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This study examined the effects of SNS users' perceived information overload on SNS fatigue and mental health, highlighting the influence of users' attachment styles. Also, the mediating role of SNS fatigue in the association between perceived information overload and mental health was investigated. Using data from a national sample in South Korea (N = 635), the study found that those in the secure style (n = 216) and the dismissing style (n = 134) showed low levels of perceived information overload and SNS fatigue than those in the preoccupied style (n = 143) and the fearful style (n = 160). These results uncovered that the anxiety dimension of attachment styles was the differentiating factor for the variables in the study. Moreover, the study supported the mediating role of SNS fatigue in the three attachments styles except for the fearful style. Theoretical implications and contributions of the study were also discussed. [ABSTRACT FROM AUTHOR]

The article investigates how and when the two first movers in knowledge-based regulation – the OECD and the World Bank – developed policy brokerage as an instrument of global governance in the education sector. We also examine how their target clientele – national governments – responds to this instrument. Given the surplus of research evidence in today's digital economy, intergovernmental organisations have the challenge of standing out as trusted and credible knowledge brokers in a crowded space. The authors make the case for a comparative research programme – tentatively labeled 'Governance by Numbers 2.0' – that is informed by a multidisciplinary (history, political science, interdisciplinary policy studies) interpretive framework and that advances a transnational, relational method of inquiry which draws attention to the global/national nexus. [ABSTRACT FROM AUTHOR]

Numerous universities nationwide announced urgent implementation of closed campus management due to the epidemics of COVID-19 in Chinese universities since March 2022, and a large number of students were under quarantine. This study aims to explore how embodied experiences (i.e., centralized quarantine and self-quarantine) and mediated experiences (i.e., exposure to media sources, pandemic information overload, and online help seeking) influence the acquisition of learned helplessness during the campus epidemics among the Chinese university students, besides, how do these two types of experiences interact with each other to elicit learned helplessness is another interested research question. The data was collected nationwide via an online survey platform from March 22nd to April 16 2022 immediately after the outbreak of campus epidemics. A total of 1267 valid student samples were retained. Hierarchical regression analysis showed that embodied experience of centralized quarantine is positively related to learned helplessness. Mediated experience of information access from friends on social media and government official media as well as online help seeking are negatively related to learned helplessness. Information access from overseas media and pandemic information overload are positively related to learned helplessness. Besides, the interaction between self-quarantine and pandemic information overload is positively related to learned helplessness. Theoretical contributions and intervention strategies aimed at enhancing authoritative communication and managing information overload during public health crisis were discussed. [ABSTRACT FROM AUTHOR]

Based on the stress coping theory, the present paper aims to investigate the influence of users' networking ability and profile control ability in mitigating the negativity of social media overload. This paper argues that in the social media context, instead of discontinuance, users tend to develop comprehensive strategies and practices to manage their social media usage. Via an exploratory factor analysis (EFA) study, five practices were identified, including continuous usage, reduced usage, setting adjustment, support seeking, and information avoidance. The results show that social media overload leads to both the perception of emotional exhaustion and disturbance handling while networking and profile control ability make users focus on disturbance handling. Besides, networking ability is found to weaken the relationship between social media overload and emotional exhaustion while profile control ability exaggerates that relationship. Finally, emotional exhaustion and disturbance handling both predict users' different social media management practices. [ABSTRACT FROM AUTHOR]

China has a longstanding tradition of alcohol consumption, yet excessive drinking poses significant health risks, particularly for individuals with cardiovascular conditions such as hypertension. While existing literature indicates that both health information scanning and seeking behaviors can impact health beliefs and actions, their effects on alcohol prevention remain understudied. Utilizing data from a national survey in China, this study investigates the influence of health information scanning and seeking on alcohol risk knowledge and the frequency of excessive drinking among hypertensive drinkers. Results demonstrate that both health information scanning (b = -.018, p < .05) and seeking (b = -.030, p < .001) are negatively associated with excessive alcohol consumption indirectly through heightened awareness of alcohol as a risk factor for cancer. However, health information scanning is positively linked to excessive drinking directly (b = .203, p < .01). Additionally, cancer information overload positively moderates the relationship between awareness of alcohol as a cancer risk factor and excessive drinking (b = .148, p < .001). Hypertensive drinkers who experience lower levels of cancer information overload are more inclined to reduce excessive alcohol consumption. These findings underscore the different roles of health information scanning and seeking on alcohol control. It is important to implement interventions aimed at encouraging active information seeking and mitigating information overload. Educational programs should be promoted to help high-risk groups accurately understand the risk of excessive drinking. [ABSTRACT FROM AUTHOR]

