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The purpose of this paper is to further explore the co-citation and bibliographic-coupling relationship among the core authors in the field of Chinese information science (IS), to expose research activity and author impact, and to make induction analyses about Chinese IS research patterns and theme evolution.

The research data include 8,567 papers and 70,947 cited articles in the IS field indexed by Chinese Social Sciences Citation Index from 2000 to 2009. Author co-citation analysis, author bibliographic-coupling analysis, social network analysis, and factor analysis were combined to explore co-citation and bibliographic-coupling relationships and to identify research groups and subjects.

Scholars with greatest impact are different from the most active scholars of Chinese IS; there is no uniform impact pattern forming since authors’ impact subjects are scattered and not steady; while authors’ research activities present higher independence and concentration, there is still no steady research pattern due to no deep research existing. Furthermore, Chinese IS studies can be delineated by: foundation or extension. The research subjects of these two parts, as well as their corresponding/contributing authors, are different under different views. The general research status of core authors is concentrated, while their impact is broad.

The combined use of some related methods could enrich the development and methodology research of the discipline, and the results establish a reference point on the development of IS research.

This paper aims to propose a conceptual model for improving the organization of user needs information in the big data environment.

A conceptual model of the organization of user needs information based on Linked Data techniques is constructed. This model has three layers: the Data Layer, the Semantic Layer and the Application Layer.

Requirements for organizing user needs information in the big data environment are identified as follows: improving the intelligence level, establishing standards and guidelines for the description of user needs information, enabling the interconnection of user needs information and considering individual privacy in the organization and analysis of user needs.

This Web of Needs model could be used to improve knowledge services by matching user needs information with increasing semantic knowledge resources more effectively and efficiently in the big data environment.

This study proposes a conceptual model, the Web of Needs model, to organize and interconnect user needs. Compared with existing methods, the Web of Needs model satisfies the requirements for the organization of user needs information in the big data environment with regard to four aspects: providing the basis and conditions for intelligent processing of user needs information, using RDF as a description norm, enabling the interconnection of user needs information and setting various protocols to protect user privacy.

The purpose of this paper is to explore the features of health misinformation on social media sites (SMSs). The primary goal of the study is to investigate the salient features of health misinformation and to develop a tool of features to help users and social media companies identify health misinformation.

Empirical data include 1,168 pieces of health information that were collected from WeChat, a dominant SMS in China, and the obtained data were analyzed through a process of open coding, axial coding and selective coding. Then chi-square test and analysis of variance (ANOVA) were adopted to identify salient features of health misinformation.

The findings show that the features of health misinformation on SMSs involve surface features, semantic features and source features, and there are significant differences in the features of health misinformation between different topics. In addition, the list of features was developed to identify health misinformation on SMSs.

This study raises awareness of the key features of health misinformation on SMSs. It develops a list of features to help users distinguish health misinformation as well as help social media companies filter health misinformation.

Theoretically, this study contributes to the academic discourse on health misinformation on SMSs by exploring the features of health misinformation. Methodologically, the paper serves to enrich the literature around health misinformation and SMSs that have hitherto mostly drawn data from health websites.

The purpose of this study is to explore the evolutionary path and stable strategy for the competitive dissemination between disinformation and knowledge on social media to provide effective solutions to curb the dissemination of disinformation and promote the spread of knowledge.

Based on the social capital (SC) theory, the benefit matrix is constructed and an evolutional game model is established in this paper. Through model solving and Matrix Laboratory (MATLAB) simulation, the factors that influence disinformation-believing users (DUs) and knowledge-believing users (KUs) to choose different strategies are analyzed.

The initial dissemination willingness, the disinformation infection probability, the knowledge infection probability and the knowledge penetration probability are proved to be crucial factors influencing the game equilibrium in the competitive dissemination process of disinformation and knowledge. Moreover, some countermeasures and recommendations for the governance of disinformation are proposed.

Currently most research interest lies in the disinformation dissemination model but ignores the interaction between disinformation and knowledge in the diffusion process. This study reveals the dynamic mechanism of social media users disseminating disinformation and knowledge and is expected to promote the formation of cleaner cyberspace.

This paper aims to conduct a comparative analysis of the scientific performance of distinguished young scholars in China during the pre-award and early stages of their research careers, aiming to provide insights into their growth pattern.

Spearman correlation was used to analyse the correlation between various academic ages and awarding age of the distinguished young scholars. The Wilcoxon matched pairs test was used to analyse variations in their scientific performance across different research stages.

The findings showed that: a) early successful research experiences significantly impact their emergence as outstanding scientists. While a low correlation exists between publication ages and awards, perseverance proves crucial for later-stage academic achievements; b) productivity increases before awards, with notable variations between first-author and non-first-authored publications; c) collaboration intensifies before awards, particularly in non-first author roles. However, discipline-specific variations highlight the importance of smaller teams and first-author roles, especially in the early career stage; d) the correlation between collaboration and productivity depends on research roles, emphasizing the evolving nature of collaboration dynamics as scholars progress in their careers.

