The illusory truth effect, in which repeated exposure increases trust regardless of accuracy, poses significant challenges to the perceived trustworthiness of health information in digital environments. Although repetition is known to enhance cognitive fluency, little is known about how different modalities influence this effect. Drawing on cognitive fluency and dual-coding theories, this research investigates how repetition and modality interact to shape trustworthiness judgments of health information. Three online experiments were conducted to examine users' perceived trustworthiness of health information across different conditions. Experiment 1 the effect of repetition on messages varying in truthfulness (true vs. false) and familiarity (familiar vs. unfamiliar). Experiments 2 and 3 examined the role of modality (text-only, text-and-image, short video) and cross-modal repetition. Results show that, in the text-only condition, an unfamiliar true message is perceived as more trustworthy than other information. Repetition significantly increases perceived trustworthiness in text-and-image and short video formats, albeit with diminishing returns after two exposures. Cross-modal repetition further amplifies such trustworthiness effects. These findings extend theoretical understanding of the illusory truth effect in multimodal health information environments and offer practical insights for designing interventions to reduce the spread of misinformation on social media.

The illusory truth effect, in which repeated exposure increases trust regardless of accuracy, poses significant challenges to the perceived trustworthiness of health information in digital environments. Although repetition is known to enhance cognitive fluency, little is known about how different modalities influence this effect. Drawing on cognitive fluency and dual-coding theories, this research investigates how repetition and modality interact to shape trustworthiness judgments of health information. Three online experiments were conducted to examine users' perceived trustworthiness of health information across different conditions. Experiment 1 the effect of repetition on messages varying in truthfulness (true vs. false) and familiarity (familiar vs. unfamiliar). Experiments 2 and 3 examined the role of modality (text-only, text-and-image, short video) and cross-modal repetition. Results show that, in the text-only condition, an unfamiliar true message is perceived as more trustworthy than other information. Repetition significantly increases perceived trustworthiness in text-and-image and short video formats, albeit with diminishing returns after two exposures. Cross-modal repetition further amplifies such trustworthiness effects. These findings extend theoretical understanding of the illusory truth effect in multimodal health information environments and offer practical insights for designing interventions to reduce the spread of misinformation on social media.

Mobile health applications (mHealth apps) have surged in popularity for their role in promoting knowledge exchange and providing emotional support among health consumers. However, this enhanced social connectivity via these apps has led to an escalation in privacy breaches, potentially hindering user engagement. Drawing upon the communication privacy management theory, this study proposes a moderated mediation model to link social privacy concerns to user engagement in mHealth apps. An online survey involving 1149 mHealth app users was conducted in China to empirically validate the proposed model. Results indicated that social privacy concerns were negatively related to user engagement in mHealth apps, and perceived privacy of the app partially mediated this relationship. Moreover, perceived control positively moderated the indirect relationship between social privacy concerns and user engagement via perceived privacy. Specifically, the negative impact of social privacy concerns on perceived privacy was mitigated for users who reported higher levels of perceived control, indicating that when users feel more in control of their personal data, they are less affected by concerns over social privacy. Theoretically, this study has the potential to help scholars understand user engagement in mHealth apps from a privacy management perspective. Practically, the results of this study could assist mobile app providers and health professionals in devising evidence-based strategies to enhance social engagement and promote effective and sustainable use of mHealth apps among health consumers.

Investigating the intricate relationship between citation similarity and the citation interval offers vital insights for refining citation recommendation systems and enhancing citation evaluation models. This is also a new perspective for understanding citation patterns. In this study, we used the Library and Information Science (LIS) field as an example to determine and discuss the correlation between citation similarity and the citation interval. Using the methods of data collection, paper title preprocessing, text vectorization based on simCSE, calculation of citation similarity and the citation interval, and calculation of the index per citing paper, this study found the following LIS domain-based results: (i) there is a significant negative correlation between citation similarity and the citation interval, but the correlation coefficient is low. (ii) The citation intervals of the least relevant series of cited papers exhibit a more pronounced susceptibility to citation similarity than the most relevant series of cited papers. (iii) The citation intervals of the most relevant cited papers are more concentrated within 12 years and more likely to be published within the average citation interval, typically from the newer half of the cited paper list and published later within 5 years of the citation half-life. This study concludes that researchers usually pay more attention to the latest and most cutting-edge and strongly relevant existing research than to weakly relevant existing research. Continuous attention and timely incorporation of knowledge into the research direction will promote a more rapid and specialized diffusion of knowledge. These findings are influenced by the accelerated dissemination of information via Internet, heightened academic competition, and the concentration of research endeavors in specialized disciplines. This study not only contributes to the scholarly discussion of citation analysis but also lays the foundation for future exploration and understanding of citation patterns.