The present study examined the predictive role of social media use on adults’ psychological distress through the mediating role of one of the digital stress factors, i.e. information overload. A sample of 295 participants aged 18–41 (M age = 21.15, SD = 3.67, 82% females) filled out self-reported questionnaires measuring social media integration, anxiety, depression, and stress symptoms, as well as cyber-based and place-based information overload. Results suggested significant associations between social media integration and emotional connection, cyber-based information overload, and psychological distress symptoms. Cyber-based information overload was positively associated with place-based information overload and psychological distress symptoms. SEM analyses suggested a partial positive and statistically significant mediation between social integration and emotional connection and psychological distress by information overload: high scores on social integration and emotional connection were marginally positively associated with high scores on information overload and with high scores on psychological distress as direct effects. However, on the second mediation path, high scores on information overload were positively associated with high scores on psychological distress, but no significant total effect was observed. We discuss the present findings considering their implications for digital stress awareness and practical strategies for preventing information overload-related negative outcomes. [ABSTRACT FROM AUTHOR]

In an era of information overload, understanding individuals' news consumption and avoidance necessitates an examination of the specific contexts in which these practices occur. While research in journalism studies has mainly underscored consumption habits at the individual level, limited scholarly attention has been given to news avoidance within the structure of dyadic spousal relationships. This study shifts the focus from individual choices to the couple as a unit of analysis, exploring how each partner's choice of media platform, content, and routines may be shaped by the context of being in a spousal relationship. Drawing on 82 interviews with Israelis, including 14 interviews with both partners of seven heterosexual couples, this study reveals three patterns of news avoidance within the context of a couple's relationship: avoiding shared news consumption, gender-based news avoidance practices, and a division of media-related responsibilities. This study contributes to a more nuanced understanding of the contextual factors shaping news avoidance by elucidating how media use and non-use unfold within social relationships. It also demonstrates how news avoidance can be perceived as a liberating choice, enabled by partners' negotiation of preferences, platforms, and routines. [ABSTRACT FROM AUTHOR]

AbstractWomen are increasingly turning to mHealth apps as primary sources for breastfeeding education and support. The rising prevalence of mHealth apps presents a unique opportunity to explore their impact on women’s breastfeeding experiences. Understanding user perspectives of these apps, especially focusing on their persuasive design aspects, can offer valuable insights for enhancing maternal and child health outcomes. These insights can optimize these technologies to align with user values and promote sustained healthy behaviors. This study aimed to undertake an empirical exploration of users’ experiences with the persuasive design features employed in the Milky Way mHealth app and align the findings with human values within the value-sensitive design (VSD) framework. Semi-structured interviews were conducted with a group of women who had used the Milky Way app. Interview data were analyzed using an inductive thematic approach. To provide insight into users’ values mediated by the app, a deductive analysis complemented by a data-driven inductive approach was performed. Data analysis was supported by NVivo data-management software. Findings from the study demonstrate that the persuasive design elements in the Milky Way app significantly influence users’ experiences. The analysis provided four primary themes: Informative, Easy to use, Credible, and Social connection. Overall, participants praised the app’s trustworthy educational content and support features as valuable resources for addressing breastfeeding challenges and obtaining reliable support. Participants expressed concerns about information overload and emphasized the importance of personalized support and evidence-based tailored recommendations. The results demonstrated that users’ values were expressed and embedded within the app. The analysis indicated an alignment between the app design features and the values and opinions of the users within the VSD framework. This study interprets women’s perspectives utilizing the Milky Way app and highlights the significance of its evidenced-based educational and support features. Further investigation into potential user values like privacy, remains crucial for a comprehensive user-centered app design. The empirical insights gained from this study contribute to future research, informing the development and design of ethically considerate persuasive mHealth apps to maintain their relevance in promoting positive user experiences and facilitating meaningful behavior change. [ABSTRACT FROM AUTHOR]

Although social commerce induces consumers' impulse purchase behavior, no work has been done to examine the impacts of different uses of social commerce on online impulse purchase and their influencing mechanisms. Grounded on the stimulus-organism-response theory, this study explored the relationships between cognitive use (CU), hedonic use (HU), and social use (SU) of social commerce (SC) and online impulse purchase (OIP) and technostress (TS), with mediating effect of social capital and information overload (IO). Non-probability purposive samples of 693 respondents were collected via a questionnaire survey in different provinces of China, and the data were scrutinized with Smart Partial Least Squares (SmartPLS). The results reveal that SU, CU, and HU positively affect social bridging (SBR), social bonding (SBO), and IO. Furthermore, SBR and SBO positively influence OIP, but SBO negatively influences TS. Moreover, IO positively influences TS but negatively influences OIP. Additionally, TS hurts OIP. This is the first study that incorporated different uses of social commerce (i.e., SU, CU, and HU) and investigated their positive and adverse effects on OIP. The study helps understand SC uses' influencing mechanisms on customers' OIP. The results show the positive role of social capital (i.e., SBR and SBO) in enhancing OIP. It also shows that improper and uncontrolled use of SC could lead to stress or switching behavior. The research also offers guidelines for managers to grow more constructive tactics for promoting consumers' impulse purchases. [ABSTRACT FROM AUTHOR]

