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A Review of Research on Elderly-oriented Digital Products: Demand Mining, Obstacle Analysis and Optimal Design Lin Yuqin　Zhao Yang　Liu Wanting　Wang Lin Journal of Information Resources Management    2024, 14 (4): 146-160.   DOI: 10.13365/j.jirm.2024.04.146 Abstract （750）      PDF（pc） （4159KB）（6775）       Knowledge map    Save The "digital divide" exacerbated by the simultaneous development of population aging and social digitization has become increasingly severe, prompting a focus on the research and design of elderly-oriented digital products within both industry and academia. Using a systematic review approach, this study analyzes 348 research articles on elderly-oriented digital product design indexed in CNKI and Web of Science from 2014 to 2023. It explores the research progress and developing trend of the demand mining, usage obstacles, and optimal design of digital products for elderly users. The findings reveal that research on elderly users' needs mainly focuses on the three levels of material, emotional and spiritual needs, with significant focus on sensory barriers, cognitive barriers, behavior barriers and psychological barriers in product usage. The study investigates elderly-oriented design through various lenses, including design standards, optimization countermeasures, and usability testing. Future research should further consider the evolving nature of digital products and demographic trends by enhancing the methods for sample collection, innovating research methodologies, and expanding the content of studies. The findings of this study provide valuable references for identifying research priorities in elderly-oriented digital product adaptation, spotlighting emerging areas, advancing theoretical frameworks, and also offer practical insights for the proactive development of an age-friendly digital society. Related Articles | Metrics | Comments（0）

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Experts in Information Resource Management Discipline Discussing "The 2024-2035 Master Plan on Building China into a Leading Country in Education"(Part 1): Talent Cultivation and Digital Literacy Education Sun Jiangjun Wu Dan Sun Xin Zhang Jiuzhen Huang Ruhua Li Yanke Journal of Information Resources Management    2025, 15 (2): 4-12.   DOI: 10.13365/j.jirm.2025.02.004 Abstract （282）      PDF（pc） （790KB）（3490）       Knowledge map    Save Related Articles | Metrics | Comments（0）

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Construction of Chinese Classical-Modern Translation Model Based on Pre-trained Language Model Wu Mengcheng　Liu Chang　Meng Kai　Wang Dongbo Journal of Information Resources Management    2024, 14 (6): 143-155.   DOI: 10.13365/j.jirm.2024.06.143 Abstract （331）      PDF（pc） （1784KB）（2473）       Knowledge map    Save This study aims to construct and validate a Chinese ancient-modern translation model based on pre-trained language models, providing strong technical support for the research of ancient Chinese and the inheritance and dissemination of cultural heritage. The study selected a total of 300,000 pairs of meticulously processed parallel corpora from the "Twenty-Four Histories" as the experimental dataset and developed a new translation model—Siku-Trans. This model innovatively combines Siku-RoBERTa(as the encoder) and Siku-GPT(as the decoder), designed specifically for translating ancient Chinese, to build an efficient encoder-decoder architecture. To comprehensively evaluate the performance of the Siku-Trans model, the study introduced three models as control groups: OpenNMT, SikuGPT, and SikuBERT_UNILM. Through comparative analysis of the performance of each model in ancient Chinese translation tasks, we found that Siku-Trans exhibits significant advantages in terms of translation accuracy and fluency. These results not only highlight the effectiveness of combining Siku-RoBERTa with Siku-GPT as a training strategy but also provide important references and insights for in-depth research and practical applications in the field of ancient Chinese translation. Related Articles | Metrics | Comments（0）

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Research on Large Language Model Evaluation for the Generation Task of Natural Language Processing in Classical Chinese Zhu Danhao　Zhao Zhixiao　Zhang Yiping　Sun GuangYao　Liu Chang　Hu Die　Wang Dongbo Journal of Information Resources Management    2024, 14 (5): 45-58.   DOI: 10.13365/j.jirm.2024.05.045 Abstract （600）      PDF（pc） （3124KB）（2450）       Knowledge map    Save The rapid development of large language models (LLMs) presents both opportunities and challenges for their evaluation. While evaluation systems for general-domain LLMs are becoming more refined, assessments in specialized fields remain in the early stages. This study evaluates LLMs in the domain of classical Chinese, designing a series of tasks based on two key dimensions: language and knowledge. Thirteen leading general-domain LLMs were selected for evaluation using major benchmarks. The results show that ERNIE-Bot excels in domain-specific knowledge, while GPT-4 demonstrates the strongest language capabilities. Among open-source models, the ChatGLM series exhibits the best overall performance. By developing tailored evaluation tasks and datasets, this study provides a set of standards for evaluating LLMs in the classical Chinese domain, offering valuable reference points for future assessments. The findings also provide a foundation for selecting base models in future domain-specific LLM training. Related Articles | Metrics | Comments（0）

