and Strategy Construction for “Three-all Education” in the Context of AIGC Development
Artificial intelligence under the development of technological revolution has moved from decision-making artificial intelligence to generative artificial intelligence, but the technological drawbacks brought about by this are bound to pose new challenges to ideological and political education and even the “Three-all Education” in the new era. Based on the current situation, this paper uses literature review and case analysis methods to explore how the three gaps in AIGC (namely the technological access, usage skills, and content creation) exacerbate educational inequality and impact on the goals of “Three-all Education”, namely all-staff collaboration, whole-process coverage and all-round penetration. It also provides theoretical support for establishing a technology-education-ethics embedded collaborative framework in the future.
three-all education, generative artificial intelligence (AIGC), digital and intelligent ideological and political education, innovation in educational pathways
Copyright (c) 2025 Xinming Song (Author) https://creativecommons.org/licenses/by/4.0
Research on Measures to Promote Social Security and Social Integration for Children with Disabilities
As a relatively disadvantaged group in society, enhancing the social security and social integration of children with disabilities plays a crucial role in promoting the spiritual civilization and economic development of society as a whole, while also tangibly improving their life skills and living standards. Through literature review and case studies, this paper analyzes current challenges faced by disabled children in China, such as heavy family burdens, uneven distribution of public welfare resources, and poor social integration. Based on these issues, it proposes a dual-pronged approach through social security and social integration to alleviate these difficulties. At the social security level, increased fiscal investment and optimized resource allocation are needed, alongside establishing cross-departmental collaborative management mechanisms. Regarding social integration, comprehensive efforts should advance high-quality inclusive education, build specialized rehabilitation support systems, foster an inclusive and supportive social and cultural environment, and empower families of children with disabilities. This research offers valuable insights for policy formulation and tangible improvements in the living conditions of children with disabilities.
children with disabilities, social welfare protection, social integration, diverse development
Copyright (c) 2025 Biyun Wan (Author) https://creativecommons.org/licenses/by/4.0
Research on the Competence Dilemma and Countermeasures of Rural Youth Social Workers——Taking City Z in Guangdong Province as an Example
With the advancement of the rural revitalization strategy, the importance of rural social work has become increasingly prominent. As the main force in this field, the competence of rural young social workers directly affects the quality of rural community governance and services. This paper takes rural young social workers in City Z, Guangdong Province as the research object, combines the competence theory, and uses the semi - structured interview method to collect data, analyzing the competence dilemmas of rural young social workers. The research finds that rural young social workers face multiple dilemmas in terms of competence, including insufficient theoretical knowledge, lack of practical skills, vague self - concept, weak personal traits, and declining work motivation. In response to these dilemmas, countermeasures are proposed, such as strengthening professional training, establishing a continuous learning mechanism, enhancing practical skills training, clarifying role positioning, strengthening professional ethics education, shaping personal traits, and improving work treatment and welfare, to improve the competence of rural young social workers and promote the development of rural social work.
young social workers, competence, rural social work
Copyright (c) 2025 Linqi Hu, Yuguang Liang, Zelin Zhang, Henggui Li (Author) https://creativecommons.org/licenses/by/4.0
Research on the Dissemination Effect of AIGC-Generated Content on New Media Platforms—Taking Gen Z as an Example
This study examines Generation Z's (born between 1995 and 2010) acceptance and dissemination patterns of AI-generated content (AIGC) on new media platforms. Understanding how AI-generated content (AIGC) influences Gen Z—a digitally native, socially active yet impressionable demographic—is crucial. AIGC shapes their perceptions, behaviors, and decision-making, raising concerns about misinformation, ethical AI use, and digital well-being. Research in this area can guide policy, education, and technology design to ensure responsible AI adoption while empowering Gen Z to navigate an AI-driven media landscape effectively. Through questionnaire surveys and data analysis of platforms, including TikTok, Bilibili, and Xiaohongshu, along with case studies, the research reveals a dual attitude: entertainment-driven engagement with AIGC and instrumental skepticism. The findings highlight distinctive community-specific behaviors within this demographic. This study reveals the communication mechanisms of AIGC among Gen Z users, providing valuable insights for content creators and platform operators.
