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Background: In the information age of health care, nurses often face information overload, leading to negative emotions, e.g., anxiety that may impede the adoption of evidence-based practice and clinical decision-making process. Nurses with higher digital health literacy can effectively process and manage information. Despite this, no research has explored the relationship between information anxiety, digital health literacy, and core competency among nurses. Therefore, this study aims to investigate the mediating effects of digital health literacy on information anxiety and core competency among nurses. Methods: From July to October 2023, the data for this cross-sectional study were collected. The study surveyed a total of 608 nurses from three tertiary hospitals in Fujian Province, and the survey instruments included a sociodemographic information questionnaire, Chinese revision version of the Digital Health Literacy Instrument (CR-DHLI), Information Anxiety Scale (IAS), and Competency Inventory for Registered Nurses (CIRN). Descriptive statistics and Pearson correlation analysis were conducted using SPSS 29.0, and the mediating effect of digital health literacy was examined using Mplus. Results: The mean score of nurses' information anxiety, digital health literacy, and core competency was 3.03 ± 0.91, 2.46 ± 0.56, 2.72 ± 0.88, respectively. And the mediation model of information anxiety on core competency for nurses showed a good model fit index (χ²/df = 2.207, CFI = 0.985, TLI = 0.982, RMSEA = 0.045, SRMR = 0.035). Digital health literacy was positively correlated with nurses' core competency but negatively correlated with information anxiety. The results of path analysis revealed that information anxiety had negative and significant direct effects on NCC (β = -0.119, P = 0.004) and DHL (β = -0.297, P < 0.001). DHL had a positive effect on NCC (β = 0.306, P < 0.001). Digital health literacy played a partial mediating role, accounting for 43.54% of the relationship between information anxiety and nurses' core competency. Conclusions: Information anxiety among nurses was at relatively high levels, which had a negative impact on the core competency of nurses. This issue requires attention from nursing managers. The mediating role of digital health literacy in the relationship between information anxiety and core competency among nurses has been established. Nursing managers should strengthen the evaluation of nurses' DHL and devise effective support strategies to enhance DHL, thus improving the core competence of nurses in information age. [ABSTRACT FROM AUTHOR]

Purpose: The discontinuous usage behavior of short video social media presents an ongoing challenge to platform development. The purpose of this study is to investigate the antecedents of intentions to short media discontinuous usage. Design/methodology/approach: This study adopts a Cognition–Affection–Conation (CAC) framework to analyze short video social media discontinuous intention on the basis of cognitive dissonance theory (CDT) and self-efficacy theory. The empirical evaluation of the research model was conducted using SmartPLS 2.0 and was based on questionnaire data obtained from participants in China. Findings: The results show information overload and user addiction have a significant positive association with cognitive dissonance, which is, in turn, found to significantly impact discontinuous usage intention. Self-efficacy moderates the relationships between information overload, user addiction, cognitive dissonance and discontinuous usage. Originality/value: This study contributes to the understanding of the factors that influence short video discontinuous usage intention and it achieves this by engaging from a CDT perspective and by applying Self-Efficacy Theory. Theoretical implications for future short video platform research, as well as practical suggestions for short video platform operators and users, are also discussed. [ABSTRACT FROM AUTHOR]

Introduction: Drawing on the cognition-affect-conation (C-A-C) framework, this study investigates how perceived information and social and system feature overload induce depression and anxiety, which leads to affect discontinuous intentions of the social media users. Methods: The data collected from 570 social networking site users in China are analyzed through structural equation modeling (SEM). Results and Discussion: The findings show that perceived information overload, perceived social overload, and perceived system feature overload directly affect depression and anxiety among social networking site users, which directly leads to discontinuous intentions. This study fulfills the identified need for an in-depth investigation of discontinuous behavior in social networking sites. The findings provide social networking site providers with guidelines on how to actively manage social networking site user’s behavior to reduce the effects of negative emotions on social networking sites. [ABSTRACT FROM AUTHOR]

Crowdsourcing recommendation is necessary to surmount information overload and assist workers to identify tasks of interest efficiently. However, existing studies mainly concentrate on investigating workers' qualifications or requirements, neglecting their fuzzy expectations and psychological behavior. Besides, workers can only passively accept the results and do not have any right to change them even if they are not satisfactory. As workers will pay different attention to task aspects, we regard the crowdsourcing recommendation as a multi-criteria decision-making (MCDM) problem. In this paper, we propose an MCDM-based method for automated and interactive crowdsourcing task recommendations while comprehensively considering workers' fuzzy expectations and psychological behavior. Given a large volume of available tasks on a crowdsourcing platform, the requirement of massive human efforts in traditional MCDM is not applicable in such situation. Therefore, we formulate a set of quantitative task evaluation criteria for automated task assessments based on the attributes that have the most impact on workers' participation behavior. Further, to capture workers' fuzziness in expectations, an intuitionistic fuzzy 2-tuple linguistic (IF2L) term is introduced, which are further leveraged as reference points to evaluate their "gains" and "losses" based on the prospect theory. Finally, the D-S evidence theory is adopted to gather workers' uncertain prospect values. A case of ZBJ.COM, a popular crowdsourcing platform in China, shows that the proposed method is efficient and effective in recommending suitable and personalized tasks to workers. [ABSTRACT FROM AUTHOR]

