Library and Information Studies

Research on the Integrated Development Path of Age-Friendly Services in Libraries under the Background of New-Quality Productivity

 [Purpose/significance] The new quality productivity, a revolutionary breakthrough centered on technological innovation, drives the intelligent transformation of library services but also exacerbates the contradiction between the growing digital needs of the elderly population and the widening digital divide. Based on this reality, this study provides practical pathways and theoretical references for the deep integration of new quality productivity and elderly-friendly library services. [Method/process] This study systematically reviews the policy practices, theoretical frameworks, and technological applications of elderly-friendly library services in China. Starting from the connotation and practical characteristics of new quality productivity, it analyzes the pain points and shortcomings of digital-intelligent elderly-friendly services using survey data from public libraries in Liaoning Province. A new triangular model for elderly-friendly services under new quality productivity—“Technology Adaptation—Service Co-Creation—Ecosystem Inclusion”—is then constructed. [Result/conclusion] Innovative pathways for the integrated development of elderly-friendly library services empowered by new quality productivity are proposed, offering theoretical references and practical guidance for building an inclusive and sustainable elderly reading ecosystem.

Breaking Through the Uncertainty Dilemma: Strategies for Library to Deal with the Obstacles of Dark Data Utilization

From Faint Glimmer to Spark: Practical Exploration and Path Optimization of Private Libraries Participating in Rural Reading Promotion

[Purpose/significance] As a valuable supplement to the public cultural service system, private libraries serve as a crucial force in promoting rural reading. Exploring effective ways for private libraries to participate in rural reading promotion carries considerable theoretical significance and practical value for improving the rural cultural service system and facilitating rural cultural revitalization. [Method/process] Taking Faint Glimmer Book House in Neihuang County as the core research object, this paper adopts a combined method of online research and field investigation to systematically sort out and profoundly analyze its specific practices in reading resource construction, reading promotion participants, reading activity systems, reading guidance approaches and service scope expansion.[Result/conclusion] The study finds that by adhering to zero-threshold public welfare book borrowing, innovating the service network featuring cooperative stores plus family reading stations, implementing the reading-plus-incentive guidance mechanism and organizing diverse cultural activities, Weiguang Book House has formed a distinctive "Weiguang Model", which has achieved remarkable effects in optimizing rural educational ecology, stimulating rural economic vitality and narrowing the urban-rural cultural gap.In view of existing constraints including imperfect social coordination mechanisms, weak support from operation and management teams, and limited coverage and influence of reading activities, this paper proposes five optimization strategies for private libraries to better engage in rural reading promotion: establishing a multi-stakeholder collaborative resource integration mechanism, strengthening the cultivation of reading promoters, deepening service connotation and brand innovation, improving reading incentive and efficiency evaluation systems, and exploring diversified sustainable development models. 

Multi-sensory Perception-Driven Popular Science Reading Promotion Model in Public Libraries: A Case Study of Science Literacy Enhancement Program for Youth in Xi’an Library

[Purpose/significance] With artificial intelligence, virtual reality and other emerging technologies increasingly embedded in library services, traditional text-oriented approaches to popular science reading promotion are no longer sufficient to sustain adolescent’ interest or cognitive engagement. [Method/process] Drawing on multi-sensory perception theory, this study develops a theoretical model for popular science reading promotion in public libraries and conducts an empirical analysis through a case study and questionnaire survey. Taking a program at Xi’an Library as an example, a five-point Likert-scale questionnaire was designed and 302 valid responses were collected. Means and standard deviations were calculated, and Pearson correlation analysis was applied to examine sensory dimensions and outcomes such as interest and participation. [Result/conclusion] The findings indicate that a multi-sensory, immersive reading environment effectively enhances adolescents’ interest in science content, with notable strengths in visual information design, interactive audio guidance, tactile devices, and spatial route planning. Based on the case, a replicable multi-sensory model for popular science reading promotion is proposed, offering theoretical support and practical references for public libraries in designing science-related services.