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Identifying Technology Opportunities from High-Value Patents in Universities: The Case of Generative Artificial Intelligence Ran Congjing　Li Wang　Huang Wenjun Journal of Information Resources Management    2024, 14 (4): 103-116.   DOI: 10.13365/j.jirm.2024.04.103 Abstract （408）      PDF（pc） （2703KB）（2403）       Knowledge map    Save This study proposes a method for identifying technological opportunities of high-value patents in colleges and universities, using theme modeling, mutation level method, machine learning and outlier detection algorithms to further identify technological themes and patented technologies with potential technological opportunities on the basis of evaluating high-value patents in colleges and universities. Taking the field of "Generative Artificial Intelligence" as an example for empirical evidence, the results show that the potential technology themes in the field of "Generative Artificial Intelligence" are centered on cutting-edge areas such as deep learning, neural networks and machine learning, and AI imaging and AI diagnosis and treatment are potential technological opportunities in this field, and the above technologies are vigorously supported by relevant national policies. This method can break through the core problems such as poor targeting of the identification results of a single technology opportunity identification method, low value of the identified patents, and a single form of the identification results, and the relevant identification results can provide decision-making support for the technology transfer, technology research and development, and technological innovation of universities. Related Articles | Metrics | Comments（0）

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The Development Pattern, Dilemmas, and Countermeasures of Government-Led Data Trading Platforms：An Analysis Based on Classical Grounded Theory Hua Meifang　Zhang Yong Journal of Information Resources Management    2025, 15 (2): 73-90.   DOI: 10.13365/j.jirm.2025.02.073 Abstract （152）      PDF（pc） （3045KB）（2199）       Knowledge map    Save Government-led data trading platforms are spearheading the robust development of China's data factor market. This study focuses on five bench mark platforms, employing the classical grounded theory framework to analyze their development patterns and challenges. The findings reveal that their developmental models can be summarized into five key elements: policy guidance, developmental strategies, standardization construction, platform services, and the cultivation of a digital business ecosystem. However, these platforms face several challenges, including a lack of core competitiveness, insufficient interconnectivity, pronounced data silos, and limited transaction scales. To address these challenges, platforms need to expand their market influence through differentiated positioning, joint construction of a standardized interconnected ecosystem, collaborative development of digital business alliances, and active expansion of bilateral user groups. Meanwhile, the National Data Administration should undertake overall planning for platform deplayment, strengthen integrated security supervision, and establish a robust safety framework to ensure the healthy development of the market. Related Articles | Metrics | Comments（0）

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A Study on the Correlation Factors of Psychological Resilience and Impact on AIGC Users’ Dropout Behavior Based on ISM-MICMAC Xie Jing　Zhang Hai　Shi Qin Journal of Information Resources Management    2025, 15 (1): 126-138.   DOI: 10.13365/j.jirm.2025.01.126 Abstract （284）      PDF（pc） （2456KB）（1902）       Knowledge map    Save In order to clarify the influencing factors of user dropout behavior in the context of AIGC, improve the user experience and willingness to continue using AIGC, and promote the high-quality development of domestic AIGC application platforms, this study drew on the grounded theory research paradigm and extracted causal factors of AIGC user dropout behavior through coding analysis of interview sample data. Based on the interpretative structural model, the intrinsic logic and correlation paths of causal factors of AIGC user dropout behavior were explored. Furthermore, the dependencies and driving forces between individual factors were studied using the cross-impact matrix multiplication method in order to identify the key factors influencing the dropout behavior of AIGC users.The research results show that psychological resilience, technological factors, perceived risk factors，and environmental factors are important factors affecting the dropout behavior of AIGC users. At the same time, it was found that psychological resilience can effectively alleviate the negative factors such as technological burden, technological risk, and information overload, and has important theoretical and practical significance for improving the sustained use behavior of AIGC users. At last, effective measures and suggestions have been proposed to resolve the dropout behavior of AIGC users and promote their continued use. Related Articles | Metrics | Comments（0）