This study aimed to examine the relationship between information overload and individual state anxiety in the period of regular epidemic prevention and control and mediating effect of risk perception and positive coping styles. Further, we explored the moderating role of resilience. 847 Chinese participated in and completed measures of information overload, risk perception, positive coping styles, state anxiety, and resilience. The results of the analysis showed that information overload significantly predicted the level of individual state anxiety (β = 0.27, p < 0.001). Risk perception partially mediate the relationship between information overload and state anxiety (B = 0.08, 95%CI = [0.05, 0.11]) and positive coping styles also partially mediate the relationship between information overload and state anxiety(B = -0.14, 95%CI = [-0.18, -0.10]). In addition, resilience moderated the mediating effects of risk perception (β = -0.07, p < 0.05) and positive coping styles (β = -0.19, p < 0.001). Resilience also moderated the effect of information overload on state anxiety (β = -0.13, p < 0.001). These results offer positive significance for understanding the internal mechanism of the influence of information overload on individual state anxiety in the epidemic environment and shed light on how to reduce people's state anxiety during an epidemic. [ABSTRACT FROM AUTHOR]

In recent years, the number of live streaming platforms and the number of viewers have exploded. For example, in China, there are already more than 100 live streaming platforms as well as more than 300 million consumers. In live commerce, streamers use 'information overload' to affect purchase decisions, by making it difficult for consumers to think systematically; however, the mechanism of impact in this way has not been confirmed. In order to clarify how information overload affects users' purchasing decisions in live commerce, this study introduces information overload from the perspective of "Heuristic-systematic model" to develop a research model. And 400 respondents were randomly recruited through various SNS platforms in Guangdong Province, China from July 1 to July 20, 2022 using a random survey method, and finally 297 valid sample data were obtained. To verify the validity of the model and to illustrate the impact of information overload marketing on consumer purchase decisions in live commerce this study conducted an empirical analysis using Smart PLS 3.0. The findings show that perceived product quality and fit, and streamer influence and expertise, positively affect consumers' purchase intentions. The information overload strategy can significantly reduce consumers' perceptions of merchandise fit and enhance their perceptions of streamer influence and expertise. The results of this study provide a theoretical basis for marketing strategies in live commerce, and enrich literature in the field of marketing. [ABSTRACT FROM AUTHOR]

Since the COVID‐19 pandemic outbreak, long‐term overlooked motives concerning a sense of safety have become a primary concern. People's sense of safety largely depends on the information they receive. Indeed, a tsunami of information about the virus has been disseminated by all forms of media to people's electronic devices, thus permeating their lives. This study proposed that the over‐abundance of information, known as information overload, could endanger individuals' sense of safety by increasing their rumination about COVID‐19. However, it could also enhance their sense of safety by increasing their positive attitudes toward COVID‐19 precautions. Furthermore, we proposed that individuals' hypervigilance could strengthen the relationship between information overload and rumination about COVID‐19 and attitudes toward COVID‐19 precautions. We tested these hypotheses using a cross‐sectional survey study (N = 403) in February 2021 and a diary study (N = 98) in July 2021 in China. The results of both studies support the dual mediating paths of the relationship between information overload and sense of safety. We also found that hypervigilance moderated the relationship between information overload and rumination about COVID‐19. Overall, our study offers insights into how social media may influence people's sense of safety and how individual differences in hypervigilance play a role in the process. [ABSTRACT FROM AUTHOR]

COVID-19 prevention messages are a crucial component of disease mitigation strategies and the primary driver of health decision-making during the global pandemic. However, the constant and repetitive nature of COVID-19 messaging may cause unintended consequences. Among the commonly observed phenomena are information overload and message fatigue, which might be experienced differently depending on cultural background. Using measurement invariance testing, this study compared how individuals from two countries—USA (n = 493) and China (n = 571)—experienced information overload and message fatigue toward COVID-19 prevention messages. Findings revealed that people in China showed significantly lower level of information overload and message fatigue than those in the USA. This study explores the extent of the unintended persuasive effects that people have experienced during the COVID-19 pandemic in different societies, a comparison which has never been studied before, even outside of the context of COVID-19. The study also provides much-needed practical insights to develop public health initiatives that improve COVID-19 prevention communication, which can further reduce these unintended effects in both countries, and has implications for other countries as well. [ABSTRACT FROM AUTHOR]

China is currently under tremendous pressures to improve energy efficiency and reduce emissions. As an energy‐saving transportation innovation, electric vehicles (EVs) can alleviate this dilemma. This study adopts the Stimuli‐Organism‐Response (SOR) framework to explore the effect of information overload on consumers' psychological state and subsequent adoption intentions of EVs. Based on the 367 valid samples from Auto 4S shops in EV pilot cities in Mainland China, this study reveals that information overload negatively impacts perceived value and perceived effectiveness but positively impacts perceived risk. Furthermore, information quality offsets the negative impact of information overload on perceived value and enhances the positive impact of information overload on perceived risk. Interestingly, information quality not significantly affect the relationship between information overload and perceived effectiveness. In addition, perceived value and perceived effectiveness are positively related to purchase intentions, while perceived risk is negatively correlated with consumers' purchase intentions. On the basis of these findings, we discuss the policy implications of EVs and provide suggestions for future development. [ABSTRACT FROM AUTHOR]