AbstractIn today’s era of information overload, efficiently extracting valuable information from a large volume of textual data has become a crucial challenge in reading. This study aimed to explore the enhancement of Chinese readability in the digital domain through intelligent typesetting method. This study involved two experiments. The purpose of the first experiment was to achieve the machine learning-based assessment of the importance of individual words in Chinese articles and to automate typesetting based on the importance of words. For the second experiment, readability tests and eye-tracking reading tests were performed and the reading performance and reading attention between intelligent typesetting and general typesetting style was compared. This work proposed three Chinese typesetting methods that distinguished the importance of Chinese text information, based on font size and color. The results showed that first, when reading Chinese text, visual attention was more likely to be drawn to larger font sizes, darker brightness, or warmer-colored characters. Second, intelligent Chinese typography that distinguishes information importance through font size, color brightness, and color hue can enhance Chinese reading comprehension accuracy and subjective evaluation. It was concluded that using the TextRank model to distinguish importance of Chinese vocabulary and intelligent typesetting methods based on visual features of font could obviously improve text readability. Specifically, readability achieved through intelligent typesetting method distinguishing information importance through font color brightness surpasses that of general typesetting significantly. These intelligent typesetting methods can be widely applied in Chinese reading scenarios, such as web pages, e-books, information visualization, and other Chinese reading contexts. [ABSTRACT FROM AUTHOR]

AbstractDrawing on the stressor–strain–outcome (SSO) framework, this study examined how information-related stressors (perceived information overload, information quality deterioration, and information narrowing) and privacy-related stressor (perceived privacy risk) in using news platforms’ recommendation algorithms trigger users’ psychological reactance, which leads to their active coping, expressive coping, or avoidance coping with their stress in using such recommendation algorithms. Using a sample of 352 valid research responses, this study found that users’ psychological reactance is positively influenced by perceived information quality deterioration, followed by perceived information overload and perceived privacy risk. Meanwhile, perceived information narrowing has no significant impact on psychological reactance. In turn, psychological reactance exerts a stronger impact on expressive coping and avoidance coping responses than on active coping response. This study enriches the literature on the stress in algorithm usage at the individual level and provides practical insights for the providers of news platforms which have applied recommendation algorithms. [ABSTRACT FROM AUTHOR]

This study examines the impact of message length and audience's perceived information overload on the effectiveness of a fact-check in reducing belief in fake news within the COVID-19 vaccination context. Through an online experiment (N = 374) conducted in Singapore, we found an interaction effect between one's level of information overload and the type of fact-check that was being shown (short, medium, or long). The findings from this study help to extend the literature on the effectiveness of fact-checks in reducing general public's belief in fake news. [ABSTRACT FROM AUTHOR]

This study examines how intrinsic message characteristics (i.e. call to action, negative emotions, and informality) drive online information engagement (i.e. the numbers of likes and retweets). We also explore how the veracity of information (i.e. misinformation vs. accurate information) is intertwined with negative emotions in promoting online information engagement. Analyses of 472 tweets demonstrate that tweets with higher anger-laden words were more likely to be retweeted. By contrast, those with higher anxiety-laden words and more informal language were more likely to receive likes. Regarding the interaction between distinct emotions and the veracity of information, the results showed that anger-laden misinformation tended to be retweeted more and received more likes from users whereas anger-laden accurate information received fewer likes. Further, anxiety-laden accurate information received more likes. This study contributes to existing scholarship surrounding online information engagement by illustrating how intrinsic message features are differentially associated with liking and retweeting behaviours. Our findings also provide practical implications on how messages should be tailored to encourage engagement on social media and devise effective countermeasures to curb the potentially detrimental effects of anger when used for the purposes of misinformation. [ABSTRACT FROM AUTHOR]

Situation awareness (SA) is critical for decision making and performance in a wide variety of fields. It is quite challenging to achieve however, due to information overload, poorly integrated technologies, system complexity, workload, and automation. SA-oriented design (SAOD) was developed as a systematic methodology for addressing these challenges. The goal of the current paper is to review the contribution of SAOD and its usefulness for system design. SAOD is summarized and compared to other design approaches. An example of SAOD applied to command and control is provided. Results of SAOD applications are reviewed and directions for further development of SAOD are presented. [ABSTRACT FROM AUTHOR]

Introspection can be defined as taking time to think deeply both about yourself and the outside world. Through introspection, library managers can obtain a more objective knowledge of their skills and weaknesses to better judge what they can do well, where they can improve, and when they should seek outside expertise. Introspection also leads to improved decision making since the reflective manager examines evidence from all sides, looks for hidden agendas, discovers how the world really works, and thinks before acting. The chief negative is that introspection takes time. The successful introspective manager learns to discover the optimal amount of reflection based upon the complexity and importance of the decision and also understands when to seek closure. The current frenetic pace of life with information overload and never-ending tasks requires the successful manager to find quiet time for the reflection that will increase performance. [ABSTRACT FROM AUTHOR]