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A Multinational Comparative Study of Regulatory Policies for Generative AI from the Perspective of “Tools-Structure” Deng Shengli　Ding Weiwei　Wang Fan　Wang Haowei Journal of Information Resources Management    2025, 15 (1): 54-68.   DOI: 10.13365/j.jirm.2025.01.054 Abstract （570）      PDF（pc） （4448KB）（1852）       Knowledge map    Save Based on the dual perspective of policy tools and structural characteristics, this study takes the regulatory policies of generative AI in different countries as the research object, aiming to explore the structural characteristics and internal connections of the policy elements of generative AI, in order to promote the healthy development of generative AI. A total of 14 effective policy texts were collected, and 327 relevant text units were coded and interpreted using bibliometrics, content analysis, and BERTopic. The structural characteristics were analyzed from three dimensions: policy issuance time, policy issuance subject, and policy theme characteristics. The role paths were discussed by dividing into three types of policy tools: environmental, demand-driven, and supply-driven. The findings show that the regulation of generative AI is still in its infancy, and there are significant differences in the overall characteristics of policies among different countries, with significant differences in the regulatory level. Overall, the role path of policy tools is mainly dominated by the indirect role of environmental policy tools, showing a structural imbalance and bias in the role path. Further comparison of the similarities and differences in regulatory policies among different countries is conducted, and corresponding countermeasures and suggestions are put forward to optimize the policy tool structure, balance the role path of policy tools, assessing the effectiveness of policy implementation, and promote the coordinated development of the generative AI regulatory system. Related Articles | Metrics | Comments（0）

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Information Reach: Influence of the Language Expression of Disaster Warning Message Wang Fang　Hu Qiandai　Ma Xin Journal of Information Resources Management    2024, 14 (4): 36-51.   DOI: 10.13365/j.jirm.2024.04.036 Abstract （424）      PDF（pc） （1739KB）（1751）       Knowledge map    Save In the context of natural disasters, as one of the key factors affecting the effectiveness of emergency management, the effective reach of emergency pre-warning messages is of significant value to enable the target audience to prepare in advance and mitigate disaster losses. To investigate the impact of information expression on the reach of emergency pre-warning messages, this study, based on prospect theory and reference point effect, employed an experimental research method to collect self-reported perception and behavioral data from the audience of pre-warning messages in the context of urban rainstorm disaster. The influences of the information expressions including different reference points on the effectiveness of information arrival were examined. The results indicated that information expression designed based on different reference points has different effects on the reach of disaster pre-warning messages. Specific information reference points and social comparison reference points significantly affect the audience's perception of disaster severity and risk, while the negative impact reference point does not have a significant effect. Furthermore, cognitive load affects the reach of information that contains both comprehensive reference points and specific information reference points related to disaster prevention measures. This study advances the research on information reach theory and has significant implications for improving government information expression, enhancing the effectiveness of disaster pre-warning messages delivery. Related Articles | Metrics | Comments（0）

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Measuring the Academic Value of Scientific Papers by Integrating Innovation and Recognition—A Case Study in the Field of Artificial Intelligence Wu Jiachun　Dong Ke　Chen Xingyuan　Chen Lifang　Sun Jiaming Journal of Information Resources Management    2024, 14 (6): 17-30.   DOI: 10.13365/j.jirm.2024.06.017 Abstract （282）      PDF（pc） （2994KB）（1546）       Knowledge map    Save The full text of papers and their citation relationships convey a significant amount of academic information, which helps characterize the connotation of academic value and improve the precision of value assessment. This study builds a new evaluation index of academic value based on the epistemology of value, integrating the factual knowledge based on the papers themselves with the contingent knowledge based on external citations, and selecting papers in the field of artificial intelligence from the Web of Science database from 1990 to 2021 as the experimental data. Compared with traditional metrics, the academic value measurement proposed in this study comprehensively considers the value of internal innovation(represented by innovativeness), external recognition value(based on citation sentiment, citation intensity, and citation similarity). The results showed that:(1) value of internal innovation was not correlated with either the number of citations or the number of mentions;(2) value of external recognition was positively correlated with the number of mentions but not significantly correlated with the number of citations;(3) and academic value was positively correlated with the number of mentions, value of internal innovation, and value of external recognition, although value of external recognition was not significantly correlated with value of internal innovation. The results revealed that the impact indicator based on the number of citations has a lag and is insufficient to reflect the paper’s innovation. Compared to citation counts, the number of mentions, incorporating citation preference, shows slight improvement in measuring value of external recognition. The academic value measure proposed in this study has certain advantages in integrating the internal and external values of the paper and reflecting comprehensive academic value. Related Articles | Metrics | Comments（0）