The post-pandemic COVID-19 has been influential in accelerating the digital transformation of enterprises and business process virtualization. However, in a virtual working environment with no physical interaction, the psychological requirements of the communication between teleworkers and the negative impact of information systems are hindering the business process virtualization. Studying the relationship between the interaction between organizational members and job performance is an important part of organizational psychology. For an enterprise to maintain high-efficiency output, it is necessary to study psychological factors related to business process virtualization. This paper verified the factors hindering business process virtualization based on process virtualization theory (PVT). The research was implemented on a sample of 343 teleworkers in China enterprises. The structure of the model of this study includes two aspects that hinder the business process virtualization: the psychological requirements of teleworkers (Sensory requirements, Synchronism requirements, and Relationship requirements) and the negative effects of information systems (Information overload and Communication overload). The results show that teleworkers' sensory requirements, synchronism requirements, and communication overload negatively impact business process virtualization. However, unlike the results in the existing literature, the relationship requirements and information overload do not affect the business process virtualization. The results will help business managers, teleworkers, and information system developers develop strategies to address the negative factors hindering business process virtualization. In the so-called new "normal era," our research will help companies to create a successful virtual work environment. [ABSTRACT FROM AUTHOR]

The current study investigated the effects of Chinese young adult users' perceived information overload (i.e., the daily perception of exposure to excessive information) on their intention to stop using short-form video applications. Specifically, this study accomplished this by measuring the direct and indirect effects of social media fatigue, maladaptive coping, and life dissatisfaction in relation to users' intention to discontinue their use of short-form video applications. The data were collected using a web-based survey and validated questionnaire, with a sample of 340 young adult (18–26 years old) respondents. The results indicated that perceived information overload had a direct effect on the intention to discontinue the use of short-form video applications. Moreover, short-form video fatigue, maladaptive coping, and life dissatisfaction all played mediating roles in the relationship between perceived information overload and the intention to discontinue the use of short-form video applications among young adults in China. [ABSTRACT FROM AUTHOR]

Pervasive social networking sites (SNSs) access has forced people to pay continuous attention to the overwhelming volume of information which ultimately increases their usage. The extensive use of SNSs has contributed to the overuse of technology and that can lead to overload which may produce negative behavioural consequences. This study used cognitive load theory as foundation of the model to examine the effect of overloads and discontinuous intentions incorporating SNS addiction, social media self-efficacy and SNS fatigue. To test the proposed model and hypothesis, a total of 371 Chinese university students participated in the study. Findings reveal that information and communication overload exert a direct impact on SNS addiction, and the relationship between SNS addiction and discontinuous intentions amongst users is negatively significant. The moderated mediation analysis result indicates that social media self-efficacy moderates the mediating effect of SNS addiction between overloads (information and communication) and discontinuous intentions. Moreover, the relationship between SNS addiction and discontinuous intentions is partially mediated by SNS fatigue. Implications emphasise that SNS providers should effectively prevent the negative behavioural response of SNS users by providing training on the effective use of SNSs. [ABSTRACT FROM AUTHOR]

The market size of live streaming on the Internet, in which the streamer earns profit by prompting users to give virtual gifts through emotional labor, is getting bigger and bigger. However, most users will only buy cheap virtual gifts in live streaming, therefore exploring how to promote users to buy expensive virtual gifts is a valuable topic in live commerce research. Based on social presence theory and information overload theory, this study used the PLSSEM method to investigate the factors influencing live streaming users to shift from buying cheap virtual gifts to buying expensive virtual gifts, and analyzed the moderating role of information overload in these relationships. The results show that immediate interaction anxiety, verbal intimacy, and virtual physical intimacy positively influence users’ shift to purchasing expensive virtual gifts, and that perceived network size and perceived financial risk are negative factors in users’ shift to purchasing expensive virtual gifts. Information overload has a moderating role in the relationship between immediate interaction anxiety and switch intention, and it also plays a moderating role in the relationship between perceived network size and perceived financial risk on users’ switch intention. [ABSTRACT FROM AUTHOR]

Since the COVID-19 pandemic, the tourism economy has been seriously affected. China has implemented a direct traveling management mechanism and recovered from the pandemic faster than the rest of the world. However, the COVID-19 situation is complicated and uncontrollable because of the available unclear information including difficult medical terminologies. This study attempts to find the determinants of the travel intention of China's tourists in the post-COVID-19 epidemic. Along with information overload and perception risk, an expanded research model of the Theory of Planned Behavior (TPB) was employed to propose the theoretical framework of this study. A survey was conducted among 518 tourists who spend their holiday in Hainan, which is a popular tourist destination in China. The empirical results show that information overload positively and significantly impacted perceived risk. Furthermore, perceived risk negatively affects the intention to travel. Perceived risk also negatively affected the attitude toward traveling. However, response self-efficacy did not have a significant effect on the intention to travel. Finally, based on the analysis results, this study proposes relevant research contributions and practical recommendations with management implications for the travel industries. [ABSTRACT FROM AUTHOR]