This study examines the relationship between information factors (trustworthiness and information overload) and health beliefs (perceived susceptibility to and perceived severity of COVID-19) on attitudes towards social distancing behaviour. A pre-test of 204 adults was conducted to develop four scale items of information overload and three scale items of perceived susceptibility, respectively, for a study of 299 adults in the United States via Prolific questionnaire. Results showed that perceived trustworthiness in the CDC positively affected, while perceived trustworthiness in the then President, Donald Trump, negatively affected, attitudes towards social distancing. Information overload had a negative effect. Health beliefs positively affect attitudes towards social distancing. These results support the predictions of both Cognitive Load Theory and Protection Motivation Theory, extending them to a new context. Practically, marketers must evaluate the trustworthiness and truthfulness of both the source and context of health-related messaging to influence consumer behaviours. [ABSTRACT FROM AUTHOR]

Contrasting with readings of his work that strive to shackle the author to the traditional French nineteenth-century literary canon, this article argues that Michel Houellebecq can be understood as a novelist of the Facebook generation. To put it another way, this article considers what happens when a novelist who began his literary career stressing the insufficiency of literature (in Extension du domaine de la lutte, 1994) keeps on writing. Not only does he persist, but he does so against the background of an ever-accelerating evolution in the technologies, channels and modes of reading towards a post-literate age. This article thus considers the cultural logics of the digital moment—including re/appropriation, information overload, online trolling and the curation of online identities—and how they illuminate the themes, texture and politics of Houellebecq's work. This argument is illustrated through examples drawn from Houellebecq's Sérotonine (2019) and also briefly considers how the HBO series Curb Your Enthusiasm might prove a helpful frame through which to view the work of the French novelist. Sérotonine, I argue, is far from the novelist's most accomplished novel, but demonstrates an acute sensitivity to the forms and structures of contemporary online experience. [ABSTRACT FROM AUTHOR]

This manuscript investigates whether shoppers differ in their perceptions of their likelihood of experiencing negative effects from exposure to too much information (i.e. information overload), and develops a means of identifying individual differences in this likelihood amongst shoppers. Prior work on information overload implies that some shoppers are more susceptible to feeling its effects than others. The objective of this manuscript is to develop and validate a scale measuring this individual difference, termed shoppers' susceptibility to information overload (SSIO). Shoppers' susceptibility to information overload has implications for consumers trying to lessen stress, retailers working to improve or maintain image, and brand marketers concerned with positioning. [ABSTRACT FROM AUTHOR]

Recently, the World Health Organization noted the increasing signs of pandemic fatigue around the world and repeatedly warned the public to continue to stay cautious. The current study explores whether social media use plays a role in the formation and development of pandemic fatigue. Drawing on a survey of 849 social media users in China, the findings indicated that different social media behaviors play different roles in affecting pandemic fatigue. Specifically, social interaction use is negatively associated with pandemic fatigue, mediated by more social support and reduced hopelessness. Active content use contributes to pandemic fatigue development, an association explained by information overload and desensitization. Notably, passive content use is found to trigger reactance but is negatively associated with pandemic fatigue, which is fully mediated by reduced information overload. This study seeks to understand how pandemic fatigue is associated with social media use and to explicate the underlying mechanism. The implications of the findings and directions for future research are discussed. [ABSTRACT FROM AUTHOR]

Effective risk communication is critical to gain public support when implementing population-level health interventions. Analysis of previous public health campaigns can provide guidance for future efforts. This case study examined a successful community water fluoridation campaign in Saskatoon, Canada, during 1953/54. The key strategies and messaging used by both sides of the debate were assessed using two publicly available historic data sources: documents in the city archives and newspaper coverage. The anti-fluoridation campaign approaches (e.g. misinformation, innuendo, half-truths and scare words, requesting a plebescite) were similar to those used elsewhere by this movement as described in the literature. Key features of the effective pro-fluoridation campaign included extensive community outreach, involvement of local experts, dissemination of supporting evidence while aggressively addressing misinformation, highlighting the support of relevant health organizations, and ensuring key messages received media coverage. This study illustrates how misinformation and public opposition has posed a challenge to public health efforts long before the advent of social media and highlights strategies, consistent with current risk communication principles, that have stood the test of time. [ABSTRACT FROM AUTHOR]

Focusing on the crossing scenarios of pedestrians and autonomous vehicles (AVs) at unsignalized road sections, this study proposes an evolutionary game model considering the related benefits of AVs, pedestrians and traffic managers, and it explores the impact of policy intervention. The game analysis results indicate that strategies of the three agents are closely associated with pedestrians' trust in driverless technology, human-vehicle communication and government regulation. In cases where regulation exists, increasing the AV supervision threat would facilitate the equilibrium to evolve toward pedestrians crossing and AVs yielding. In addition, we unexpectedly find that the introduction of crash probability information cannot boost the equilibrium outcomes in the expected direction, which may be related to information overload. Finally, this study verifies the validity of the model through numerical simulations and provides managerial implications with respect to driverless technology promotion, communication device design and regulatory policy formulation. [ABSTRACT FROM AUTHOR]