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Trends and Future Prospects in Sentiment Analysis of Financial Reviews Texts Wu Jiang　Duan Yiqi Journal of Information Resources Management    2025, 15 (1): 86-101.   DOI: 10.13365/j.jirm.2025.01.086 Abstract （655）      PDF（pc） （5622KB）（1536）       Knowledge map    Save This study surveys recent advancements in sentiment analysis of financial review texts, both domestically and internationally, to delineate the field’s developmental trajectory. Adopting dual perspectives of technology-driven and content-driven approaches, it scrutinizes prevailing research trends. Technologically, the evolution from lexicon-based methods, through traditional machine learning, to deep learning paradigms is summarized. Content-wise, BERTopic and LLaMA3 are employed for document clustering based on scholarly viewpoints, with dynamic topic modeling elucidating domain progress. Findings indicate a domestic transition from sentiment analysis methods to investigations of emotional impacts on financial market prediction. Meanwhile, international research continues progressing deep learning applications while revealing emerging interests in financial sentiment modeling. By integrating these observations, the paper proposes future directions including: (1)constructing high-quality datasets, (2)conducting granular sentiment analysis of financial discourse, and (3)improving the interpretability of analytical outcomes. These recommendations aim to establish methodological foundations for subsequent studies in this field. Related Articles | Metrics | Comments（0）

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The Impact of Regional Technical Criticality and Genericness on Industrial Innovation Performance: A Case Study of the Fuel Cell Vehicle Industry Li Yue　Ma Yaxue　Sun Jianjun Journal of Information Resources Management    2024, 14 (4): 117-132.   DOI: 10.13365/j.jirm.2024.04.117 Abstract （366）      PDF（pc） （5542KB）（1508）       Knowledge map    Save This study investigated the effect of regional technical criticality and genericness on the industrial innovation performance. The findings offer valuable insights for guiding targeted industrial innovation, refining technological development strategies, and optimizing resource allocation. This study took the Chinese Fuel Cell Vehicle industry as the example and represented technical units using 4-digit IPC codes and constructed a multi-layer co-occurrence network that focuses on various segments of the industry chain. This framework enabled the development of metrics to measure technical criticality and genericness, capturing the intricacies of regional technical characteristics. Regional technical advancements were subsequently assessed both temporally and spatially using provincial panel data from China spanning 2010 to 2021. Related Articles | Metrics | Comments（0）

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Generation AI in Human-AI Interaction: Origins, Characteristics and Future Prospects Xu Hao　Cheng Qingxuan　Dong Jing　Wu Dan　Tian Li Journal of Information Resources Management    2025, 15 (1): 13-20.   DOI: 10.13365/j.jirm.2025.01.013 Abstract （453）      PDF（pc） （2333KB）（1478）       Knowledge map    Save The rapid development of artificial intelligence is driving society toward a new era of human-AI interaction (HAII) and reshaping a new generation of minors growing up with AI—Generation AI. This paper reviews the origins and evolution of human-computer interaction (HCI), examining the shift from HCI to HAII, and focuses on the unique traits of Generation AI in this context. By analyzing the interaction modes and characteristics of Generation AI, the study reveals their distinctive attributes in HAII scenarios, including intelligent perception, social contention, and digital embedding across all settings, timeframes, and environments. Finally, the paper envisions the future of human-AI synergy for Generation AI from three perspectives: human-centered design, multimodal interaction, and augmented collaboration, providing a theoretical foundation for building a smart and human-centered society. Related Articles | Metrics | Comments（0）

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Multidisciplinary Intersection and Multi-Scenario Embedding:Review of Domestic and International Research on Data Ethics Zhang Chuhui　Li Zhuozhuo　Pei Lei Journal of Information Resources Management    2025, 15 (2): 91-107.   DOI: 10.13365/j.jirm.2025.02.091 Abstract （166）      PDF（pc） （1589KB）（1162）       Knowledge map    Save In the age of digital intelligence, conflicts in data ethics arising from the exploitation and utilization of data have become increasingly pronounced, challenging societal governance structures and value systems. Research on data ethics has thus emerged as a shared concern across multiple disciplines. This paper adopts a systematic review method to analyze relevant literature, synthesizing data ethics theories and summarizing the core issues in data ethics research. Current studies demonstrate a clear trend toward interdisciplinary integration, with data ethics governance practices embedded across diverse digital contexts. Both theoretical and practical dimensions exhibit characteristics of multidisciplinarity and multi-contextuality. However, there remains significant scope to enhance the systematic, comprehensive, collaborative, and normative aspects of data ethics research. Future studies could explore three key directions: effectively linking empirical and normative research on data ethics, advancing interdisciplinary integration in data ethics studies, and transitioning from context-specific applications to holistic research addressing broader data governance ecosystems. Related Articles | Metrics | Comments（0）