Based on the expectancy-value theory, contextual factors related to users’ self-regulated learning (SRL) on medial Q&A platforms were investigated. A theoretical model was developed and validated through an online survey involving 483 participants with experience in health information-seeking on medical Q&A platforms. The empirical analysis yielded three main findings. First, a significant positive relationship existed between searching for health answers and SRL. Second, perceived usefulness of health answers was also positively related to SRL. Third, user satisfaction with the medical Q&A platform partially mediated the relationship between searching for health answers and SRL, as well as the relationship between perceived usefulness of health answers and SRL. This study bridges the gap between the field of self-regulated learning and medical Q&A research, providing valuable insights for improving the well-being of online health information consumers and advancing the information science community.

• In-app purchase culminates in an attractive and convenient shopping environment that encourages impulse buying . • Self-control breakdown fuels cascading negative emotional and behavioral reactions to in-app purchases. • Product appeal moderates complex interdependencies among cognitive, affective, and behavioral reactions to in-app impulse buying. • Affect-Behavior-Cognition model is a fitting theoretical lens for elucidating consumers' post-purchase reactions. Deciphering how consumers react to impulse purchases is vital for sellers to bolster consumers' post-purchase experience and induce subsequent purchase behavior. Contextualized to in-app purchases, this study draws on the Affect-Behavior-Cognition (ABC) model to disentangle the relationships among distinct categories of negative post-purchase reactions and the moderating influence of product appeal on these relationships. Empirical data was collected from an online survey of 376 in-app buyers and Covariance-Based Structural Equation Modelling (CB-SEM) was employed to validate the research model. Analytical results indicate that awareness of breakdown in self-control exerts a positive effect on post-purchase regret while regret positively impact the negative emotions of anger and guilt, both of which in turn drive the concealment of purchased good or service. In-app product appeal is discovered to reinforce the relationships between regret and anger/guilt as well as the relationship between anger and concealment while simultaneously attenuating the relationship between guilt and concealment. This study sheds light on impulsive in-app purchases by delivering a deeper understanding of the interdependencies among constituent post-purchase reactions in the context of in-app impulse buying.

Numerous studies have documented adverse consequences arising from increased technology usage and advocated for a reduction in such usage as a plausible remedy. However, such recommendations are often infeasible and oversimplistic given mounting evidence attesting to users’ growing reliance on technology in both their personal and professional lives. Building on conservation of resources (COR) theory, we construct a research model to explain how mobile application usage, as delineated by its breadth and depth, affects users’ nomophobia and sleep deprivation, which can have negative impacts on users’ health status. We also consider the moderating influence of physical activity in mitigating the effects of mobile application usage on users’ health. We validated our hypotheses via data collected by surveying 5,842 respondents. Empirical findings reveal that (1) nomophobia is positively influenced by mobile application usage breadth but negatively influenced by mobile application usage depth, (2) sleep deprivation is negatively influenced by mobile application usage breadth but positively influenced by mobile application usage depth, and (3) sleep deprivation and nomophobia negatively impact users’ health status, whereas (4) physical activity attenuates the impact of mobile application usage on sleep deprivation but not nomophobia. The findings from this study not only enrich the extant literature on the health outcomes of mobile application usage by unveiling the impact of mobile application usage patterns and physical activity on users’ health but they also inform practitioners on how calibrating usage breadth and depth, along with encouraging physical activity, can promote healthy habits among users.