As information and communication technologies approach ubiquity, the need to examine their role in leisure contexts increases. Using data generated with Appalachian Trail (AT) long-distance hikers through semi-structured interviews, this research explored outdoor recreationist views on technology and information use. Participants' views on technology ranged from unquestioningly pro-technology to technology-resistant. Regarding information sources, hikers generally expressed satisfaction while some communicated instances of information overload. In some cases, participants evaluated uncertainty positively, indicating situations where it is "nice not to know" what lies ahead. These findings shed light on smartphones' role in leisure and underscore the need to evaluate uncertainty as a component of outdoor recreation. Information availability and the value of uncertainty may become increasingly important topics as leisure continues into the digital age. [ABSTRACT FROM AUTHOR]

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Information overload is a pervasive phenomenon in the information age and has a negative impact on personal psychological experiences and behavioural performance. The relationship between WeChat information overload and sleep quality was examined, as well as the mediating effects of social fatigue and irrational procrastination. A total of 1 899 Chinese college students (females = 45.8%; mean age = 20.26 years, SD = 1.70) were selected for study. They completed the Information Overload Scale, Social Fatigue Scale, Irrational Procrastination Scale, and Pittsburgh Sleep Quality Index. Path analysis results show a significantly positive correlation between information overload and sleep quality and the mediating role of irrational procrastination in this relationship. Social fatigue and irrational procrastination play a chain-mediating role in the link between information overload and sleep quality. This suggests that information overload has an impact on sleep quality through social fatigue and irrational procrastination. Student mental health counselling services should consider information overload and sleep deprivation indicators for support interventions. [ABSTRACT FROM AUTHOR]

As online shopping flourished, consumers in their shopping can refer to rich product descriptions and a large amount of review information. For the scenario of consumer online choice decision among candidate products characterized by limited attributes, we refer to it as an online multi-attribute decision-making problem. To address the challenge of online choice decision support for consumers, we propose a data-driven analytic hierarchy process (AHP). The data-driven AHP includes extracting attributes of candidate products, calculating attribute values, attribute-weight learning, interaction-based preference revision process, and product ranking. In particular, we develop an Exp-strategy for attribute-weight learning, which helps learn the attribute weights of consumers who provide reviews as a reference for an end consumer. This learning method can handle dynamic online reviews without the problem of information overload. In addition, we design the interaction-based preference revision process to help the end consumer identify his attribute weights and make a choice decision. [ABSTRACT FROM AUTHOR]

This article presents a study on sharing practices after incidents across organizations in the Norwegian construction industry as a means towards improvement of occupational safety. Interviews were performed with safety personnel from different actors, including clients, contractors and designers. The findings show that several arenas for sharing of safety-related information across actors exist; however, the sharing is limited, not structured, and occurs occasionally. Furthermore, the information is not widely shared across all actors in the industry for whom the information could be valuable, e.g., early phase actors. As a willingness to share and an excitement for new technology are present, the work goes on to propose how and where the industry can improve on information sharing after incidents to move towards inter-organizational learning. A roadmap for the Norwegian construction industry is suggested for collective information sharing with a focus on technological and digital solutions. [ABSTRACT FROM AUTHOR]

Intentional news avoidance describes an intermittent news use practice in which people deliberately turn away from the news. Previous findings point out that the level of intentional news avoidance has increased since the COVID-19 pandemic. Since this might be related to negative consequences both with regard to compliance with measures and for the economic situation of journalism, the current study empirically investigates the prevalence and predictors of intentional news avoidance during COVID-19. For this purpose, we analyze two waves (April 2020 n = 1459, May 2020 n = 1433) of the Austrian Corona Panel that include relevant measures for news avoidance and potential predictors. Our findings show that the vast majority of the participants at least sometimes avoid news about COVID-19 (75% in April and 80% in May). This behavior can be explained by a lack of trust in news about COVID-19 and negative emotional responses to news (e.g. information overload or emotional distress). In sum, the high prevalence of news avoidance can be considered a result of the general burden of the pandemic, but also dissatisfaction with the role of the media. [ABSTRACT FROM AUTHOR]

Augmented reality (AR) is a rapidly advancing technology that enhances users' perception of the real world by overlaying virtual elements. The geospatial community has been gradually focusing on AR because of its ability to create immersive spatial experiences and facilitate spatial learning. However, designing effective AR interfaces poses several challenges, including managing information overload, providing intuitive user interaction, and optimizing system performance. The management of the Level of Detail (LoD) is a crucial part of an AR-enhanced cartographic representations as it can greatly impact the quantity, accuracy, and usefulness of the information being conveyed and enhance the readability and usability of an application. In this paper, we present a systematic review of published research on the management of LoD for AR cartographic representations based on various dimensions that focus on the types of data that are visualized, the techniques used, and the user actions that trigger LoD change. A corpus of fifteen scientific papers involving different LoD management techniques within AR environments have been analyzed. The limited number of papers implies that this kind of applications is in its infancy. The review provides a synthesis of existing knowledge and identifies challenges for future research in this exciting and dynamic field. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic has brought on an unprecedented amount of information about the virus and vaccination, varying significantly across information channels. While extant research shows that excessive information leads to overload and less elaboration, few studies have examined factors associated with information overload and elaboration. Considering the trend that we likely receive information on the same topics from different communication channels daily, this study sought to understand how cross-channel differences in the information were associated with information overload and subsequent elaboration. The survey assessed 471 participants' consumption of COVID-19 information across different channels (interpersonal communication vs. social media), concern about information quality, information overload, information elaboration, health literacy, and demographic characteristics in February 2021. Our findings confirmed that greater information overload was negatively associated with more information elaboration. Using a moderated mediation model, we found that people who received more information from social media, compared to those who received equal amounts of information from both social media and interpersonal communications, reported more information overload and less elaboration. Additionally, we found that people who experienced greater information overload and held greater concern about information quality tended to elaborate more information. All analyses were controlled for health literacy. Theoretical and practical implications were discussed. [ABSTRACT FROM AUTHOR]