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An Exploration of the Data Assetization Paths for the Three Major Types of Data Ma Feicheng　Sun Yujiao　Xiong Siyue　Wang Wenhui Journal of Information Resources Management    2024, 14 (5): 4-13.   DOI: 10.13365/j.jirm.2024.05.004 Abstract （813）      PDF（pc） （6613KB）（1069）       Knowledge map    Save Data assetization is a key stage in grasping digital opportunities, realizing the value of data, and promoting the digital transformation of the economy and society. This paper argues that public data, enterprise data and personal data are the major subjects of data elements. However, current research on the realization path of data assetization for the three major types of data is insufficient, hindering the release of the value of data elements. In this paper, we systematically review the relevant concepts of data assets, and delve into the path of data assetization from the three major data subjects: public, enterprise and individual. The results shown that public data can serve internal government needs or be supplied to the society, generating social benefits or economic benefits through sharing and opening, and authorized operation, thus forming public data assets. Enterprises, depending on whether they hold data ownership, can carry out different degrees of processing and handling of data, so as to complete the deep excavation of data value and redistribution of data benefits, forming inventory, intangible assets and other types of data assets. The practice related to personal data assetization is limited, mainly relying on two paths: direct transaction between suppliers and demanders or entrusted transaction by data intermediaries to complete market circulation and form personal data assets. Through in-depth exploration of this topic, this study aims to provide theoretical guidance and practical reference for the value realization of data elements and the effective allocation of data resources. Related Articles | Metrics | Comments（0）

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Reflections on Construction of Information Resources in University Libraries Serving National Strategies in the Era of Open Science Huang Ruhua　Shi Leyi Journal of Information Resources Management    2024, 14 (4): 16-28.   DOI: 10.13365/j.jirm.2024.04.016 Abstract （712）      PDF（pc） （907KB）（1019）       Knowledge map    Save The arrival of the open science era has changed the information environment and scholarly communication system, and has also brought new opportunities and challenges to the construction of information resources in university libraries. Based on the national strategies of becoming a leading country in education, science and technology, talent, culture and so on, construction of information resources in Chinese university libraries urgently needs to achieve high-quality development on the basis of serving multiple national strategies. This article proposes countermeasures in four aspects, including: constructing information resources that are consistent with a holistic approach to national security, constructing information resources system needed for the digitalization of Chinese higher education, consolidating the information resource foundation for great self-reliance and strength in science and technology, and strengthening information resource support needed for construction of philosophy and social sciences with Chinese characteristics. Related Articles | Metrics | Comments（0）

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A Study on Automatic Categorization of the Siku Quanshu Based on a Large Language Model Zuo Liang　Zhao Zhixiao　Wang Dongbo Journal of Information Resources Management    2024, 14 (5): 23-35.   DOI: 10.13365/j.jirm.2024.05.023 Abstract （396）      PDF（pc） （2258KB）（992）       Knowledge map    Save The craze of ancient book research and the contemporary requirement of ancient book revitalisation have raised higher requirements for automatic classification of ancient books. This study explores the classification effect of Xunzi large language series models on the automatic classification of ancient books by combining the large language model along the current preface with the 25 categories of corpus from the history and scripture sections of the Siku Quanshu as the input corpus.Through the comparison experiments with its base model, the results show that Xunzi large language models for ancient books have obvious advantages in the automatic classification task of ancient books, among which the Xunzi-Baichuan2-7B large language model has the most significant advantage in the automatic classification task of ancient books, and the overall classification F1 value reaches 96.90%. In addition, the experiments of adjusting the training data size show that the Xunzi-Baichuan2-7B large language model is able to achieve comparable classification results with the base model with only a small amount of data. Therefore, the automatic classification model for ancient books based on Xunzi large language models for ancient books proposed in this study can achieve efficient fine-grained classification of ancient books and opens up a new way for the classification of ancient books in resource-constrained contexts. Related Articles | Metrics | Comments（0）

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Personal Information Protection Misconducts in the Era of Digital Intelligence: An AIGC-Assisted Grounded Theory Analysis Zhao Haiping　Liu Zhixin　Sun Yanchao　Jiang Na Journal of Information Resources Management    2024, 14 (4): 59-69.   DOI: 10.13365/j.jirm.2024.04.059 Abstract （427）      PDF（pc） （1491KB）（988）       Knowledge map    Save The extensive collection and deep utilization of personal information in the era of data intelligence highlight the significance of identifying misconducts in personal information protection. This study, guided by the current personal information protection laws and regulations, qualitatively analyzed 2100 cases of violations of laws. It aimed to identify common prevailing misconducts in safeguarding personal information during data processing activities. AIGC technology was introduced in the analytical process of Grounded Theory to categorize the identified misconducts. As a result, we identified eleven major categories and fifty-five subcategories of personal information protection conducts. We then particularly discussed key issues in personal information protection in the age of data intelligence. The findings of this study can not only offer a theoretical framework for future research in the field of personal information protection but also provide decision support for various organizations and government regulatory authorities. Related Articles | Metrics | Comments（0）