鉴于国外对错误信息研究的关注日益增长而国内缺乏其相关研究综述,文章从错误信息的成因、负面影响及管控等维度系统性地回顾了国外相关研究.首先,从用户与机器角度述评了错误信息生成研究,从信息源、易感宿主、信息环境视角述评了错误信息传播研究.其次,从用户错误认知发展、错误信息决策制定、用户行为改变方面述评了错误信息负面影响.最后,从信息平台与用户角度述评了错误信息管控研究.文章发现国外现有研究在研究情境、研究视角、研究方法与数据等方面存在局限性.为此,建议未来错误信息研究可进一步细分研究对象、分析技术的综合影响、拓展数据收集和分析方法.

[Purpose/significance]The public online health information search is increasing,and short video platforms have become an important health information medium.There exists a large amount of false health information on the short video platforms,which may be adopted by users.Therefore,analyzing driving factors of false health information adoption of short video users is conducive to the governance of false health information on the short video platforms and the optimization of online health information ecology.[Method/process]To clarify the driving factors of false health in-formation adoption behavior of short video users,this study has contextualized opportunity appraisals(perceived emo-tional support and perceived information superiority),threat appraisals(perceived risk and perceived barriers)and sec-ondary appraisals(health information literacy)under the short video platform context based on coping theory.[Result/conclusion]For primary appraisal,in opportunity appraisal,short video users'perceived information superiority exerts positive significant effect on their false health information adoption,while in threat appraisal,short video users'per-ceived risk exerts negative significant effect on their false health information adoption.For secondary appraisal,the health information literacy of short video users negatively and significantly affects their false health information adop-tion.This study has enriched the online community health information research,extended the research context of coping theory,and clarified the driving factors of false health information adoption of short video users.

[目的/意义]算法社会的来临对个人发展提出了新的目标要求,而算法素养则有助于增强个人与算法交互的能力,为个体提升算法认知和技能、应对算法社会风险、强化算法源头治理开辟了新的路径.鉴于现有研究中的概念局限,算法素养的内涵及要素有待进一步剖析.[研究设计/方法]基于"以人为核心AI"思想和当今聚焦个人发展的核心素养框架,立足多元主体视角界定算法素养的内涵及要素构成.[结论/发现]算法素养包括个体与算法交互的思维层面、态度层面和知识层面三个维度,且不同维度的构成要素因算法生产者、算法使用者和算法监管者等目标主体的改变而存在差异.未来可从理论研究、素养培育与算法治理三个方向深化算法素养的相关研究.[创新/价值]立足多元主体视角初步探索了算法素养的内涵,并针对算法生产者、算法使用者和算法监管者等多元主体提出了由思维、态度和知识层面组成的算法素养要素框架,为未来开展算法素养相关研究、加快全民算法素养提升、助力算法治理提供了清晰指引.

探究在线视频社区用户自我披露行为的影响因素,有助于在线视频社区改善对用户个人信息披露的管理,提高用户活跃度和粘性.文章以MOA为理论基础,以bilibili为研究情境,通过二手客观数据抓取 1,453,652 名有效用户数据,从动机(M)、机会(O)、能力(A)三个维度探究在线视频社区用户自我披露行为的影响因素.研究发现:经济奖励、社会支持以及用户地位均对用户自我披露行为具有显著的正向影响,而同侪认可对于用户自我披露行为具有显著的负向影响.在科技区、运动区和知识区等独立分区下,同侪认可对于用户自我披露行为具有显著的正向影响.研究可为在线视频社区的隐私政策制定以及精准推送提供借鉴.

ABSTRACTBased on the privacy calculus theory, users’ decision‐making on privacy disclosure was traditionally viewed as a trade‐off between perceived values and privacy concerns. However, recent studies suggest that the impacts of users’ cognitive style and platform trust cannot be ignored in the context of social media platforms. From a configurational perspective, this study explores how these factors collectively affect users’ privacy disclosure. Data from 452 respondents on a Chinese social media platform were collected through an online survey. The results suggested that users’ decision‐making on privacy disclosure in social media is a complex process involving different configurations. For field‐dependent individuals, the trade‐off between perceived values and privacy concerns is less important than the role of cognitive style. For field‐independent individuals, beyond the trade‐off between perceived values in different dimensions and privacy concerns, their decisions are also contingent on platform trust.

