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AI-powered misinformation detectors—artificial intelligence tools that identify false or inaccurate online content—have emerged as a potential intervention for helping internet users understand the veracity of the content they view. However, the algorithms used to create these detectors are experimental and largely untested at the scale necessary to be effective on a social media platform. Furthermore, the assumptions programmed into these algorithms frequently conflict with everyday, non-threatening online communication, potentially leading to unwarranted censorship. Consequently, understanding the current limitations of AI interventions for misinformation detection on the internet is important for developing better iterations of these tools and forming effective policies around them. [ABSTRACT FROM AUTHOR]

Shared services have become an important IT-enabled organizational form for providing support business functions to internal users. The information systems that implement and deliver shared services are part of the organizational IT infrastructure that has a twofold effect on firm financial performance. On the one hand, with the shared services model, the IT infrastructure consolidates so that the costs are lowered for providing the common functions firm-wide. On the other hand, the systems delivering the shared services embody the workflow and business functions so that the value of shared services can be gained from improvements in the function performance at the process level. We perceive finance shared services as IT-enabled services for corporate finance and accounting functions, and propose that finance shared services improve firm profitability via cost savings at firm level and via increased working capital efficiency at the process level. We test our hypotheses with data on Chinese public firms from 2008 to 2019. Data analysis results show both direct effect of finance shared services on profitability and mediating effect of working capital efficiency. This study expands our understandings about impacts of shared services, and contributes to empirical research in IT business value. [ABSTRACT FROM AUTHOR]

This article uncovers an increasingly dominant hyper-nationalistic digital landscape in mainland China, illustrated by the prohibition and complete removal of Chinese actor and celebrity Zhehan Zhang after he posted on Instagram photos of a trip to Japan, which included pictures of the Yasukuni Shrine buildings, a potent symbol of Japanese militarism. This landscape of pervasive censorship impacts public figures and regular netizens alike, in which context nationalism becomes a powerful tool for ousting individuals based on 'past mistakes'. Our analysis reveals a dual consequence: a combined censorship approach by authorities and netizens, targeting various individuals, while reinforcing implicit approval of this cyber-nationalistic atmosphere. [ABSTRACT FROM AUTHOR]

Much research has studied the impacts of atmospheric factors on immersion in commercial websites and on consumer online behaviour. However, it has, each time, tested the impact of the virtual technologies separately keeping unexplored their simultaneous impact on Internet users' attitudes and behaviors. Therefore, this study examines the simultaneous effects of avatars and the 3D decor in the context of guesthouse websites on online immersion and explores the consequences in terms of mental imagery and behavioral intentions. The results of an experiment validate the hypotheses and offer interesting managerial recommendations. This research provides a better understanding of online immersion and consumer behavior in a hyper-real environment. [ABSTRACT FROM AUTHOR]

The presence of information on multiple health websites necessitates assessing its credibility. Users use a search engine to look for content on the website. Internet users do not have time to pay enough attention to websites' credibility. It may be riskier when the user is searching for health data. It could put their lives at risk. When users want to search for data related to content-driven health websites, accessing credibility is necessary, as using the wrong information threatens users' lives. The eHTrust (Electronic Health Trust) model is designed and implemented to automate the credibility of websites. Using the XGboost algorithm, the eHTrust model eliminates all phishing URLs. The XGboost algorithm has a 93.8 accuracy rate. After obtaining legitimate websites, we extract the values of credibility-determining features from their content, such as response time, expert reviews, updated date, responsiveness, and SSL-certified values. The data set is prepared based on the values of the identified features. The Multi-Criteria Decision Analysis (MCDA) method PAPRIKA (Potentially All Pairwise Rankings of All Possible Alternatives) assigns weights to the scale values on each feature, representing the relative importance of the attributes. All the websites are clustered into three groups using a KMeans algorithm. The model's cluster-wise mean credibility score is calculated and labeled with the trust value. The trust values are then compared with the cluster-wise mean credibility score of WOT (Web of Trust). The correlation was found to be 0.8976, thus verifying the model's validity. [ABSTRACT FROM AUTHOR]

The Internet real‐name system is widely implemented among Chinese Internet users, and many commonly used apps in China exist the functions of real‐name authentication. However, our study found that many apps do not have effective restrictions on user's operations of real‐name authentication, resulting in users being able to frequently perform unsuccessful real‐name authentication attempts. This vulnerability can help an attacker crack celebrity's ID card number by enumeration attacks, and a feasible cracking method was proposed in this paper. First, the information of birth date, birth place, and life experiences of a celebrity is collected from the platforms that display celebrities' personal information (e.g., Wikipedia, Baidu Baike, etc.). In this process, an information extraction method is used to infer permanent residences from life experiences. Then, the possible ID card numbers of a celebrity can be constructed by using the information of birth date, birth place, and permanent residences. Finally, these possible ID card numbers will be verified by sending requests to platforms that have vulnerabilities in the function of user real‐name authentication, until the real ID card number of a celebrity being cracked. This paper conducted cracking experiments on two groups of celebrities. The first group of celebrities is collected from the news events of privacy leakage that were publicly available online, and the second group of celebrities is randomly selected from two encyclopedia platforms. The experimental results showed that the success rate of cracking the ID card numbers of celebrities is 53.9%, which verified the effectiveness of the proposed cracking method. Besides, this paper proposed some security precaution suggestions to solve this security problem, and the implementation, feasibility, potential impact, expected effectiveness of these measures were also analyzed. To our knowledge, our paper is the first to point out the issue of privacy leakage of celebrity's ID card number caused by apps' real‐name authentication functions in China. We believe that our research will attract widespread attention from society regarding celebrity's privacy information protection. [ABSTRACT FROM AUTHOR]