This study could offer a reference for formulating well-founded talent training programs and reward mechanisms.

Studies have indicated that international innovation collaboration has promoted technology transfer and knowledge spillover between countries. The conclusion of various international intellectual property (IP) treaties has played an essential role in optimizing the international innovation and collaboration environment. This study investigates the effect of IP treaties on international innovation collaboration and whether international IP treaties can promote collaboration between a country and other economies in the world.

After collecting and extracting the patent record data from the United States Patent and Trademark Office (USPTO), a final dataset of 3,213,626 cooperative patents and 465,236 pairs of collaborations between two countries or regions is established. Based on the international patent collaboration data of 192 countries during 1976–2017, the changes in patent collaboration indicators after these countries joined 23 IP treaties are analyzed.

International IP treaties have significantly increased the number of patent cooperation countries of a country and its importance in international cooperation networks. The role of IP treaties is more manifested by the increased opportunities for a country's international innovation cooperation than its influence on global innovation; this is of extreme significance for developing countries to introduce advanced technologies.

Ginarte and Park (1997) have confirmed that IP treaties have helped to raise the level of IP protection. In this study, the increase in the degree centrality of the international innovation network is evidence of IP treaties to promote innovation cooperation. For a developing country, joining an intellectual property treaty may strengthen intellectual property protection and optimize its own international innovation cooperation methods.

The purpose of this paper is to explore the factors influencing people’s health knowledge adoption in social media, with an eye toward promoting health information literacy and healthy behavior.

Based on the integration of sense-making theory, social influence theory, information richness theory, fear appeal theory, and ELM (elaboration likelihood method), a health knowledge adoption model is constructed. Taking spondylopathy as an example, high health threat and low health threat experiments and questionnaires are designed to complete the empirical study. In all, 355 effective survey samples are collected and analyzed, leveraging a partial least squares method.

Research results indicate that perceived knowledge quality, perceived knowledge consensus, and perceived source credibility have positive effects on health knowledge adoption via the mediator – trust; knowledge richness contributes to the perception of knowledge quality, source credibility, and knowledge consensus, especially under high health threat; health threat has significant positive moderating effects on the relationship between trust and health knowledge adoption, and the relationship between perceived knowledge quality and trust, with negative moderating effects on the relationships between perceived knowledge consensus, perceived source credibility, and trust.

This paper examines the mediating effecting of trust in the process of health knowledge adoption. Based on the integration of fear appeal theory, social influence theory, sense-making theory, information richness theory and elaboration likelihood model, this study investigates the factors influencing health knowledge adoption in social media from the perspective of a user, and explores the moderating effect of health threat on health knowledge adoption.

This paper aims to investigate user health information seeking and sharing patterns and content in an online diabetes community and explore the similarities and differences in the ways and themes they expressed.

Multiple methods are applied to analyze the expressions and themes that users seek and share based on large-scale text data in an online diabetes community. First, a text classifier using deep learning method is performed based on the expression category this study developed. Second, statistical and social network analyses are used to measure the popularity and compare differences between expressions. Third, topic modeling, manual coding and similarity analysis are used to mining topics and thematic similarity between seeking and sharing threads.

There are four different ways users seek and share in online health communities (OHCs) including informational seeking, situational seeking, objective information sharing and experiential information sharing. The results indicate that threads with self-disclosure could receive more replies and attract more users to contribute. This study also examines the 10 topics that were discussed for information seeking and 14 topics for information sharing. They shared three discussion themes: self-management, medication and symptoms. Information about symptoms can be largely matched between seeking and sharing threads while there is less overlap in self-management and medication categories.

Being different from previous studies that mainly describe one type of health information behavior, this paper analyzes user health information seeking and sharing behaviors in OHCs and investigates whether there is a correspondence or discrepancy between expressions and information users spontaneously seek and share in OHCs.

Online health communities (OHCs) are attracting more and more healthy consumers, including patients, their families, caregivers and the general public. This paper aims to explore the themes and characteristics of patient-generated content (PGC) in Chinese OHCs.

Baidu Tieba for hypertension was selected as the research site. Online ethnography (netnography) approach was utilized to explore the PGC and health communication in the online hypertension community. The final database included 300 randomly sampled threads and their 3,187 reply posts and was further analyzed from three perspectives: health information needs, attitudes and psychological reactions to hypertension and social support exchange.

The members' health information needs were mainly concentrated on five aspects: causes, symptoms, measuring instrument, tests and diagnosis and treatment. Their attitudes and psychological reactions to hypertension varied with the context, for example, disease stage, health condition. Within the health communication, three types of social support – information support, emotional support and network support – were generated, transmitted and exchanged among members.

OHCs are able to serve as important source of health information and tool for health education. The implications and suggestions for health promotion of individuals, health information services optimization of OHCs and national health strategy plans were also discussed.

This is the first netnography study in information field on Chinese online hypertension community. This study provides a new perspective to explore the needs, attitudes and social support behaviors of Chinese hypertension population and also enables the Chinese experience of using OHCs to reduce health disparities to come to the world.