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Application of Large Language Models in Automated Construction of Knowledge Graphs for University Subject Domains TANG Xiaosheng, CHENG Linya, ZHANG Chunhong, ZHU Xinning Journal of Beijing University of Posts and Telecommunications(Social Sciences Edition)    2024, 26 (1): 125-136.   DOI: 10.19722/j.cnki.1008-7729.2023.0107 Abstract （1052）            Knowledge map    Save The rapid development of artificial intelligence has promoted the intellectualization in the field of education, and research on the construction of subject knowledge system by using knowledge graphs has emerged. The knowledge system constructed by knowledge graphs can model the correlation among knowledge points and form the course knowledge context, which is helpful for learners to memorize and understand knowledge in a deep level. However, the teaching resources of subject courses are diverse and scattered, and the existing automatic construction methods often use a single data resource with low resource utilization rate, which is difficult to provide guidance for the construction of professional knowledge systems. Moreover, low degree of automation and high cost need different modules to process the unstructured texts and generate the graphs, so reproducibility and portability are weak. Therefore, an optimization process of subject knowledge graph construction is proposed based on the large language model, which highly integrates the advantages of the large language model and the logical correlation of knowledge in various subjects. Specifically, taking the major of communication as an example, the powerful function of a large language model such as ChatGPT is used to design a knowledge system through subject knowledge analysis by using a variety of knowledge sources, so as to automatically extract knowledge entities and knowledge relations based on teaching resources to form a final subject knowledge system, which can also be introduced to other subject fields.  Related Articles | Metrics

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Low-carbon City Pilot Policy and Enterprises’ Attention to Digital Transformation—A Quasi-experimental Study Based on Listed Manufacturing Enterprises in China WANG Yanyu, CHEN Yihan Journal of Beijing University of Posts and Telecommunications(Social Sciences Edition)    2024, 26 (1): 31-47.   DOI: 10.19722/j.cnki.1008-7729.2023.0075 Abstract （293）            Knowledge map    Save  The CPC Central Committee’s decision to reach peak carbon emissions before 2030 and achieve carbon neutrality before 2060 not only concerns a community with a shared future for mankind, but also, to some extent, adjusts the developing mode of China’s economy in the future. In the process of the great rejuvenation of the Chinese nation, low-carbon economy and digital economy are integrated, and low-carbon transformation and digital transformation complement each other. Therefore, the low-carbon city pilot policy from 2010 is taken as a “quasi-natural experiment”. Based on the micro-data of listed manufacturing enterprises from 2008 to 2020, the multi-time point DID (difference in differences) model is used to explore the influence of the policy on enterprises’ attention to digital transformation and its mechanism. The research shows that the low-carbon city pilot policy significantly improves enterprises’ attention to digital transformation; Enterprises located in pilot low-carbon cities pay 8.5% more attention to digital transformation than those not located in pilot low-carbon cities. This policy increases the attention of enterprises’ digital transformation through two mechanisms: risk at the enterprise level and enterprise output. In the heterogeneity analysis, the influence of this policy on the attention to enterprises’ digital transformation is significantly different among enterprises with different ownership and different ages. This paper provides an important empirical test for China’s listed manufacturing industry that should increase its attention to enterprises’ digital transformation in the low-carbon transformation, provides further research on the digital effect of policy effects, and lays a solid foundation for research on the cross-prospect of low-carbon and digitalization in the future. Related Articles | Metrics

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Impact of Urban Digital Economy on Total Factor Productivity of Manufacturing Enterprises SUN Xiangxiang, QIU Lingxian Journal of Beijing University of Posts and Telecommunications(Social Sciences Edition)    2024, 26 (1): 16-30.   DOI: 10.19722/j.cnki.1008-7729.2023.0163 Abstract （272）            Knowledge map    Save ased on the data of 283 prefecture-level cities’ digital economy from 2010 to 2020 and 2145 A-share manufacturing listed companies, the effect of the urban digital economy on total factor productivity of manufacturing enterprises is examined. The results show that: (1) Overall, the urban digital economy can significantly improve total factor productivity of manufacturing enterprises; (2) The mechanism research shows that the urban digital economy promotes technological innovation of manufacturing enterprises and alleviates financing constraints, thereby improving total factor productivity; (3) The heterogeneity analysis finds that the urban digital economy has more significant promotion effects on total factor productivity of manufacturing enterprises in the eastern region and large-scale cities, and also of non-state-owned manufacturing enterprises. The research conclusions provide reference for formulating digital economic development strategies and implementing enterprise strategies. Related Articles | Metrics

