Subjects: Library Science，Information Science submitted time 2024-07-01 Cooperative journals: 《文献与数据学报》
Abstract： ［Purpose/Significance］This article investigates the influencing factors of network public opinion dissemination in universities, which is of great significance for maintaining the normal order of universities and social stability. ［Method/Process］Based on the motivation theory and the theory of planned behavior, taking universities students in Shandong Province as research object, this article uses the structural equation model(SEM) and the fuzzy set qualitative comparison method(fsQCA), testing 12 hypotheses related to the six influencing variables that affect universities students’ network public opinion dissemination through SEM; exploreing the antecedent configuration that triggers students’ dissemination willingness and communication behavior through fsQCA.［Result/Conclusion］The study found that the effect of individual variable may not be significant, but the cumulative impact resulting from the complex combination of multiple variables cannot be underestimated. Social motivation is the core condition that influences students’ dissemination willingness. The dissemination willingness, information literacy, and trust are key conditions for students’ communication behaviors, each exhibiting a significant positive impact on students’ communication behavior. Awareness of social participation has a mediating effect between social motivation and consciousness of social participation.
Subjects: Library Science，Information Science >> Information Science submitted time 2024-04-01
Abstract： Purpose/Significance With the rapid ascent of large language models, AIGC have become ubiquitous in our daily lives. In order to mitigate potential misuse of AIGC, and to address issues such as the proliferation of false information, academic misconduct, and deceptive commentary, it is imperative to consolidate and forecast advancements in natural language processing techniques aimed at empowering AIGC discernment.［Method/Process］Firstly, it is essential to clarify that AIGC recognition constitutes a binary classification problem, with the aim of discerning whether a given piece of content is generated by artificial intelligence. Subsequently, employing a systematic review methodology, we have delineated the principal research outcomes in the domain of AIGC recognition.［Result/Conclusion］The research identifies the critical significance of comprehensive and high-quality datasets in constructing classifiers for AIGC recognition. Simultaneously, it explores the limitations and developmental objectives of currently popular datasets, as well as potential datasets. Additionally, the paper analyzes paradigms of various classifiers, presents challenges across multiple domains such as multi-domain recognition tasks, cross-lingual recognition tasks, and data ambiguity issues. Finally, it summarizes the prospective development pathways for the future of AIGC recognition. This study aims to provide relevant researchers with a clear introduction and constructive suggestions for constructing more stable and efficient classifiers.
Peer Review Status:
Awaiting Review
Subjects: Library Science，Information Science >> Information Science submitted time 2023-01-08
Abstract： 摘要： 目的/意义 对国际上近三十年网络舆情的主题热点与演变进行可视化研究，为我国学者理清国际网络舆情的发展脉络，快速发现该领域的研究核心与热点问题提供一定的参考。 研究设计/方法 通过Wos检索1993-2022网络舆情文献3084篇，使用VOSviewer进行性能分析和科学制图，以及使用SciMAT检查了三个连续时期关系的主题演变。 结论/发现 创建术语共线地图确定主要的术语类团，使用引用来源的共同引用发现具有影响力的期刊，使用引用参考文献的共同引文分析得到具有影响力的出版物，使用被引作者的共同引用分析和书目耦合链接得到有影响力的作者和国家，然后使用SciMAT得到了三个连续时期关系的主题演变。 创新/价值 使用科学制图和绩效分析对国际现有的网络舆情的研究进行了深度的刨析，科学制图可视化该领域的研究结构，绩效分析集中在各项目的指标上。
Peer Review Status:Awaiting Review
Subjects: Library Science，Information Science >> Information Science submitted time 2023-01-05
Abstract：
Abstract： Purpose/Significance Sociologists develop social network analysis according to mathematical methods, graph theory, etc. Social network analysis is a quantitative analysis method. By comparing and analyzing the research and development trend of social network analysis in the field of library and information in China and abroad in the past five years, this paper provides a reference for better applying social network analysis to the field of library and information in China and promoting the level of scientific research and development in the field of library and information in China. Design/Methodology This paper takes the papers related to social network analysis in the field of library and information science included in the core set of Web Of Science in the past five years and the papers related to social network analysis in the field of library and information science included in the CSSCI of CNKI in China as the research objects, and uses bibliometrics, social network analysis, strategic coordinate analysis and VOSviewer visualization tools for comparative analysis, and makes a visual comparative analysis of the number of documents, the author cooperation network, the author institution cooperation network and the literature subject word network. Findings/Conclusion This paper obtains the research authors and research institutions with great influence on the research of social network analysis in the field of library and information science at home and abroad in the past five years, and makes a comparative analysis of the research hotspots and research frontiers of social network analysis in the field of library and information science at home and abroad in the past five years, reveals the similarities and differences between the research hotspots and research frontiers of social network analysis in the field of library and information science at home and abroad in the past five years, and puts forward some constructive suggestions on the field of library and information science in China.
Peer Review Status:Awaiting Review
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