Brands leverage social networking sites (SNSs) to promote themselves to their customers. This study aims to understand the various parameters that make customers filter, process, and disseminate tourism and hospitality-related messages on these sites. We study various antecedents to passive and active engagement. Past studies have relied on secondary data to study SNSs engagement. We adopted an experimental approach to impose the real-time conditions of information overload and manipulate various post parameters to study customer engagement behaviour on SNSs. We conducted two factorial design experiments garnering over 6000 data points. Our results pointed towards a staggered information processing model, with the first step driven by peripheral route cues leading to attention, with the second step being active engagement. Our study has direct implications for marketing managers in the hospitality and tourism industry as it highlights the levers essential to succeed on SNSs. [ABSTRACT FROM AUTHOR]

Excessive use of personal social media has become prevalent in the work environment and has caused significant psychological and behavioural problems among employees. These problems call for in-depth study. In this paper, we develop a usage experience–stressor–strain model to examine the consequences of excessive social media usage behaviour of employees at work, revealing the effects of different excessive usage patterns (i.e. social, hedonic, and cognitive) on employees' psychological state (i.e. emotional exhaustion) and behavioural outcome (i.e. job performance) through dimensions of social media overload (i.e. information, communication, and social). We empirically test the research model with a survey of 422 employees who use social media at work. Our analysis presents that excessive social use at work is the major predictor of dimensions of overload. Furthermore, in contrast to the single effect of communication overload on emotional exhaustion and social overload on job performance, information overload has a significant impact on both emotional exhaustion and job performance of employees. This study advances our understanding of the complex relationships between excessive usage patterns, overload, emotional exhaustion, and job performance. [ABSTRACT FROM AUTHOR]

In the information age we live in, we are constantly threatened by being drowned in a huge flood of information. Information overload (IO) describes this state where information can no longer be adequately processed by an individual. However, the danger posed by IO to individuals as well as organizations can still not be assessed properly due to a missing integration of previous findings. In this quantitative meta-analysis, we analysed the data of 133.011 people within 117 studies, and overall, 330 effect sizes. We performed multi-level as well as robust variance estimation analyses and found, among other things, positive correlations between IO and information avoidance, stress states, burnout and fatigue, and negative correlations between IO and performance and satisfaction. Explorative subgroup analyses revealed different moderating effects based on different vocational settings. Overall, the results of this meta-analysis indicate a negative relationship between IO and peoples' behaviour and experience, which call for an evaluation of the exchange and handling of information. Across a wide range of studies and contexts, this meta-analysis reveals that IO may provoke the information fatigue syndrome that has been poorly considered to date, leading to severe consequences in both work and home contexts. [ABSTRACT FROM AUTHOR]

Recommender system is one of the most effective tools to solve the problem of information overload. As a popular method for recommendation system, regularized singular value decomposition (RSVD) has the advantage of prediction accuracy. However, with the growing of the size of rating matrix A, RSVD suffers from both 'out of memory' and high computational cost. To alleviate these disadvantages, we utilize CUR decomposition approach to reduce the memory consumption before RSVD is applied. Additionally, the rating matrix A often is sparse, so we propose a novel column sampling algorithm and sparseness measure to solve the data sparse problem. The main computation cost in the original RSVD is to compute M T N and M N T respectively. While replacing N by CUR or C in RSVD, we can reduce the computational cost from O (m 2 n) to O (c 2 m + t c n k c) (where c is the size of data subspace, m and n are the size of the input matrix, t is the number of iterations, k c is the number of features). Because CUR is explicitly expressed in terms of a small number of actual columns and actual rows of the original data matrix, the result of matrix decomposition has better interpretability. The advantage of what we devised CUR+RSVD and C+RSVD collaborative prediction approaches is that, they not only can deal with the large scale matrix rapidly but also preserve the sparsity of the original matrix, more interestingly, our approaches have higher prediction accuracy. Experimental results on Movielens, Joke data set, etc. show that what we proposed methods can handle the sparsity issue on large-scale low-rank matrix effectively. Compared with RSVD, it can achieve far better prediction accuracy and recommendation result, meanwhile save about 70% training time at the same dataset. [ABSTRACT FROM AUTHOR]