Cyberchondria describes excessive health information seeking on the Internet is associated with escalating concerns and anxiety. Drawing upon the stimulus–organism–response model, this study proposes a moderated mediation model to explore how people develop cyberchondria when they search for COVID-19 vaccine-related information on the Internet. To test the proposed model, an online survey was conducted in China. Results showed that there was a direct and positive relationship between exposure to online vaccine information and cyberchondria. This relationship was also partially mediated by perceived information overload. Moreover, e-health literacy negatively moderated the indirect relationship between exposure to online vaccine information and cyberchondria through perceived information overload. The results from this study can advance our knowledge on the development of cyberchondria during public health crises, and inform health professionals and social media operators on developing evidence-based interventions to manage this issue. [ABSTRACT FROM AUTHOR]

Smartphone ownership is growing rapidly in China. Using a national sample of smartphone users, this study examined how different uses of the smartphone were related to emotional and psychological well-being, while examining the mediating role of perceived information overload. Results showed that social use, informational use, and entertainment use of the smartphone were positively associated with various indicators of well-being, while social use of the smartphone was also related to perceived information overload. Moreover, perceived information overload mediated the relationship between social use and psychological well-being. The findings point to the important role of perceived information overload in attenuating the potential positive effects of social uses of the smartphone on well-being. [ABSTRACT FROM AUTHOR]

Features and relevant services of online social media have been attracting users during the COVID-19 pandemic. Previous studies have shown that college students tend to use social media more frequently than other groups. However, in being affected by social media overload, the social media use behaviors of many college students have been out of their control in terms of their capabilities or cognition. Based on the stressor-strain-outcome (SSO) model and the theory of compensatory internet use (TCIU), we developed a research model to study the causes of social media overload and its impact on college students' academic performance during the COVID-19 pandemic. A total of 441 valid responses from college students through questionnaires in China are collected via purposive sampling and used in the data analysis. This study conducts PLS-SEM to analyze collected data, finding that boredom proneness is associated with overload (stress), which has a bearing on social media overload (strain) and the reduction in final performance (outcome). Through illustrating the psychological and behavioral conditions that hinder the academic performance of students, this study provides deeper insights into students' uncontrollable use of social media. Moreover, with respect to the identified antecedents, this study aims to find solutions to mitigate the impact of social media overload resulting from boredom proneness on the academic performance of college students. [ABSTRACT FROM AUTHOR]

Based on the development trend of SNSs (social networking sites) and individuals' specific experiences on SNSs, the current study aimed to investigate the association between information overload and the intention to reduce SNS usage, as well as the mediating roles of negative social comparison and SNS fatigue in this relationship. A sample of 986 undergraduate students who had an active WeChat Moments (the most popular SNS in China) account was recruited to participate in this research. The results indicated the followings: (1) There was a significantly positive association between each two variables among information overload, negative social comparison, SNS fatigue and the intention to reduce SNS usage. (2) After controlling for gender and age, information overload was positively associated with the intention to reduce SNS usage through the mediating roles of negative social comparison and SNS fatigue, and this association contained three mediating paths – the independent mediation effects of negative social comparison and SNS fatigue and the sequential mediation effect of negative social comparison and SNS fatigue. These results not only expand relevant research but also provide practical implications for the reasonable use and sustainable development of SNS. [ABSTRACT FROM AUTHOR]

With the rapid development of China's economy, people are eager for an effective way to relieve work pressure and strengthen their health at the same time. Outdoor sport is one of the best choices for people. However, the amount of recommended data on the network is very large. As a result, when people understand outdoor sports through the network, they cannot effectively obtain the information they want. This is the problem of "information overload," and personalized recommendation system can effectively alleviate this problem. In order to effectively recommend outdoor sports to users, a useful attempt was made in the personalized recommendation system for outdoor sports in this paper. The specific work of this paper is as follows: firstly, the current situation of outdoor sports in China was summarized, and the related technologies of the recommendation system were studied, including user modeling technology, recommendation target modeling technology, and recommendation algorithm. In order to obtain better recommendation effect, this paper proposes to mix user-based collaborative filtering recommendation algorithm, project-based collaborative filtering recommendation algorithm, and content-based recommendation algorithm. The hybrid algorithm adopts the way of feature expansion and weighted combination. Firstly, the hybrid model (model 1) of user-based collaborative filtering recommendation and content-based recommendation is obtained. Secondly, the hybrid model (model 2) based on project collaborative filtering recommendation and content-based recommendation was obtained. Finally, model 1 and model 2 were combined together to get a hybrid model with better final recommendation effect. For the common cold start problem in the recommendation system, the system adopts content-based recommendation algorithm to solve it. [ABSTRACT FROM AUTHOR]