This article uses the case of the Henan health code scandal and Chinese netizens' response to it to illustrate the local politics in the age of automated decision-making systems in China. It examines how a local stability maintenance endeavour has become a sign of the misuse and abuse of power and technology by an authoritarian Party-state and its ruling elites to safeguard their own interests and power. The performative disciplining of local culprits by the central government demonstrates not only the tension between local and central authorities but also the pitfalls of big-data-driven digital governance and social control systems when such systems are arbitrary and lack provision for human rights protection. Chinese netizens' response to the scandal demonstrates the possibilities and limits of networked communicative mobility. [ABSTRACT FROM AUTHOR]

This study explores the underlying aspects of netizens’ reactions and actions when viewing philanthropic organizations’ posts on social media. The reactions of netizens in question are pressing the like and/or share buttons and writing comments. Meanwhile, the action is to donate. Our data comes from a survey with open-ended questions. Our respondents totaled 583 people. We found that the reaction of pressing the like button is most often done and generally without a specific reason. Netizens will press the share button when the philanthropic organization’s post evokes emotions. Netizens comment to convey trust and as a way to show sympathy for the beneficiaries. Video is a medium with higher news value and makes netizens more willing to donate than photos. Netizens will donate to a philanthropic organization’s post when they trust the institution, and it contains transparent information about the beneficiaries’ conditions and accountability and touches emotions. The presence of relevant religious quotes in the narrative of philanthropic organizations’ posts also increases netizens’ motivation to donate. [ABSTRACT FROM AUTHOR]

This paper analyses the role of governance quality in the relationship between the Internet and financial inclusion in Sub-Saharan African countries. The study uses data from the International Monetary Fund (IMF) database for indicators of financial inclusion, World Development Indicators (WDI) for Internet users and World Governance Indicators (WGI) for governance indicators from 2004 to 2020. Analyzing the data using the System Generalized Method of Moments (SGMM), the results show that the Internet can be effectively complemented with the quality of governance to improve financial inclusion. Thresholds of governance that are needed for the Internet to promote financial inclusion are provided. Policies aimed at reinforcing the quality of governance in SSA countries could help consolidate Internet infrastructure to promote Internet usage and, in turn, improve financial inclusion. Other policy implications are discussed. [ABSTRACT FROM AUTHOR]

The study uses different statistical techniques to understand the relationship between variables explaining the digital divide and classification based on The Inglehart-Welzel Cultural Map for 2023. To achieve this purpose variables focusing on Digital Penetration (the percentage of internet and social media users and mobile cellular connections), Operating Systems share (iOS and Android), Device Traffic (laptop/mobile phone-based web traffic) as well as Mobile Commerce variables (bills and payments using mobile internet) were included in the analysis. To minimize any effects arithmetic means of data was calculated.: The results from one-way ANOVA tests indicate significant differences among groups classified by cultural values for almost all measured variables of digitalization. The mean squares and F-values across variables like cellular mobile connections, internet users, and active social media users are significant indicating a shift towards more secular and self-expressive cultural values. The results of the GLM procedure show that significant portions of the total variance in digitalization variables are associated with membership in groups based on the cultural map. This suggests that cultural classifications can explain substantial differences in digital behavior and preferences across populations. Spearman's correlation coefficients showed strong positive correlations between Traditional/Secular values and several digitalization metrics, such as the use of mobile phones or the internet for payments, and negative correlations with others like share of web traffic by device type (mobile vs. laptop/computer). These correlations suggest that cultural values play a substantial role in influencing digital habits and accessibility. [ABSTRACT FROM AUTHOR]

With the global expansion of the Internet and the World Wide Web, users are becoming increasingly diverse, including their language proficiencies. In particular, there is now a significant number of polyglot Web users, i.e., users who are proficient in more than one language. However, even such users with potential access to a broad range of information from multiple languages often continue to suffer from unbalanced and fragmented news information, as traditional news access systems seldom allow users to simultaneously search for and/or compare news in different languages. To overcome language barriers, the majority of research has focused primarily on improving retrieval and translation accuracy, while paying comparably less attention to multilingual user interaction aspects. In particular, relatively little human-centered research has been conducted to better understand and support multilingual user abilities and preferences, and even less so regarding news search and different access modalities (such as desktop and mobile interfaces). The research presented in this article provides the first comparative analyses of polyglot users' preferences and behaviors with respect to different multilingual news search interfaces on both desktop and mobile platforms. Specifically, through a set of task-based user studies in laboratory experiments, the key contribution of this article is the presentation of the first human-centered studies in multilingual news search result interfaces, aiming to drive the development of human-centered multilingual news access systems for both desktop and mobile platforms. This contribution includes a detailed analysis of different interface design paradigms, as well as a series of implications for design. [ABSTRACT FROM AUTHOR]