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Research on Theoretical Framework of Breakthrough Paper Identification Based on Citation Perspective Huang Heng　Wang Xuefeng　Chen Hongshu　Lei Ming Journal of Information Resources Management    2024, 14 (6): 31-44.   DOI: 10.13365/j.jirm.2024.06.031 Abstract （340）      PDF（pc） （4852KB）（946）       Knowledge map    Save No consensus has been reached on the characteristics of breakthrough papers and the theoretical models for their identification. The content analysis method is adopted to analyze the similarities and differences between the characteristics of breakthrough papers and breakthrough research. A conceptual model of breakthrough paper identification is constructed from citation perspective and reflects the impact of breakthrough paper on the citation network and mainstream theories. On this basis, a breakthrough paper generation model is proposed. The influence of knowledge recombination on the originality of breakthrough papers is discussed from backward citation perspective. On the other hand, a breakthrough paper diffusion model is proposed to sort out the different paths of scientific impact cross-domain diffusion of breakthrough papers from forward citation perspective. It is found that breakthrough papers may not necessarily have all the characteristics of breakthrough research. The core characteristics consist of a huge influence on scientific research, challenging mainstream theories and interdisciplinary. The study defines the core characteristics of breakthrough papers. The conceptual model, generation model and diffusion model of breakthrough papers identification are constructed to provide a theoretical basis for the subsequent breakthrough paper identification research. Related Articles | Metrics | Comments（0）

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Deepfake Information in AIGC: Generation Mechanisms and Governance Strategies: An Analytical Framework Based on Actor-Network Theory Ran Lian　Zhang Wei Journal of Information Resources Management    2025, 15 (2): 137-150.   DOI: 10.13365/j.jirm.2025.02.137 Abstract （229）      PDF（pc） （2326KB）（935）       Knowledge map    Save Exploring the complex logical mechanisms behind AIGC-driven deepfake information generation has significant practical value for constructing a cognitive framework for understanding deepfake information and formulating targeted governance strategies in cyberspace. Drawing on the actor-network theory, this study constructs a theoretical framework for analyzing AIGC deepfake information generation, focusing on four aspects: problem presentation, allocation of benefits, mobilization, and exclusion of dissent. It further interprets the dynamic process of deepfake information generation in terms of network formation, alliance-building, and stabilization. The findings indicate that the continuous output of AIGC-generated deepfake information is likely to intensify adverse social effects, such as technological domination, truth decay, and moral dissolution. The production and dissemination of deepfake information involve AIGC technologies translating heterogeneous actors through interest-driven strategies, driving the deepfake interest network from formation to stabilization while engaging in a competitive dynamic with opposing organizations. Based on these findings, this study proposes targeted governance strategies for AIGC deepfake information across four dimensions: moral governance, rule of law, technological governance, and crowd-based governance. Related Articles | Metrics | Comments（0）

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Policy Changes in Digital Service Regulation: The EU’s Approach and The China’s Mirror Li Guihua　He Peipei　Huang Lin Journal of Information Resources Management    2025, 15 (2): 59-72.   DOI: 10.13365/j.jirm.2025.02.059 Abstract （80）      PDF（pc） （1951KB）（888）       Knowledge map    Save The negative externalities of digital services on Internet platforms has attracted extensive regulatory attention. The study of the global typical EU digital service regulation policy changes can provide a mirror for China's Internet platform regulation and digital service policy. Based on the policy feedback theory, this paper constructs an analytical framework, standardizes the content and reform practice of the EU digital service regulation policy, and combs the evolution of the EU digital service regulation policy of "lenient responsibility-balanced responsibility-diligence responsibility". In this process, the regulation activities of policy change are influenced by the first order feedforward resource effect and the interpretation effect. The formation of new public policy is shaped by the evolution effect of second-order feedback and the learning effect. Based on this logic, the EU has created a policy reform approach for digital service regulation, which covers three major strategies: policy consolidation, policy learning and policy adaptation. To sum up the experience of EU digital service regulation policy is of great significance for our country to learn from EU approach scientifically and rationally. Related Articles | Metrics | Comments（0）