Book News: Research on the Design of Scientific Data Fusion Models and System Construction Published

Perception and Elaboration of Embedded Services by Subject Librarians

Based on a survey of the reception of embedded services among the subject librarians in academic libraries and NSL, the present article reveals their recognition of the significance of embedded service and elaborates on the different levels of their reception and the features and requirements of various ways of embedment such as the embedment of objective, function, process, system, time and space, capability, emotion, and collaboration. It also summarizes and analyzes the difficulties in offering embedded service and the ways to overcome them.

The Status of the Research on the Elaboration Likelihood Model(ELM) and Its Application Fields

[Purpose/significance]The present article aims at analyzing the current status of the research on the Elaboration Likelihood Model(ELM) and its application fields at home and abroad, and exploring the possibility of applying ELM to library and information science. [Method/process] Taking 358 articles retrieved from Web of Science core sets as research objects, and adopting CiteSpace and VOSviewer as research tools, the research fronts as well as hotspots of the ELM are visualized, and the classical literature in the field of ELM is sorted out. Taking representative articles retrieved from Web of Science and CNKI as objects, this article summarizes the main application fields of ELM at home and abroad. [Result/conclusion] The study found that ELM has mainly been applied in the fields of information dissemination, commercial advertising, e-commerce, web design, etc. The authors argue that in future ELM can be used in library and information science to evaluate patents, and analyze their influence factors, technical and legal characteristics.

Review and Reflection of the Information Science Research in China in the Past 30 Years(Ⅱ):An Analysis of the Authors of the Articles in Information Science

The authors of the articles in information science in China in the past 30 years are studied in this paper.First,the number of the authors,the average of the articles per author,and the cooperation degree and rate are analyzed for every year on a five-year basis.And then the core authors in each period,including authors who are on the top list in the number of published papers,the new authors and those who have stopped published papers in this field,are analyzed.At the same time,the fitting of Lotka formula is made for each period.Finally,Author Co-citation Analysis of the core authors is conducted and visualized with Pajek.

Review and Reflection of the Information Science Research in China in the Past 30 Years(Ⅰ):An Analysis of the Annual and Journal Distribution of the Articles in Information Science

In this paper,informatrics,content analysis,social network analysis and other methods are used to analyze the annual and journal distribution of the academic articles in information science in China in the past 30 years.These articles are collected from the "China Periodical Database" according to the keywords in information science listed in "Chinese Classified Thesaurus" and the special data of information science in this Database.And our analysis shows that the chronological distribution of the papers is in line with the logical ascending curve,and the journal distribution is in accordance with Bradford's Law in a five-year period.

Application Status of Knowledge Map Methods in Chinese Social Sciences

[Purpose/significance] The present article aims to reveal the status of the knowledge map(KM) research in Chinese social sciences(CSS). [Method/process] 653 articles related to KM were downloaded from Chinese Social Citation Index(CSSCI) database. The CiteSpace and related tools were employed to analyze the publication trends, high frequency of cited journals and authors, frequently-cited journals and authors, keywords, and classical publications. [Result/conclusion] The application of KM in Chinese social sciences has been increasing rapidly, the key journals, authors and publications were mainly from library and information science. The high frequency keywords show that the focus of KM in CSS is in the bibliometric mapping area,and the education and big data area are active in recent CSS research.

Research on the States,Evolution and Communication Effects of Online Emotion Under Magnitude Outburst Infectious Disease Emergencies:Analysis of Microblog Public Opinion During COVID-19 Pandemic

[Purpose/significance]Online emotion is the major component of online public opinion.Analysis of the emotional states,evolution and communication effects of microblog public opinion during COVID-19 pandemic is helpful for the government’s online public opinion managing and emotion guiding in the circumstance of magnitude outburst infectious disease emergencies.[Method/process]This study obtains data from Sina microblog platform by web crawler.After data cleaning and preprocessing,methods of emotion classification dictionary,naive bayes model and Kruskal-Wallis test are used to analyze.[Result/conclusion]Findings of this study show that the positive emotions dominate online emotion of microblog public opinion during COVID-19 pandemic,in contrast to the negative emotions such as fear,depreciation,fidge and panic;online emotion changes from negative-based to positive-based and generally is on the rise;the communication effects between different orientations of online emotion show statistically differences,which means that compared with the negative and neutral emotions,the positive emotions are easier to be communicated.The research results support existing study conclusions,meanwhile and retrieve new findings.Suggestions are proposed to guide online emotion in online public opinion.