Purpose As the number of social media users continues to rise globally, a heated debate emerges on whether social media use improves or harms mental health, as well as the bidirectional relation between social media use and mental health. Motivated by this, the authors’ study adopts the stressor–strain–outcome model and social compensation hypothesis to disentangle the effect mechanism between social media use and psychological well-being. The purpose of this paper is to address this issue. Design/methodology/approach To empirically validate the proposed research model, a large-scale two-year longitudinal questionnaire survey on social media use was administered to a valid sample of 6,093 respondents recruited from a university in China. Structural equation modeling was employed for data analysis. Findings A longitudinal analysis reveals that social media use positively (negatively) impacts psychological well-being through the mediator of nomophobia (perceived social support) in a short period. However, social media use triggers more psychological unease, as well as more life satisfaction from a longitudinal perspective. Originality/value This study addresses the bidirectional relation between social media use and psychological unease. The current study also draws both theoretical and practical implications by unmasking the bright–dark duality of social media use on psychological well-being.

Purpose To cope with the COVID-19 pandemic, contact tracing mobile apps (CTMAs) have been developed to trace contact among infected individuals and alert people at risk of infection. To disrupt virus transmission until the majority of the population has been vaccinated, achieving the herd immunity threshold, CTMA continuance usage is essential in managing the COVID-19 pandemic. This study seeks to examine what motivates individuals to continue using CTMAs. Design/methodology/approach Following the coping theory, this study proposes a research model to examine CTMA continuance usage, conceptualizing opportunity appraisals (perceived usefulness and perceived distress relief), threat appraisals (privacy concerns) and secondary appraisals (perceived response efficacy) as the predictors of individuals' CTMA continuance usage during the pandemic. In the United States, an online survey was administered to 551 respondents. Findings The results revealed that perceived usefulness and response efficacy motivate CTMA continuance usage, while privacy concerns do not. Originality/value This study enriches the understanding of CTMA continuance usage during a public health crisis, and it offers practical recommendations for authorities.

Extant literature on measuring the performance of physicians’ knowledge contribution in an online health community (OHC) is limited. To address this gap, this article aims to (1) develop a measurement model for physicians’ knowledge contribution performance; (2) use BP neural network to assign reasonable weight to each indicator of the model; and (3) explore the status and differences of knowledge contribution performance among a group of physicians. Based on the sample of 5407 infectious disease physicians in a Chinese OHC, we propose the measurement model by integrating physicians’ active knowledge contribution (AKC) and responsive knowledge contribution (RKC), covering 11 dimensions of contribution quantity and quality. We employ the BP neural network to optimise the model weights using the initial weight of the model obtained by the entropy method. The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method is used to evaluate the performance of physicians’ knowledge contribution in the OHC. The results show that it is feasible to use BP neural network to assign model weights. The distribution of physicians’ knowledge contribution performance is uneven; only a few have a high-level knowledge contribution performance. Meanwhile, a significant positive correlation exists between a physician’s title and respective knowledge contribution performance. Our research may contribute to related literature and practices by offering a fine-grained understanding of the performance of physicians’ knowledge contribution.

[目的/意义]鼓励在线健康社区医生的知识贡献行为是提升在线健康服务质量、推动在线健康社区可持续发展的重要保障.[方法/过程]文章以好大夫在线为研究对象,采用收益和成本视角,基于模糊集定性比较分析方法(fsQCA)对影响医生知识贡献行为的因素组态进行探究.[结果/结论]结果显示,触发在线健康社区医生知识贡献行为的影响因素组态可分为4类:荣誉收益型、物质收益型、物质与荣誉收益兼顾型以及低成本型,且荣誉收益是影响在线健康社区医生知识贡献行为的核心因素.揭示不同收益和成本因素组态的联合影响机制和实现路径,对在线健康社区提升医生的知识贡献活跃度和参与度具有一定的实践意义.