AIGC, Gen Z, new media communication, circle culture, algorithm recommendation
Copyright (c) 2025 Hao Zeng (Author) https://creativecommons.org/licenses/by/4.0
The Impact of Human Capital Accumulation and Technological Innovation on the Improvement of Regional New Quality Productivity
Against the backdrop of a new round of technological revolution and industrial transformation, new-quality productivity, as advanced productivity driven by innovation and low-carbon greening, is highly important for promoting high-quality economic development. This article theoretically summarizes the impact logic of human capital accumulation and technological innovation on new quality productivity and uses a double difference model to empirically analyse the impact of human capital accumulation on regional new quality productivity by using urban talent introduction policies as quasi natural experimental identification variables. Research has revealed that (1) the implementation of talent introduction policies has a significant positive effect on new-quality productivity, verifying the importance of human capital accumulation for high-quality economic development. (2) Human capital enhances the level of regional new-quality productivity by influencing technological innovation. (3) Heterogeneity test results reveal that groups with high fiscal self-sufficiency rates, high talent scales, and developed cities have a stronger promoting effect on human capital accumulation, and the more complete the supporting measures of urban talent introduction policies are, the more significant their promoting effect. (4) Considering the factors of policy synergy, the accumulation of human capital and technological innovation have jointly promoted the improvement of regional new-quality productivity. Finally, corresponding policy recommendations were proposed for improving talent introduction policies, promoting regional technological innovation and development, and enhancing policy evaluation and dynamic adjustment mechanisms.
new quality productivity, human capital, technological innovation, high-quality development
Copyright (c) 2025 Yuyan Tan (Author) https://creativecommons.org/licenses/by/4.0
Exploring Practical Pathways for the Legitimacy of Algorithm-Driven Automated Administrative Activities
In the era of algorithms, algorithmic administration presents the dual effects of efficiency improvement and procedural risk, and the tension between its operation logic and traditional administration needs to be systematically studied. Combined with the characteristics of digital technology, the analytical framework of technical due process is constructed, which helps to establish a procedural regulation mode compatible with the characteristics of algorithm. Currently, the core elements of publicity and participation in traditional administrative procedures, such as, are facing problems such as algorithmic black box, data defects, algorithmic discrimination and technological monopoly. These problems hinder public participation, violate the principle of administrative openness, and result in automated decision-making discretionary inaccuracies. In response to these procedural crises caused by algorithmic characteristics, the development of technical due process theory can be adapted from three links: in the input link, the establishment of algorithmic evaluation system to identify whether the algorithm has a negative impact on the public and to measure the degree of its effect; in the operation link, the construction of algorithmic bias correction mechanism and vulnerable groups relief system to reduce discrimination and protect the public interest; in the output link, the strengthening of the algorithmic explanation system to enhance decision-making. In the output segment, the algorithm explanation system is strengthened to enhance the transparency of decision-making, thus realizing the contemporary development of the principle of due process and boosting the rule of law process of China's digital government construction.
technical due process, automated administration, administrative disclosure, algorithmic black box, algorithmic discrimination
Copyright (c) 2025 Bosen Yang (Author) https://creativecommons.org/licenses/by/4.0
Research on Chinese Science Journals Based on DOAJ
Through the study, we explore the development path of open access (OA) in Chinese Science journals based on DOAJ. This article examines the development of Open Access (OA) in Chinese Science journals on DOAJ, using a web-based survey of 86 journals. Data from the DOAJ platform and journal websites were collected and analyzed statistically with EXCEL. Findings indicate that the growth of Chinese Science journals is uneven, with a significant number of journals published in English. Most journals require authors to pay Article Processing Charges (APCs), and only 40.7% offer APC waiver policies. The predominant OA license is CC BY-NC-ND. About 69.77% of journals have a publishing cycle of under 20 weeks, and anonymous peer review is the most common method. Print remains the primary publication format, with few journals having long-term digital preservation or dedicated institutions in China for such preservation. Additionally, there is an imbalance in research themes. Recommendations include increasing the number of OA journals in Chinese Science disciplines and encouraging more Chinese journals to join the DOAJ, waving or reasonably charging APCs, adopting flexible Creative Common Licenses, implementing more rigorous peer review processes, reducing publishing cycles, internationalizing journal formats, and conducting further research on long-term digital preservation and expanding research themes.
DOAJ, Chinese Science journals, digital preservation, Creative Commons license
Copyright (c) 2025 Meiping Wang (Author) https://creativecommons.org/licenses/by/4.0