Application Status of Knowledge Map Methods in Chinese Social Sciences

[Purpose/significance] The present article aims to reveal the status of the knowledge map(KM) research in Chinese social sciences(CSS). [Method/process] 653 articles related to KM were downloaded from Chinese Social Citation Index(CSSCI) database. The CiteSpace and related tools were employed to analyze the publication trends, high frequency of cited journals and authors, frequently-cited journals and authors, keywords, and classical publications. [Result/conclusion] The application of KM in Chinese social sciences has been increasing rapidly, the key journals, authors and publications were mainly from library and information science. The high frequency keywords show that the focus of KM in CSS is in the bibliometric mapping area,and the education and big data area are active in recent CSS research.

Review of Research on Application of Deep Learning Network Model in Text Sentiment Classification Task

[Purpose/significance]As an important research direction in the field of natural language processing,text sentiment classification has very important commercial and social value.However,the traditional sentiment dictionary method and machine learning technology cannot meet the requirements of accuracy and efficiency due to their poor performance and small processing scale.Therefore,more advanced technologies are needed for text sentiment classification.Researchers began to explore the application of deep learning technology in the field of text sentiment classification.The deep learning model has also achieved unprecedented results.The accuracy and efficiency of the method are greatly improved,and the applicability is stronger.[Method/process]In this paper,we use Citespace software to analyze the deep learning-based text sentiment classification papers published in China between 2014 and 2020 from six aspects,which are chronological distribution of publication volume,disciplinary distribution,institutional distribution,author distribution,keyword word frequency statistics and clustering,and keyword evolution process.This paper also summarizes the several major research hotspots of deep learning network models in text sentiment classification:convolutional neural networks,long short term memory networks,gated recurrent units,and attention mechanisms.[Result/conclusion]The following directions can be considered for further research in the future:optimizations of deep learning models;subdivision of sentiment granularity;cross-combination with new technologies and research methods to further improve the classification accuracy and efficiency.

The Status of the Research on the Elaboration Likelihood Model(ELM) and Its Application Fields

[Purpose/significance]The present article aims at analyzing the current status of the research on the Elaboration Likelihood Model(ELM) and its application fields at home and abroad, and exploring the possibility of applying ELM to library and information science. [Method/process] Taking 358 articles retrieved from Web of Science core sets as research objects, and adopting CiteSpace and VOSviewer as research tools, the research fronts as well as hotspots of the ELM are visualized, and the classical literature in the field of ELM is sorted out. Taking representative articles retrieved from Web of Science and CNKI as objects, this article summarizes the main application fields of ELM at home and abroad. [Result/conclusion] The study found that ELM has mainly been applied in the fields of information dissemination, commercial advertising, e-commerce, web design, etc. The authors argue that in future ELM can be used in library and information science to evaluate patents, and analyze their influence factors, technical and legal characteristics.

The Relationship Between Adolescent Health Information Literacy and Healthy Behavior

[Purpose/significance]In order to effectively improve health information services for adolescent,and improve youth health behaviors,this paper explores the relationship between adolescent health information literacy and their health behaviors.[Method/process]The snowball questionnaire survey is used to investigate 337 adolescents.And related statistical methods and non-recursive structural equation models are used to study the relationship between adolescent health information literacy and health behavior.[Result/conclusion]The results show that the positive influence between adolescent health behavior and health information literacy is a positive factor for mutual promotion.Health information search is significantly related to adolescent health behavior.Health information literacy can be used as a decision factor for adolescent health behavior and promote future interventions in health behavior.