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Legal Regulation of Mechanism of Cyber-human Embodied Game Addiction HUANG Zhuzhi Journal of Beijing University of Posts and Telecommunications(Social Sciences Edition)    2024, 26 (1): 66-75.   DOI: 10.19722/j.cnki.1008-7729.2023.0149 Abstract （303）            Knowledge map    Save After National Press and Publication Administration began to supervise online games, although the department implemented the first administrative punishment for violating the anti-addiction management regulation in 2021, the gap of online games supervision has not been completely filled. From the perspective of the impact of games on survival, entertainment and capital, cyber-human and their cyber behaviors have been completely digitized, and cyber-human’s body and mind have completely left the digital game, only becoming a symbol of capital value added. Although the “Internet Information Service Algorithm Recommendations Management Regulations” has defined “inducing users to indulge in games and over-consume” to a certain extent, the effect of regulation is not obvious. The regulations also face the argument of cyber-human’s free will to choose indulgence, and the difficulty in balancing the huge social value with personal value of online games. The overall regulation has become a trend, so it is advisable to establish a standard for Internet addiction disorder based on the laws, in order to lay a foundation for declaring tort liability for online addiction, and to actively establish a public interest litigation mechanism, improve algorithm administrative ability and detail the supervision models for algorithm. Related Articles | Metrics

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Does Digital Transformation Promote Groundbreaking Innovation of Enterprises?—Based on Empirical Evidence from China’s A-share Listed Companies LI Hongbing, LI Rouyan, TANG Lian Journal of Beijing University of Posts and Telecommunications(Social Sciences Edition)    2024, 26 (1): 1-15.   DOI: 10.19722/j.cnki.1008-7729.2023.0175 Abstract （506）            Knowledge map    Save Based on the data of segmented patents and digital transformation of A-share listed companies from 2011 to 2021, the quantity and the quality of authorized patents are used to measure the level of groundbreaking innovation of enterprises, and the impact of digital transformation on groundbreaking innovation and its internal mechanism is empirically tested through the instrumental variable method and the time-varying DID (Difference-in-Differences) model. The study reveals that the digital transformation significantly promotes the level of groundbreaking innovation of enterprises, and the effect is more obvious in private enterprises, capital-intensive enterprises, enterprises in southern and coastal areas, high-tech industries and high-competitive industries. The mechanism analysis shows that the enhancement of groundbreaking innovation capability of enterprises is mainly caused by the optimization of the structure of labor force, the increase in R&D intensity and total factor productivity brought about by enterprises’ digital transformation. Further, it is found that smart city pilots promote the digital transformation and the improvement of groundbreaking innovation level of enterprises. Based on the quality of patents, it is found that there is a significant “U-shaped” relationship between digital transformation and groundbreaking innovation quality of enterprises. The above conclusions provide important empirical evidence and policy enlightenment for enterprises to accelerate the digital transformation and obtain groundbreaking innovation. Related Articles | Metrics

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Administrative Regulations on Copyright Infringement by Web Crawlers MO Zhangqin, LU Yi Journal of Beijing University of Posts and Telecommunications(Social Sciences Edition)    2024, 26 (1): 59-65.   DOI: 10.19722/j.cnki.1008-7729.2023.0142 Abstract （240）            Knowledge map    Save Web crawler is an emerging Internet technology used to automatically search and crawl the specified network information according to the order, but there is a risk of being abused. Web crawler is a tool of crawling network copyright data information, and copyright infringement by web crawling behaviors happens frequently. At present, regulations for copyright infringement by web crawling behaviors are always found in civil laws and criminal laws, while administrative regulations are ignored. Current administrative regulations for copyright infringement by web crawling behaviors have problems that they rely too much on judicial means, and lack norms and online supervision made by administrative organizations. All these hinder the application and development of administrative regulations for copyright infringement by web crawling behaviors. In this regard, administrative means should be used to restrain copyright infringement by web crawling behaviors and protect the legal interests of copyright owners through building a full-coverage warning system, improving the copyright management, and setting up self-regulatory obligations for web crawler users, etc. Related Articles | Metrics