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Data Production: Concepts, Scenarios, Technologies and Reflections Hu Guangwei　Fan Zhaoyuan Journal of Information Resources Management    2024, 14 (5): 14-21.   DOI: 10.13365/j.jirm.2024.05.014 Abstract （438）      PDF（pc） （3318KB）（877）       Knowledge map    Save Digital transformation offers significant opportunities for the development of the economy and society while also presenting numerous challenges. Issues such as the source of data, continuous supply, cultivation of core data capabilities, and the urgent need to explore data production scenarios and technologies await discussion. By discussing the concept, structure, characteristics, scenarios, and technologies of data production, we hope to draw the attention of both the theoretical and practical sectors to the new business forms of data production, promote the development of new productive forces such as digitalization, intelligentization, and wisdomization, and serve the modernization of China’s digital transformation and governance capabilities. Related Articles | Metrics | Comments（0）

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Research on Online Public Opinion Guidance and Control of Major Emergencies from the Perspective of Actor Network：Analysis Based on the Hybrid Method of SD and fsQCA Li Ming　Hou Tiantian Journal of Information Resources Management    2024, 14 (5): 104-115.   DOI: 10.13365/j.jirm.2024.05.104 Abstract （426）      PDF（pc） （5326KB）（872）       Knowledge map    Save The occurrence of major emergencies often leads to a surge in online public opinion, making the effective guidance and control of such opinions a significant challenge in current public opinion management. From the perspective of actor-network theory, this study constructs an analysis framework for guiding and controlling online public opinion, which includes actors such as events, media, netizens, and government. A system dynamics model is employed to simulate the mechanism of online public opinion guidance and control for major emergencies. Through sensitivity analysis, the key influencing factors are identified. Based on this, the fuzzy set qualitative comparative analysis (fsQCA) method is applied to analyze the conditions configuration to explore effective pathways for online public opinion guidance and control in major emergencies. This study reveals that the severity of the event, the intensity of media coverage, the emotional intensity of netizens, and the level of government attention play crucial roles in guiding public opinion. It is essential to further strengthen the ability to analyze complex influencing factors, emphasize the roles of media and netizen actors, and enhance the organic linkage and effective collaboration between government attention and various actors to ultimately achieve effective guidance and control of online public opinion in major emergencies. Related Articles | Metrics | Comments（0）

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Exploring Factors Affecting Individual’s Social Loafing Propensity in Human-AI Collaborative Creative Task Wang Siran　Yan Qiang Journal of Information Resources Management    2025, 15 (2): 123-136.   DOI: 10.13365/j.jirm.2025.02.123 Abstract （106）      PDF（pc） （1035KB）（851）       Knowledge map    Save Drawn on motivation theory and social cognitive theory, this study investigates the potential factors that affect individual social loafing tendency in these tasks. The findings reveal that task visibility, perceived others’ loafing tendency, and distributive justice significantly affect individuals’ social loafing tendencies when collaborating with AI. Additionally, creative self-efficacy indirectly affects social loafing tendencies through personal outcome expectation and negatively moderates the relationship between perceived others’ loafing tendency and individual social loafing tendency. These results enhance the understanding of how an individual’s social loafing tendency is affected in human-AI collaborative creative tasks and offer practical suggestions for practitioners to improve human-AI collaboration. Related Articles | Metrics | Comments（0）

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Minutes of the 6th(2024) Annual Conference on E-commerce and Digital Innovation He Chaocheng　Yuan Yiming　Chen Haodong　Wu Jiang Journal of Information Resources Management    2024, 14 (5): 159-164,封3.   DOI: 10.13365/j.jirm.2024.05.159 Abstract （170）      PDF（pc） （749KB）（798）       Knowledge map    Save Related Articles | Metrics | Comments（0）

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The Influence of Information Presentation on the Persuasive Effect of Health-related Rumor Debunking Information Zhang Min　Han Xiqing　Shao Jing　Yan Weiwei Journal of Information Resources Management    2024, 14 (5): 132-146.   DOI: 10.13365/j.jirm.2024.05.132 Abstract （320）      PDF（pc） （1201KB）（737）       Knowledge map    Save Health-related rumors in social media under the failure of traditional “gatekeeper” mechanism face the problem of “rumor debunking-reappearing". Focusing on the characteristics of health-related rumors with mixed truths and emotions to explore the persuasive effect of health debunking information, this research provides a better understanding of the debunking information designing and provides useful reference for optimizing rumor management strategies. This research focuses on information presentation, through a 2 (Presentation content: one-sided content vs. double-sided content) ×2 (Presentation form: serious vs. humorous) ×2 (Rumor type: fear vs. hope rumor) online control experiment to analyze their influence on the persuasive effect of health-related rumor debunking information. Presentation content has significant influence on the persuasive effect of health-related rumor debunking information. One-sided (vs. double-sided) debunking information is more persuasive. Rumor type moderates the interaction effect of presentation content and presentation form on the persuasive effect. For hope rumors, it is better to use double-sided and humorous information or one-sided and serious information. Related Articles | Metrics | Comments（0）