This study examines why some social media users choose to stop using these platforms, despite their widespread popularity. The research suggests that negative experiences associated with social media, which is referred to as the dark side of social media, can lead to feelings of regret and a desire to discontinue use. Privacy controls are also found to be important factors in users' decisions to discontinue using social media. Using case studies and an interpretive approach, the study proposes a new theoretical model for understanding social media discontinuance intention. It shows that regret is influenced by the dark side of social media that includes cyberbullying, misinformation, information overload, misuse, and online social stress. Regret and privacy control both influence discontinuance intention. In addition, the model identifies privacy controls as mitigating tools for regret, and summarizes privacy control types and methods that can alleviate the effects of dark side. [ABSTRACT FROM AUTHOR]

When the ACRL Framework was introduced, librarians were challenged to look at the presented threshold concepts and consider how to build on them through practice. STEM librarians have continually grappled with supporting student information seeking in an academic context, while fighting against information overload and misinformation. In social and professional contexts, it is often modeled for students that the fastest information is the best. There is a known implicit recognition of the importance of collaboration between LIS and other disciplines, however there is still a need to navigate various disciplinary silos, and ultimately an opportunity to develop theories and methods that can more fully build out impactful collaborative approaches to teaching information. Critical Evaluation of Information is an introduction to a new, disciplinary situated, threshold concept that is STEM information seeking specific and grounds itself on existing evaluation practices and evaluative frameworks using contextual factors to support students. [ABSTRACT FROM AUTHOR]

Information overload resulting from the ever faster-growing mass of digital data makes knowledge work more and more complex. Being able to not get distracted and focus on what is currently relevant consumes valuable cognitive resources. Support by intelligent assistance software might alleviate this problem. We report two experiments that addressed this challenge by examining how context-based assistance may provide more available cognitive resources. Experiment 1 focused on work within a single context. Results indicate that external relevance classification can improve memory for content classified as currently more relevant. Experiment 2 focused on switching between two different contexts and shows that cognitive performance after context switches can be enhanced by context-specific structuring and saving a previous task status. Taken together, these results clearly demonstrate that automatic external information structuring by intelligent assistance software can protect knowledge workers from information overload by lightening their cognitive load and, thus, help improve cognitive performance. [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]

In the Internet era, where information and communication technologies (ICT) allow data exchange, new tools able to select the correct data are needed. In this field, Recommender Systems have a prime location. The recommendation methods take many forms based on the information exploited in order to provide rating forecasts. However, all of them can choose the correct information to support users. Indeed, these methods allow for overcoming the information overload problem. This paper introduces the theoretical bases of a novel recommendation method defined Rating Singular Value Decomposition (RSVD). RSVD is a Content-Based method that exploits the Singular Value Decomposition properties in order to calculate rating forecasts. This method aims to elaborate the users and items profile to obtain matrices related to ones obtained in Collaborative Filtering methods that exploit Singular Value Decomposition. The accuracy of RSVD is compared with the accuracy of Collaborative Filtering methods, and a study on the sparsity problem is performed. The results obtained are promising. [ABSTRACT FROM AUTHOR]

In this paper, we address the distributed resilient fusion filtering (DRFF) problem for a class of nonlinear multi-sensor networked systems (MSNSs) with random sensor delay (RSD) under round-robin protocol (RRP). The RSD is depicted by the Bernoulli random variable with known occurrence probability. In order to relieve the network congestion, the RRP that can deal with information overload issue of the transmission process from sensor to the estimator is utilised. The major objective of this paper is that the resilient fusion filter is designed for nonlinear MSNSs with RSD and RRP in the light of the inverse covariance intersection approach, where the local upper bound regarding the filtering error covariance is obtained and then minimised by suitably exploiting the local filter gain. Finally, a simulation example that can show the validity of the provided DRFF algorithm is presented. [ABSTRACT FROM AUTHOR]

This paper explores the concept of mis/mal/dis-information (MMDI) and studies how information managers/professionals can manage the phenomenon of infodemic during the COVID-19 pandemic. We review existing literature to explore the current concepts, models, associations, and gaps in MMDI to highlight the critical role of information managers/professionals. The findings focus on defining MMDI/fake news and evaluating ongoing and emerging information literacy frameworks. Next, we highlight the existing initiatives and efforts made by Library and Information Science (LIS) professionals, LIS associations, and libraries to contradict the diffusion of MMDI and fake news and educate the public on how to navigate through an era of MMDI. Finally, the study summaries effective strategies designed by those within the LIS profession while suggesting recommendations as to how the information managers/LIS professionals can continue to improve their keys position in the digital age and contribute effectively to managing the phenomenon of infodemic. [ABSTRACT FROM AUTHOR]

The flood of publications during the COVID-19 pandemic exacerbated the challenge of information overload. The pandemic heightened the need for technologies that can assist researchers in keeping up with the literature. Approaches to organizing the COVID-19 literature included curation of specialized databases, aggregation of articles into a repository of machine-readable data, and application of text mining to the literature search process. Technologies developed for keeping up with the COVID-19 literature may have potential for improving in general the ability of researchers to keep up with the literature. [ABSTRACT FROM AUTHOR]