A research model is proposed based on the telepresence theory to determine the long-term mechanism for generating consumer purchasing intention and explore potential information haze caused by information overload. A total of 406 usable samples were collected from the consumers of several cross-border e-commerce (CBEC) platforms in China. The results showed that telepresence has a positive effect on benevolence trust, integrity trust, and ability trust. As expected, benevolence trust and ability trust were found to exhibit significant mediation effects, while integrity trust did not have a significant mediation role. The moderated mediation mechanism shows that product information (description, display, and content) restrain mediation paths. The findings provide new perspectives on the information haze caused by information overload. The results suggest that promoting an ability-oriented (ability trust) business philosophy and instilling good corporate character (benevolence trust) are vital in achieving sustainable development in CBEC platforms. Eliminating information haze could also help strengthen the activation effect of telepresence and promote the guiding role of customer trust on purchasing intention. This study's theoretical and management contributions extend our knowledge of optimizing management strategies for CBEC platforms. [ABSTRACT FROM AUTHOR]

Individuals' unverified information sharing on social media, namely, sharing information without verification, is a major cause of the widespread misinformation amid the COVID-19 pandemic. The association between perceived information overload and unverified information sharing has been well documented in the cognitive overload approach. However, little is known about the underlying mechanism of this process. This study aims to explore the mediating role of anxiety and the moderating role of perceived herd between perceived information overload and unverified information sharing on WeChat. Anxiety demonstrates people's emotional response to the pandemic, whereas perceived herd describes a willingness to share certain information if it has been shared by many. The results of an online survey in China (N = 525) showed that perceived information overload was positively associated with unverified information sharing. In addition, this relationship was partially mediated by anxiety. Moreover, perceived herd positively moderated the link between anxiety and unverified information sharing, such that the indirect effect of perceived information overload on unverified information sharing via anxiety was significant in conditions where the level of perceived herd was high, whereas the indirect effect was not significant in conditions where the level of perceived herd was low. The moderated mediation model extends the cognitive overload approach and indicates that unverified information sharing is not only an individual strategy to cope with information overload but also a herding behavior to manage anxiety. Practical implications for curbing people's tendencies toward unverified information sharing on social media are discussed. [ABSTRACT FROM AUTHOR]

Switching behaviour among social media users is increasing nowadays. It is necessary and urgent to investigate the mechanism of intention to switch in order to help social media prevent user loss. This study tries to explore that under what condition the information overload, social overload are linked to social fatigue and intention to switch. The results show that social fatigue could play a role in mediating the relationships between both information overload and social overload in motivating an individual's intention to switch. Moreover, information relevance could moderate the relationship between information overload and social fatigue, as well as social overload and social fatigue positively. The results of this study provide vital important reference for the operation of social media platforms. [ABSTRACT FROM AUTHOR]

Based on a national survey of 1111 Chinese citizens, this study analyzes how exposure to fake news and perceptions of information overload are associated with the third-person effect. The findings indicate that fake news exposure correlates with perceived information overload and third-person perceptions of fake news. Respondents with higher levels of perceived information overload also report stronger third-person perceptions. In addition, Chinese respondents who believe that fake news affects others more than themselves are less likely to support stricter controls of fake news. [ABSTRACT FROM AUTHOR]

Based on interviews with 25 investigative journalists in Beijing, China, this study suggests digital journalists may be increasingly challenged by a sense of "information overload" as they navigate social media and online environments crowded with dis- and mis-information, fake profiles and sources, and massive amounts of opinion journalism that is presented as professional journalism. This overload has reinforced Chinese investigative journalists' dedication to a conventional form of verification: meeting face-to-face with sources. This study contributes to scholarship on Chinese journalism by expanding knowledge about investigative journalists in the country and by complicating understandings of how journalists there work in an age of social media, disinformation, and increased interests in verification. [ABSTRACT FROM AUTHOR]

The proliferation of information technologies has changed how Internet users around the world seek information. While information and communication technologies have transformed the structure of the Chinese economy, they have also brought challenges to the informational realms of everyday lives. However, there is a lack of empirical research exploring if users have encountered barriers in seeking online information for daily tasks. This mixed-methods study focuses on the disruptive influence of digital technologies on everyday information seeking practices, namely, the paradoxical co-existence of information overload and the lack of information sources. Results suggest that Chinese Internet users face a dilemma of receiving redundant online information and yet still experience a lack of high-quality information sources online. Findings from this research provide new perspectives of understanding the role of digital technologies in everyday life and also extend the dimensions of digital divides from internet access to disparities in information practices and experiences. [ABSTRACT FROM AUTHOR]

Purpose: The reviews submitted by users are the foundation of user-generated content (UGC) platforms. However, the rapid growth of users brings the problems of information overload and spotty content, which makes it necessary for UGC platforms to screen out reviews that are really helpful to users. The authors put forward in this paper the factors influencing review helpfulness voting from the perspective of review characteristics and reviewer characteristics. Design/methodology/approach: This study uses 8,953 reviews from 20 movies listed on Douban.com with variables focusing on review characteristics and reviewer characteristics that affect review helpfulness. To verify the six hypotheses proposed in the study, Stata 14 was used to perform tobit regression. Findings: Findings show that review helpfulness is significantly influenced by the length, valence, timeliness and deviation rating of the reviews. The results also underlie that a review submitted by a reviewer who has more followers and experience is more affected by review characteristics. Originality/value: Previous literature has discussed the factors that affect the helpfulness of reviews; however, the authors have established a new model that explores more comprehensive review characteristics and the moderating effect reviewer characteristics have on helpfulness. In this empirical research, the authors selected a UGC community in China as the research object. The UGC community may encourage users to write more helpful reviews by highlighting the characteristics of users. Users in return can use this to establish his/her image in the community. Future research can explore more variables related to users. Peer review: The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-05-2020-0186. [ABSTRACT FROM AUTHOR]