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Advancing Rural Revitalization on All Fronts Through a Chinese Path to Modernization—From Perspective of Urban-Rural Integrated Development SONG Rui Journal of Beijing University of Posts and Telecommunications(Social Sciences Edition)    2024, 26 (1): 109-116.   DOI: 10.19722/j.cnki.1008-7729.2023.0166 Abstract （508）            Knowledge map    Save Advancing rural revitalization on all fronts is an important issue and a difficulty in a Chinese path to modernization, and the answer to rural revitalization must be found in the time-space dialogue of rural-urban relationship. Sorting out the historical changes of rural modernization transformation and analyzing the difficulties of rural modernization behind the urban-rural imbalance are very important for exploring the characteristic solutions of a Chinese path to rural modernization. In the new era and on the new journey, advancing rural revitalization on all fronts through a Chinese path to modernization must adhere to the path of urban-rural integrated development, promote the reform of systems and institutions through systematic thinking, and support rural revitalization at the institutional level; must promote the construction of spiritual civilization with dialectical thinking and enhance the spiritual power of rural revitalization; must promote the upgrading of the governance system with innovative thinking and enhance the organizational vitality of rural revitalization. Related Articles | Metrics

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Influence of Relational Bonds on Purchase Intention from Perspective of Ambivalent Attitude YUE Xin, HUANG Nan Journal of Beijing University of Posts and Telecommunications(Social Sciences Edition)    2024, 26 (1): 99-108.   DOI: 10.19722/j.cnki.1008-7729.2023.0100 Abstract （256）            Knowledge map    Save Using the stimulus-organism-response (S-O-R) model in relationship marketing and Hovland’s attitude change-persuasion model, a comprehensive conceptual framework which combines three kinds of relational bonds, ambivalent attitudes, purchase intention and types of new product improved attributes is built and tested. Based on 490 valid questionnaires from social networking site, AMOS26.0 and SPSS26.0 are adopted to evaluate the measurement model and the structural model. The empirical results show that the three kinds of relational bonds directly and indirectly affect consumers’ purchase intention through consumers’ final ambivalent attitudes, and the influencing direction and the influencing degree are moderated by consumers’ initial ambivalent attitudes and types of new product improved attributes. Related Articles | Metrics

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New Enlightenment of Marxist Learning Party Construction—Reflection on “Reform Our Study” MA Jianyong Journal of Beijing University of Posts and Telecommunications(Social Sciences Edition)    2024, 26 (1): 117-124.   DOI: 10.19722/j.cnki.1008-7729.2023.0092 Abstract （368）            Knowledge map    Save Exploring the experience of building a learning-oriented party in “Reform Our Study” based on basic principles, positons and methods of historical materialism is important to the building of a Marxist party with right learning attitudes, advanced ideas and excellent conduct. The enlightenment is mainly that, to build a learning-oriented party, adhering to a practical and realistic learning attitude is the prerequisite and foundation, the combination of theory and practice and applying knowledge into practice is the key hub, problem-oriented and problem-based learning are effective paths, and cultivating historical thinking is the ideological driving force. Related Articles | Metrics

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Educational Question-Answering Systems Based on Large Language Model ZHANG Chunhong, DU Longfei, ZHU Xinning, ZHAO Hui Journal of Beijing University of Posts and Telecommunications(Social Sciences Edition)    2023, 25 (6): 79-88.   DOI: 10.19722/j.cnki.1008-7729.2023.0094 Abstract （1657）            Knowledge map    Save This paper aims to investigate the application of the Large Language Model in educational question-answering systems, and explore its optimization strategies in the educational domain. In recent years, methods based on pre-trained models have garnered much attention in the field of natural language processing. Large Language Model, as a pre-trained language generation model, holds promising potential for reducing development costs and enhancing accuracy in educational question-answering systems. A comprehensive analysis is made from three key aspects: the practical application of Large Language Model in educational question-answering systems, its impact on the educational sector, and optimization approaches. Regarding the practical application in education, the effects of multi-turn question-answering, zero-shot (few-shot) learning, and multi-modal query handling are investigated, and a quantitative analysis is conducted. Additionally, a strategy based on Hard Prompts is explored, aiming at elevating the performance and applicability of Large Language Model in educational question-answering systems. Through a comprehensive evaluation of its strengths and limitations, reference and guidance are provided for intelligent tutoring within the realm of education. Related Articles | Metrics