College students are directly immersed in the Age of Distraction brought on by advances in technology and information overload. During the COVID-19 pandemic, students also reported unprecedented stress and anxiety. In this research, I studied the experiences of 61 undergraduate and graduate students at a private college by starting classes with a brief meditation using a Tibetan Singing Bowl as an "attention bridge" to transition from outside life to classroom instruction. Findings suggest that students believe the pre-class meditation produced states of calmness, helped reset their minds, and created a more supportive learning environment, though a smaller number experienced difficulty with the practice or reported no benefit. [ABSTRACT FROM AUTHOR]

The article focuses on study conducted on micro-learning in teacher professional development (TPD) course for ICT leaders with the aim to expose teachers to pedagogical-technological knowledge and practices. Topics discussed include importance of andragogy in planning of TPD processes; benefits of micro-learning approach in blended learning model in TPD helping users to reduce information overload; and processes and outcomes in a TPD course designed for ICT leaders.

The purpose of the current research was to investigate Facebook discontinuance intentions in the Library and Information Science environment. The research model, building on the Theory of Planned Behavior, incorporated overload, fatigue, and self-efficacy, to understand the drivers behind users' intention to stop using Facebook (either permanently or intermittently) or replace it with another social medium. Overall, the results suggest that participants are unlikely to abandon Facebook either on a permanent or a temporary basis, at least in the near future. Furthermore, users' discontinuance intentions are primarily associated with evaluations about the consequences of their choice to abandon the medium. [ABSTRACT FROM AUTHOR]

The pressure of immediacy, the dictatorship of the click, and the growing avalanche of fake news have impacted journalism. Citizens are particularly skeptical about the information they receive from the press, especially in the digital media. Journalism is faced with the need – or almost the urgency – to rethink, reinvent and redefine messages, routines, and processes. In this regard, various initiatives, especially in Ibero-America, have opted for slow journalism as a reaction and response to information devaluation. The commitment to journalism that appreciates context and cares for narrative has driven this "slow" news trend that believes in "author journalism" and stories' humanization. Through the methodology of the case study, of a qualitative and exploratory nature, 12 experiences of "slow journalism" media in Ibero-America are reviewed, with a particular interest in their themes, contents, aesthetics, and sources of financing. It is concluded that these media are one of the few that carry out investigative journalism, although to subsist, they depend to a great extent on international cooperation agencies since their contents and aesthetics are elitist in comparison with their conventional digital peers, which reduces their capacity of maintenance by subscriptions and advertising. [ABSTRACT FROM AUTHOR]

In this paper I have two main aims. My first aim is to introduce the notion of bounded emotionality. This notion is the analogue of that of bounded rationality in behavioural economics. Bounded rationality says, roughly, that human beings are cognitively limited with respect to their processing and memory capacities. Bounded emotionality says that we are limited in our emotional capabilities, notably in the intensity, duration, and possible combinations of our emotional states. Bounded rationality is a foundational notion in behavioural economics and has played an important role in various fields of philosophy as well. In particular, in epistemology bounded rationality has been thought to have implications with respect to our doxastic norms. My second aim in this paper is to suggest that bounded emotionality also has an important role to play in philosophy. As a case in point, I discuss the implications that bounded emotionality has for our doxastic norms. In particular, I argue that one is not obligated to believe something or to stop holding a belief if one could not believe/fail to believe it without having an emotional response that exceeds one's bounded emotional capacities. [ABSTRACT FROM AUTHOR]

The role of social media, particularly Twitter, in ensuring the large-scale propagation of information cannot be overemphasised. This study introduces the recipient network's reciprocity toward a particular topic as a novel factor that contributes toward a central node's information propagation potential, in addition to other widely studied factors. It first employs multiple regression analysis to present a model that reveals the prominent roles played by both content popularity, focal ratio, engagement efforts of users, and the recipient network's reciprocity toward a topic, in determining his or her propagation potential. Further, it investigates the impact of the interaction terms of each of these propagation dimensions and the network's reciprocity toward the topic on a user's propagation potential. The results show that the network's reciprocity toward the topic (i.e. 'blockchain' in this study) is important for modelling the diffusion process accurately. Second, applying a multi-methods approach, this study also incorporates fuzzy set qualitative comparative analysis (fsQCA). It reveals four alternative combinations of explanatory variables (propagation dimensions) that are sufficient for achieving the expected outcome (propagation potential of the user/central node). The study found fsQCA results complementing the results of the regression model. [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]

To identify levels of bowel cancer information overload and associated predictors. A cross-sectional online survey of Tasmanians ≥18 years measured bowel cancer information overload using a modified Cancer Information Overload Scale. Descriptive statistics summarized participants' demographic and information overload data; linear regression investigated information overload predictors. The analysis included 3,701 Tasmanians (75.8% female). Above 50% of participants disagreed/strongly disagreed with the statements favoring information overload. Significant predictors of bowel cancer information overload included current smokers, body mass index, lower educational attainment, and living less rurally. In this study bowel cancer information overload was associated with lower educational attainment, current smokers, higher body mass index, and living less rurally. [ABSTRACT FROM AUTHOR]