Purpose: Grounded on the cognition–affect–conation (C–A–C) framework, this study aims to explore how perceived information overload affects the information avoidance intention of social media users through fatigue, frustration and dissatisfaction. Design/methodology/approach/methodology/approach: A quantitative research design is adopted. The data collected from 254 respondents in China are analyzed via structural equation modeling (SEM). Findings: Perceived information overload directly affects fatigue, frustration and dissatisfaction among social media users, thereby affecting their information avoidance intention. In addition, frustration significantly affects social media fatigue and dissatisfaction. Consequently, social media fatigue influences dissatisfaction among users. Originality/value: The literature review indicates that social media overload and fatigue yield negative behavioral outcomes, including discontinuance. However, rather than completely abstaining or escaping, social media users adopt moderate strategies, including information avoidance, to cope with overload and fatigue owing to their high dependence on social media. Unfortunately, merely few studies are available on the information avoidance behavior of social media users. Focusing on this line of research, the current study develops a model to investigate the antecedents of information avoidance in social media. [ABSTRACT FROM AUTHOR]

Online to Offline (O2O) take-away has the great potentialT for development in China, but with a large number of merchants taking part in O2O take-away APP, resulting in the problem of information overload. And the recommended system can effectively relieve the information overload of APP. In this paper, the O2O take-away restaurant recommendation system is studied in detail. By analyzing the current situation of the O2O takeaway restaurant recommendation system, we put forward a recommendation algorithm based on rank-centroid/analytic hierarchy process. Through transforming the recent booking preferences of user into the take-away service standard weight, we establish the model, combined with the case of ele.me APP, compute actual scores of the restaurants by the comprehensive score, and choose the high score of the restaurants to recommend. Compared with the mainstream collaborative filtering recommendation method, the proposed method is simple and computationally smaller. [ABSTRACT FROM AUTHOR]

Employing a 2 (accepting crisis accountability vs denying crisis accountability) x 2 (high vs low information substantiality) x 2 (high vs low participation) online experiment (N = 293), this study examines how different transparency strategies influence public anger and trust in a Chinese police crisis context, offering insights on government social media crisis communication. In general, transparency is crucial for Chinese local governments, especially police agencies, in managing crises on social media. Reporting organizational crisis accountability, delivering sufficient and evidence-based messages, and enabling public discussion on social media are three transparency strategies that can help minimize public anger and rebuild public trust. Results suggest the positive effects of delivering messages in crisis situations by using transparency. Furthermore, the study points out that police organizations in China should consider the possibility of information overload and unexpectedly low overall expectations for government transparency among Chinese publics. • This 2x2x2 experimental research examines how three transparency strategies influence publics' anger and trust in China. • Each strategy used in crisis response can effectively rebuild public trust through reducing anger, but their interaction effect is limited. • Anger was identified as a key mechanism through which public trust is constructed in government crisis management. [ABSTRACT FROM AUTHOR]

With the development and popularization of communication technology, massive amounts of information have brought great challenges to how people receive and process information. In this environment, people have begun to exhibit typical negative behaviors, such as forgetting to process the information, delaying replies, and reading without replying. Negative use behavior refers to the non-active and non-interactive behavior taken by users in an attempt to resist using information systems. To explore users' negative use behavior of instant messaging software, this study extracts characteristics of the negative use behavior through semi-structured interviews, constructs a conceptual model based on stimulus-organism-response (SOR) theory, and uses a structural equation model (SEM) to verify the proposed hypotheses. The results reveal that information overload, task load, and time pressure have a positive effect on individual information anxiety and psychological resistance. Information anxiety and psychological resistance have a positive effect on individual passive attention and delayed reply. We also found that perceived utility negatively mediates the relationship between individual perceptions and delayed reply. This study collects data from China with a cross-sectional design. Future research should include other countries, different online platforms and longitudinal methods to examine negative use behavior. The research conclusions present suggestions for operators to optimize software functions and users to improve multiple information literacy. • Information overload of instant messaging software affects users' information anxiety. • Task load and time pressure make users resistant to instant messaging software. • Users delay replying to messages when they feel information anxiety. • Users are less likely to delay replying to perceived useful information. [ABSTRACT FROM AUTHOR]

Objectives: The increase in the intensity of social media use during the COVID-19 lockdown has affected mental health. Therefore, it is of practical implications to explore the association between social media overload and anxiety and the underlying mechanisms. Methods: Using data from 644 university students during the COVID-19 blockade in Shanghai from March to April 2022, the chain mediation model of information strain and risk perception of omicron between social media overload and anxiety was then tested using the macro PROCESS4.0 tool. Results: The findings showed that social media overload (including information overload and social overload) was positively associated with anxiety. This relationship was mediated by information strain and risk perception of Omicron. A chain mediating role of information strain and risk perception of Omicron has also been proved in this study. Conclusion: Social media overload has a positive effect on anxiety by increasing information strain and risk perception of Omicron. This study provides some implications for future interventions on how to use social media properly for mental health during the pandemic and health management of urban governance., Competing Interests: The authors declare that they do not have any conflicts of interest., (Copyright © 2023 Wang, Xu and Xie.)