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Digital Identity Recognition: Conflicts of Law, Ethics and Technology in Future Human-machine Interaction JIN Mengge Journal of Beijing University of Posts and Telecommunications(Social Sciences Edition)    2024, 26 (3): 11-22.   DOI: 10.19722/j.cnki.1008-7729.2024.0030 Abstract （320）            Knowledge map    Save Digital identity no longer solely pertains to the question of “Who am I”, but rather involves the question of “Who am I perceived to be”. The convergence of digital and virtual identities makes individual identities more fluid, but it also triggers conflicts between identities in the virtual and real worlds. Identity authentication plays a crucial role in human-computer interaction, where the potential bias of machine learning and inequality of digital identity demand more attention. With the rise of the digital economy, identity data is becoming a new symbol of power, embroiling individuals, governments, and corporations in power struggle. The legal field, facing the challenges of digital identity, must keep pace with rapid development of technology while also balance the conflict between identity authentication and privacy rights. Digital identity recognition also touches on issues of digital ethics, so people should reevaluate the relationship between technology and identity, clarify whether the purpose of technology is to serve humanity or replace it, and how to redefine “human” in human-computer interaction. Advancing towards a more human-centered digital identity requires the collaborative progress of technology, law, and ethics, as well as in-depth cooperation and research across various disciplines. In facing unknown challenges, there is a need to expand from the individual question of “Who am I” to the collective question of “Who are we” to foster a positive outlook on the future relationship among technology, identity and humanity. Related Articles | Metrics

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Knowledge Graph and Evolution Logic of Blockchain Empowering Supervision—Bibliometric Analysis Based on CSSCI (2012—2022) LI Le, WANG Xueyan, LUO Jiapeng Journal of Beijing University of Posts and Telecommunications(Social Sciences Edition)    2024, 26 (1): 88-98.   DOI: 10.19722/j.cnki.1008-7729.2023.0145 Abstract （238）            Knowledge map    Save In recent years, blockchain empowering supervision has become a hot topic in the field of blockchain research. Existing studies have not systematically and deeply described the panorama of research on blockchain empowering regulation. Based on this, bibliometric method is used to sort out and review the research on blockchain empowering regulation. Relevant literature data of journals in CSSCI in CNKI from 2012 to 2022 was collected, and the knowledge graph was drawn with CiteSpace. The literature was deeply analyzed from the perspectives of publication volume trends, core authors, major research institutions, major cited journals and papers, keywords and mutations, etc. In light of research methods and research perspectives, it is found that existing studies on blockchain empowering supervision mainly cover three themes: feasibility analysis, specific application fields, and method mode, and the frontier and trend are also analyzed. Related Articles | Metrics

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Construction of Three-level System of Ideological and Political Elements of Curriculum Guided by Cultural Confidence GUO Jing, LUO Rui, WANG Pei, XU Yishan, GUO Yumeng Journal of Beijing University of Posts and Telecommunications(Social Sciences Edition)    2023, 25 (3): 89-97.   DOI: 10.19722/j.cnki.1008-7729.2023.0028 Abstract （323）            Knowledge map    Save Cultural confidence is the value mainline in implementing ideological and political construction and can lead innovation in ideological and political education. In order to explore the effective path and the effect of constructing an ideological and political element system of the curriculum under the guidance of cultural confidence, in the teaching practice of the course of Health Care Administration, the case teaching method was used to sort out the ideological and political case materials, the inductive summary method was used to construct the ideological and political element system of the curriculum, and questionnaire surveys and interviews were conducted among students participating in the course to understand their cognition about the ideological and political construction of the curriculum. The result shows that it is necessary and practical to carry out ideological and political construction of the curriculum, which is conducive to strengthening cultural confidence. Therefore, we should adhere to the guidance of cultural confidence, scientifically and effectively tap ideological and political materials, organically and deeply integrate ideological and political elements, and systematically and comprehensively build an ideological and political system. Related Articles | Metrics