[目的/意义]在新型冠状病毒肺炎疫情防控常态化的新形势下,更多公众由线下转向在线医疗社区进行日常问诊咨询与健康管理等.通过分析在线医疗社区医生知识贡献行为动因,以期为在线医疗社区专业用户健康信息服务优化提供借鉴.[方法/过程]以好大夫在线为例,通过二手数据抓取,基于社会资本理论将结构资本(用户中心度)、认知资本(领域专业度)、关系资本(人际互惠)、个人动机(用户声誉)进行在线医疗社区内的情景化,以厘清医生知识贡献行为动因.[结果/结论]对于结构资本,用户中心度未能显著影响医生知识贡献行为;对于认知资本与个人动机,领域专业度与用户声誉既会正面影响也会负面影响医生知识贡献行为,取决于医生具体的知识贡献行为类型;对于关系资本,人际互惠是解释医生知识贡献行为的关键动因;结构资本、认知资本、关系资本与个人动机间的交互作用显著影响医生知识贡献行为.

为探究隐匿性抑郁症大学生群体从自身封闭状态向接受阅读疗愈干预意愿转移的影响因素,基于推拉锚定模型,构建了隐匿性抑郁症大学生群体阅读疗愈参与意愿影响因素模型.面向隐匿性抑郁症大学生群体采用问卷调查法进行数据采集,利用结构模型分析数据,结果表明:对于隐匿性抑郁症大学生群体参与阅读疗愈的意愿而言,拉力因素(感知有用性)和推力因素(同伴支持)具有显著正向影响,而锚定因素(隐私披露、惯性)具有显著负向影响.建议阅读疗愈实施者提高隐匿性抑郁症大学生群体对阅读疗愈实施的感知有用性、注重隐匿性抑郁症群体隐私保护、削弱惯性影响并提供同伴支持的友好阅读环境.图3.表5.参考文献50.

This study explores the differences between highlight papers and non-highlight papers from the perspective of academic influence as a crucial insight for evaluating scientific research. Three dimensions are considered: journals, papers, and research highlights. We selected 8 academic journals in the field of library and information science, which are published by Elsevier and indexed by SSCI, and analyzed 5,020 academic papers published therein from 2011 to 2020. The results of our empirical study demonstrate that all journals acknowledge the existence of research highlights, although not all online academic papers provide them. In recent years, the number of highlight papers has increased annually, and more importantly, the proportion has also grown steadily. The ETA square coefficient of citations is higher for highlight papers compared to non-highlight papers. Furthermore, in the training of the innovation recognition model, the effect of the training model that uses the research highlights of academic papers with high citation frequency is better, although the PRF value has a smaller difference.

[目的/意义]对社交媒体中的健康谣言相关研究进行系统剖析,有助于拓展健康信息学的研究视野,为健康谣言的科学治理提供参考借鉴.[研究设计/方法]将文献计量与内容分析相结合,在对健康谣言及其相关概念进行辨析的基础上,以SSCI、SCI、PubMed、CSSCI、CSCD以及北大核心期刊相关数据库作为数据来源,对2022年4月14日前发表的213篇文献进行综述,梳理和总结社交媒体健康谣言特征、传播和治理等方面研究.[结论/发现]研究揭示了社交媒体健康谣言的特征、传播要素以及识别方法,最终构建出社交媒体健康谣言多主体协同治理框架.在此基础上,从构建健康谣言公共语料库、关注多模态健康谣言研究、重视"真实性被证实不为假"的健康谣言、揭示不同媒介健康谣言传播特性的差异、结合图情领域特色与优势的健康谣言研究等角度,对未来社交媒体健康谣言研究进行展望.[创新/价值]在实施"健康中国"战略以及构建中国特色网络治理体系的背景下,通过对国内外社交媒体健康谣言研究进行梳理,厘清了社交媒体健康谣言的研究脉络与发展趋势,提出了未来社交媒体健康谣言研究的方向.