An increasing number of companies use social media such as micro blogs to promote celebrities in Internet communities. Companies may run their official micro blogs differently, which in turn leads to different public engagements on micro blogging sites. This study takes a perspective on the adoption behaviours of micro blogs in enterprises by looking at the relationship between media frame and audience frame based on the China Fortune 500 firms in 2014. The results show that the updates, active days and followings are associated with public engagement with the corporate official micro blogs. In particular, we found information overload from information updates. The marginal utility of the public engagement decreases as number of updates increases. The results also show that the daily variance of updates has a significant influence on the audience frame. [ABSTRACT FROM AUTHOR]

Background: A worrying phenomenon has emerged in recent years: a growing number of people have stopped seeking coronavirus disease 2019 (COVID-19) information and have started deliberately avoiding it. Even though the virulence of COVID-19 has now weakened, the proportion of severe illnesses and deaths in elderly people is still much higher than in other age groups. However, no study has focused on this topic. This is the first study to explore the level of COVID-19 information avoidance among elderly people, and to identify the barriers and potential factors associated therewith. Methods: Convenience sampling was used to recruit 907 elderly people in Wuhan, China. Data collection measures included a sociodemographic questionnaire, health information avoidance scale, information overload scale, general self-efficacy scale, and health anxiety inventory. Results: A total of 72.3% of elderly participants reported COVID-19 information avoidance. Regarding COVID-19-related information reading habits, 44.5% of the elderly only read the title, 16.0% merely skimmed through the content, and 22.9% skipped all relevant information. The most common reasons for this result were information overload (67.5%), underestimation of the infection risk (58.1%), and uselessness of information (56.4%). The main factors associated with COVID-19 information avoidance were recorded as information overload, age, health anxiety, and children (p < 0.05). Conclusions: China should strengthen its health communication regarding COVID-19 in accordance with the characteristics of elderly people, adopt more attractive publicity methods on traditional media, improve censorship about health information, and pay more attention to the childless elderly and the elderly aged 80 and above.

The article provides information from various aspects of the field of international serials and electronic resource management. Abstracts for several research articles are included on topics such as scholarly electronic books (e-books) and open source data in academic publishing. Additionally, awards and grants presented by the American Library Association (ALA) in 2011 are highlighted along with notes on the reorganization of the United Kingdom Serials Group (UKSG). Brief information regarding the 2012 conference for the UKSG and a list of online resources related to serials librarians are also included.

With the progress of epidemic containment, the Chinese government has relaxed its regulatory policies on street vending, hoping to help people who have lost their livelihoods and to assist in the restoration of social and economic order. In response, Chinese people poured into the stall economy, especially individual peddlers, with great expectations for street vending. Street vending has become a hot topic on Chinese social network sites (SNSs). Based on the push-pull-mooring framework, SNS information overload theory was introduced and combined with the actual situations of street vending in China, and a structural equation model was established to study factors affecting individual Chinese peddlers' intention to engage in street vending and the effects of SNS information overload on these factors. Results revealed that perceived policy benefits, subjective norms, and switching cost perceptions of individual peddlers were positive factors affecting their intention to engage in street vending. SNS information overload positively affected individual peddlers' dissatisfaction with their original business model, anxieties over their livings, perception of policy benefits, and subjective norms but negatively affected individual peddlers' perception of switching costs. • The impact of information technology on society is demonstrated more clearly during the COVID-19 epidemic. • SNS information promotes Chinese individual peddlers' shift to street vending. • Analysis push, pull, mooring factors of individual peddlers shift to street vending. • Information overload influences the factors in the shift to street vending. [ABSTRACT FROM AUTHOR]

(1) Psychology must play an important role in the prevention and management of the COVID-19 pandemic. The aim of the present study was to examine associations between the perceptions of information overload and wellbeing in China during the initial phase of COVID-19. (2) Methods: The present research involved a cross-sectional online survey, which controlled for established predictors of wellbeing and the perception of general (not COVID-19-specific) information overload. The setting of the research was China, February 2020. A total of 1349 participants completed an online survey, and the results from 1240 members of the general public who stated that they were uninfected are reported here (55.6% female; 49.4% single; age distribution: 17–25 years: 26%; 26–30 years: 24.3%; 31–40 years: 23.9%; 41–50 years: 16.2%; 51 years+: 9.6%; the most frequent occupations were: 21.5% students; 19.5% teachers; 25.9% office workers; 10.8% managers, plus a few in a wide range of jobs). The outcomes were positive wellbeing (positive affect and life satisfaction) and negative wellbeing (stress, negative affect, anxiety and depression). (3) Results: Regressions were carried out, controlling for established predictors of wellbeing (psychological capital, general information overload, positive and negative coping). Spending time getting information about COVID-19 was associated with more positive wellbeing. In contrast, perceptions of COVID-19 information overload and feeling panic due to COVID-19 were associated with more negative wellbeing. (4) Conclusions: These results have implications for the communication of information about COVID-19 to the general public and form the basis for further research on the topic. [ABSTRACT FROM AUTHOR]