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User Consumption Behavior of Bullet-comment Video Driven by Co-view Experience YUAN Haixia, CHEN Anna Journal of Beijing University of Posts and Telecommunications(Social Sciences Edition)    2023, 25 (3): 29-39.   DOI: 10.19722/j.cnki.1008-7729.2023.0017 Abstract （310）            Knowledge map    Save A bullet-comment type recognition model is constructed based on semantic features, and then the impact of the bullet-comment type on online consumption behavior is explored on the basis of prediction and analysis of types of bullet-comments. The results show that: there is a “herd effect” in the influence of bullet-comments on the process of online consumption behavior. On the whole, the volume and emotion of bullet-comments influence the process of consumption behavior. The volume and emotion of content-related bullet-comments can stimulate users’ experience and trust, and further promote the deep purchase behavior through improvement of post-purchase experience. The volume and emotion of sentiment-related bullet-comments negatively affect individual experience. The increase in volume of communication-related bullet-comments has a positive effect on sharing behavior. The above conclusions enrich the research about instant comments and also have important practical value for the advertising design and the management of bullet-comments. Related Articles | Metrics

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Emotional Teaching of Curriculum Ideology and Politics in Marketing HU Chun, WANG Song, WANG Hanmo, WANG Yixuan Journal of Beijing University of Posts and Telecommunications(Social Sciences Edition)    2023, 25 (6): 89-99.   DOI: 10.19722/j.cnki.1008-7729.2023.0129 Abstract （243）            Knowledge map    Save Taking a Marketing course from a university in Beijing as an example,this study explored how to utilize emotional teaching methods and through which emotional teaching pathways to achieve specific emotional teaching objectives. A research model for emotional teaching pathways and objectives is constructed, and through analyzing data collected through questionnaire surveys by SPSS, the model is validated. The research shows that in different teaching stages, emotional teaching activities carried out by teachers with both online and offline methods can strengthen students’ emotional accumulation, emotional generation, emotional expression and emotional continuation. This approach not only achieves the emotional objectives of elevating the pleasure level, sentiment level, and affection level, but also deepens the perception of both professional knowledge and ideological knowledge, thereby imposing a far-reaching influence on the construction of students’ worldviews and value systems. Related Articles | Metrics

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Households’ Participation in Social Donations:“U”-shaped Income Relationship and Tertiary Distribution XIAO Kaiyuan, FENG Shilan Journal of Beijing University of Posts and Telecommunications(Social Sciences Edition)    2024, 26 (2): 62-77.   DOI: 10.19722/j.cnki.1008-7729.2023.0122 Abstract （197）            Knowledge map    Save  The income effect of Chinese households’ social donation behavior is re-examined. Using data from Chinese Family Panel Studies in 2014, 2016 and 2018, truncated regression and Heckman two-stage model are employed to test and solve possible truncation and sample selection bias problems in OLS (ordinary least square) regression. It is found that the proportion of households’ participation in social donations in China is 19.1%, and the average annual donation in these households is 449.61 yuan. The income elasticity of social donations is 0.29, and the difference from the result of the OLS (0.21) is mainly caused by left truncation. Due to the lower participation rate of middle-income households, social donations show a clear “U”-shaped income relationship. The three modes of households’ participation in tertiary distribution, i.e., gifts, financial support and social donations are compared and the reasons for the differences in the income effects of the three modes are analyzed. Based on the above discussion, it is proposed that channels for households’ participation in tertiary distribution should be further broadened. Related Articles | Metrics