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Research on the Copyright Dilemma and Solution Path of Generative Artificial Intelligence Using Previous Works Liu Zubing Journal of Information Resources Management    2024, 14 (5): 147-158.   DOI: 10.13365/j.jirm.2024.05.147 Abstract （565）      PDF（pc） （859KB）（730）       Knowledge map    Save The rapidly development and embedded applications of generative artificial intelligence pose challenges to the existing copyright system. Generative artificial intelligence normalizes the crawling of massive amounts of prior work data, inducing infringement risks. Long distance text semantic understanding ability is intended to cover up infringement traces, and open cross domain generalization reasoning ability provides technical convenience for infringement. In terms of data feeding in works, generative artificial intelligence may cross the boundaries of fair use systems or lead to the extreme of unprotected or overprotected rights in previous works; In terms of copyright-ability of generated content, generative artificial intelligence decouples copyright subjectivity with its high-quality and massive generation ability, meeting the "minimum creative standards" and originality requirements. Propose to establish an endorsement system for the use of prior works to address the problem of rational use of algorithms; Promote the horizontal transition from "author centrism" to "work centrism", and shift the author's rights law starting from personality rights to copyright law starting from property rights; Establish an interpretable generative artificial intelligence originality evaluation mechanism and reinterpret originality standards. Related Articles | Metrics | Comments（0）

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Thirty Years of the Internet in China: Formation and Development of Internet with Chinese Characteristics Xie Xinzhou　Zhang Jingyi Journal of Information Resources Management    2025, 15 (1): 21-29.   DOI: 10.13365/j.jirm.2025.01.021 Abstract （273）      PDF（pc） （741KB）（728）       Knowledge map    Save This article systematically reviews the evolution of the Internet in China over the past 30 years, elucidating the exploration, formation, and development of the Internet development path with Chinese characteristics. China has adhered to an inclusive and symbiotic Internet development philosophy, forming a diverse and balanced Internet system and embarking on a uniquely Chinese way of Internet governance. Key characteristics of the Chinese Internet, such as technology-driven initiatives and industrial innovation, have become significant manifestations of this unique path. The paper summarizes the achievements and contributions of the Chinese Internet while also pointing out the major challenges China faces in the future. It aims to provide beneficial references for the high-quality development and innovative of the Chinese Internet. Related Articles | Metrics | Comments（0）

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The Theoretical Logic and Implementation Path of Digital Industrialization Ma Feicheng　Wang Chunyang Journal of Information Resources Management    2024, 14 (6): 4-16.   DOI: 10.13365/j.jirm.2024.06.004 Abstract （385）      PDF（pc） （1268KB）（718）       Knowledge map    Save Digital industrialization is the core foundation of the digital economy, exerting profound impacts on both the economy and society. This paper first reviews the concepts and measurement methods of digital industrialization and explores its logical development path. Technological innovation and application have transformed the structure and distribution of data, information, and knowledge, leading to the creation of distinctive products and services, which in turn foster the formation of digital industrial chains and clusters. Moreover, digital industrialization integrates with traditional industries, driving their transformation and upgrading. The emergence of new quality productive forces presents significant opportunities for the qualitative transformation of digital industrialization. Building on this foundation, the paper proposes implementation paths for advancing digital industrialization: leading the development of digital infrastructure through "new infrastructure" initiatives, strengthening core technology research and development through original and disruptive technologies, unlocking the potential of data resources through market-oriented reforms in data elements, ensuring a steady supply of digital talent through an improved talent cultivation and recruitment system, fostering digital industrial clusters led by strategic emerging industries, promoting the deep integration of digital industrialization with the real economy through the digital transformation of traditional industries, and unleashing new momentum for digital industrialization by constructing a comprehensive digital industrial ecosystem. This study offers insights into deepening the understanding of digital industrialization and advancing reforms in this critical field. Related Articles | Metrics | Comments（0）

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Construction of the Whole Process Field of Data Element Circulation for the High-quality Development of Digital Economy Ma Haiqun　Liu Xinrui Journal of Information Resources Management    2024, 14 (4): 29-35.   DOI: 10.13365/j.jirm.2024.04.029 Abstract （449）      PDF（pc） （2351KB）（669）       Knowledge map    Save Based on the major strategic needs of the deepening development of the national digital economy, the construction of a full-process field for the circulation of data elements will help improve the overall efficiency of the release of the value of data elements and their transaction circulation, and accelerate the standardization of China's data element market. Related Articles | Metrics | Comments（0）