Introduction: Every outbreak of an epidemic or pandemic disease is accompanied by the tsunami of information, which is also known as the infodemic. Infodemic makes it hard for people to find trustworthy sources and reliable guidance when they need it, and causes social panic about health, widens the gaps between races and regions, and even brings the social chaos all over the world. While most researchers and related parties made efforts to control the inaccurate information spreading online during the COVID-19 pandemic, the infodemic influence caused by the overload of accurate information were almost or completely ignored, and this will hinder the control of infodemic in future public health crises. This study aims to explore the infodemic vs. pandemic influence on people's psychological anxiety across different media sources in the early stage of the COVID-19 outbreak in China. Methods: A cross-sectional study using online survey method was conducted by a data-collection service provider in April 2020. A total of 1,117 valid samples were finally collected from 5,203 randomly invited members via webpages and WeChat. The sample distribution covered the 30 provincial administrative divisions of mainland China. Results: Hierarchical regression analysis for the potential pandemic sources and infodemic sources of psychological anxiety showed that the infodemic factors of attention to the coronavirus information (β = 0.154, p < 0.001) and commercial media exposure (β = 0.147, p < 0.001) is positively related to the level of anxiety. Statistics indicated that influence of the infodemic factors is over and above that of the pandemic factors (Δ R 2 = 0.054, F < 0.001). Mediation analysis showed that information overload ( p = 0.155, Boot SE = 0.022, and 95% Boot CI [0.112, 0.198]) mediates the link between attention to coronavirus information and anxiety; both information overload ( B = 0.155, Boot SE = 0.022, and 95% Boot CI [0.112, 0.198]) mediates the link between attention to coronavirus information and anxiety; both information overload ( B This study suggested that the influence of infodemic with mixed accurate and inaccurate information on public anxiety does exist, which could possibly go beyond that of the pandemic. Information overload and vicarious traumatization explain how infodemic may be associated to public anxiety. Finally, commercial media could be a major source of infodemic in the Chinese media context. Implications for the related parties were discussed.Conclusion: This study suggested that the influence of infodemic with mixed accurate and inaccurate information on public anxiety does exist, which could possibly go beyond that of the pandemic. Information overload and vicarious traumatization explain how infodemic may be associated to public anxiety. Finally, commercial media could be a major source of infodemic in the Chinese media context. Implications for the related parties were discussed., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2021 Xu and Liu.)

• Three bad behaviors of Chinese pedestrians are summarized through abundant data. • The key technical demands of pedestrians for autonomous vehicles are analyzed. • Driverless technologies to protect pedestrians are carefully reviewed. • The adaptability of driverless technologies to Chinese pedestrians is analyzed. China is the world's largest automotive market and is ambitious for autonomous vehicles (AVs) development. As one of the key goals of AVs, pedestrian safety is an important issue in China. Despite the rapid development of driverless technologies in recent years, there is a lack of researches on the adaptability of AVs to pedestrians. To fill the gap, this study would discuss the adaptability of current driverless technologies to China urban pedestrians by reviewing the latest researches. The paper firstly analyzed typical Chinese pedestrian behaviors and summarized the safety demands of pedestrians for AVs through articles and open database data, which are worked as the evaluation criteria. Then, corresponding driverless technologies are carefully reviewed. Finally, the adaptability would be given combining the above analyses. Our review found that autonomous vehicles have trouble in the occluded pedestrian environment and Chinese pedestrians do not accept AVs well. And more explorations should be conducted on standard human-machine interaction, interaction information overload avoidance, occluded pedestrians detection and nation-based receptivity research. The conclusions are very useful for motor corporations and driverless car researchers to place more attention on the complexity of the Chinese pedestrian environment, for transportation experts to protect pedestrian safety in the context of AVs, and for governors to think about making new pedestrians policies to welcome the upcoming driverless cars. [ABSTRACT FROM AUTHOR]

The third day of the third US-China Smart Education Conference featured a discussion with 27 thinkers representing higher education, business and industry, vocational training, and policy making. Researchers from the fields of artificial intelligence, computer science, educational technology, neuro-science and the learning sciences from many countries actively participated and are collectively the co-authors of this report. After two short presentations on computational neuropsychology and the next generation of artificial intelligence by two of the participants (Thomas Parsons and Yang Yang respectively), the participants were divided into four groups led by Phillip Harris (AECT Director), Joseph South (ISTE Chief Learning Officer), Chee-Kit Looi (NIE Head of the Learning Sciences Lab), and Maiga Chang (School of Computing and Information Systems, Athabasca University). The groups were asked to consider the following four questions: (a) What are the 5 most promising technologies likely to transform education in the next 10 years? (b) How do/will advanced learning technologies impact the future of education? (c) What challenges do advanced learning technologies bring to education? (d) What are the new demands for education in the future of society? The groups could focus as they deemed appropriate, modifying adding questions or ignoring any question. This report is a synthesis of those discussions. [ABSTRACT FROM AUTHOR]