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Obtaining by Morality: Effect of Ethical Leadership on Employees’ Green Behavior ZHANG Zhiming, YANG Xinru Journal of Beijing University of Posts and Telecommunications(Social Sciences Edition)    2023, 25 (5): 75-84.   DOI: 10.19722/j.cnki.1008-7729.2023.0078 Abstract （492）            Knowledge map    Save Ethical leadership is a leadership style that emphasizes ethics, which plays an important role in shaping and promoting employees’ organizational citizenship behavior. Based on social learning theory and SOR (Stimulus Organism Response) model theory, the mechanism and boundary conditions of ethical leadership on employees’ green behavior are discussed. Through the empirical analysis of 310 questionnaires, a moderated mediation model is constructed. The results show that ethical leadership is helpful to the production of employees’ green behavior; The green psychological climate partially mediates the positive influence of ethical leadership on employees’ green behavior; Perceptions of insider status play a positive role in the process of green psychological climate affecting employees’ green behavior. Based on these, leaders should strengthen their own environmental morality, supervise and guide employees’ green behavior, enhance employees’ green psychological climate, deepen employees’ perceptions of insider status, and further make employees show more positive green behaviors to improve the green performance of enterprises. Related Articles | Metrics

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Mechanism of Employee Job Crafting Driven by Large Language Model GAO Zhonghua, XU Yan Journal of Beijing University of Posts and Telecommunications(Social Sciences Edition)    2024, 26 (2): 1-11.   DOI: 10.19722/j.cnki.1008-7729.2024.0023 Abstract （356）            Knowledge map    Save  Large language model, as new application of artificial intelligence, has transformed the way in which employees work, and it is practically meaningful to explore its impact on the content and the form of job crafting. Based on the job demand-resource model, a theoretical framework for the impact of large language model application in the workplace on job crafting is constructed. The application of large language model can bring about structural job resources and social job resources, increase challenging job requirements and reduce hindering job requirements, and further, this will prompt employees to engage in task crafting, relationship crafting, and cognitive crafting. Therefore, the research value of the theoretical framework is discussed and based on current limitations, future research directions are pointed out. Related Articles | Metrics

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Enhancing Interactive Experience through Realism: A Study on the Relationship between the Realism of Virtual News Anchors and User Acceptance WANG Yuanxin, HAN Zhuoyan Journal of Beijing University of Posts and Telecommunications(Social Sciences Edition)    2023, 25 (6): 11-19.   DOI: 10.19722/j.cnki.1008-7729.2023.0125 Abstract （564）            Knowledge map    Save With the rise of the metaverse concept, virtual digital humans are increasingly being applied in various industries. The application of virtual news anchors in the media field is emphasized. The public’s evaluation on the simulation dimension of virtual news anchors is measured through online experiments, the impact of simulation degree on users’ acceptance willingness is analyzed, and a structural equation model is used to examine the mediating role of the uncanny valley effect. It is revealed that the closer virtual digital humans align with human characteristics in terms of appearance, behavior and language habits, the more likely they are to elicit positive emotions in the audience. Consequently, this enhances audience acceptance levels, as well as their willingness to use and watch these digital humans. However, it is found that the mediating effect associated with the uncanny valley is absent. In other words, the uncanny valley effect didn’t exert a significant influence on audience’s willingness to use these virtual news anchors. The audience didn’t show observably negative emotions as simulation degree of virtual news anchors increases. Conversely, the audience more liked virtual news anchors who closely resembled humans, and expectations were formed for the application scenarios of virtual anchors of different genders. Related Articles | Metrics

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Economic Analysis of New Energy Storage Driven by Policies Based on System Dynamics HUANG Yijun, WANG Mengyi Journal of Beijing University of Posts and Telecommunications(Social Sciences Edition)    2023, 25 (6): 20-34.   DOI: 10.19722/j.cnki.1008-7729.2023.0130 Abstract （254）            Knowledge map    Save  Energy storage has been widely applied in the new electric power system because it can improve the regulating ability of the electric power system. Under the existing electricity price and market mechanism, the power generation-side of new energy is facing problems such as uncertain revenue mode of the configuration of energy storage and unclear investment path. Through analyzing energy storage policies at home and abroad, the core elements affecting the economic benefit of the energy storage in typical application scenarios is summarized. By considering the policy guidance of the dual carbon goal, the development path of energy storage technology and the potential of the power market, a simulation model on economic benefit evolution is established by using the system dynamics method. The model predicts that energy storage in new energy power generation-side is economical and conforms to the national policy development. The results show that the government would accelerate the improvement of market mechanism to help the energy storage obtain benefits from markets; the capacity of energy storage, peak-valley power price differences and the cost of technology are important factors affecting the economic benefit. Related Articles | Metrics