This study aimed to explore the heterogeneity in the symptoms of pathological Internet use. The predictive role of online cognitions and online dissociative experiences on pathological Internet use were investigated. Three hundred and ninety Turkish undergraduate students (261 females) participated in the study. Latent class analysis (LCA) was performed. Items responses on the 26-item Chen Internet Addiction Scale were subjected to LCA. The LCA identified three latent classes: (1) Normal Internet Users (n = 141, 36.15%), (2) Problematic Internet Users (n = 148, 37.95%), and (3) Pathological Internet Users (n = 101, 25.90%). The multinomial regression analysis showed that online cognitions, anxious arousal, and online dissociation were significantly associated with pathological Internet use. Our findings showed that the online dissociation as measured by the Van Online Dissociative Experiences Schedule and mental dissociation as indexed by the Dissociative Experiences Scale are qualitatively different constructs in relation to addictive behaviors on the net. Online dissociation and online cognitions seem to be crucial vulnerability factors for pathological Internet use. [ABSTRACT FROM AUTHOR]

People's perception of privacy can primarily be directed to themselves or to the value of privacy for society. Likewise, privacy protection can repel both individual and collective privacy threats. Focusing on this distinction, the present article examines Internet users' privacy protection behaviors in relation to individual privacy concerns and their perceived collective value of privacy over time. We conducted a longitudinal panel study with three measurement points (N = 1790) to investigate relations between and within persons. The results of a random-intercept cross-lagged panel model revealed positive relations between the perceived value of privacy, privacy concerns, and privacy protection between persons. At the within-person level, only a temporal increase in the perceived value of privacy was related to increased protection behaviors. This suggests that individual privacy concerns are not as important for temporal protection as assumed, but that a recognition of collective privacy may temporarily change people's privacy behavior. [ABSTRACT FROM AUTHOR]

Copyright of Egyptian Journal of Information Sciences is the property of Beni Suef University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Click behavior is a typical user behavior in the web search. How to capture and model users' click behavior has always been a common research topic. However, there are few review studies on this topic. In this paper, we present a survey to comprehensively analyze click models of web search via types of models. Based on differences in research hypotheses and modeling methods, click models are generally divided into probability graph-based click models, neural network-based click models, and hybrid click models. Firstly, we give a discussion of click models in the extant literature, within which basic assumptions and their extensions, advantages and disadvantages for click models are presented. We also compare and analyze the characteristics and application scenarios of different types of models. Secondly, we choose eight representative click models and conduct comparative experiments on two real-world session datasets to compare their performance. Finally, we identify current research trends, main challenges and potential future directions of click models worthy of further explorations. [ABSTRACT FROM AUTHOR]

Increasingly many studies have provided practical suggestions for fashion YouTubers as fashion information sources, but no research has yet investigated the resources exchanged in the relationships between fashion YouTubers and viewers. Based on interviews with three Korean fashion YouTubers and ten of their viewers, this study examined social support in their relationships. Viewers acquired information from fashion YouTubers and, therefore, experienced informational support. Subsequently, as a sense of belonging to fandom emerged, established mainly by viewers subscribing to a fashion YouTube channel, network support was experienced by both fashion YouTubers and viewers. Along with constant communication, they shared their values and experienced emotional support through mutual empathy. Therefore, this study verified previous theories according to which both informational and emotional exchanges are possible in online relationships. Furthermore, network support was an important process, which may be connected to emotional support, since these relationships were autonomously established by online users. [ABSTRACT FROM AUTHOR]

Behind everyday websites, a hidden shadow world tracks the behavior of Internet users. Web tracking analyzes online activity based on collected data and delivers content tailored to users' interests. It gathers vast amounts of information for various purposes, ranging from sensitive personal data to seemingly minor details such as IP addresses, devices, browsing histories, settings, and preferences. While Web tracking is largely a legitimate technology, the increase in illegal user tracking, data breaches, and the unlawful sale of data has become a growing concern. As a result, the demand for technologies that can detect and prevent Web trackers is more important than ever. This paper provides an overview of Web tracking technologies, relevant research, and website measurement tools designed to identify web-based tracking. It also explores technologies for preventing Web tracking and discusses potential directions for future research. [ABSTRACT FROM AUTHOR]

Introduction: According to the statistics of the World Bank, the amount of carbon dioxide emissions in Iran has grown by 210.65% in the last thirty years. In such a situation, this unfavorable situation should be changed in line with environmental standards, which naturally requires the identification of important factors affecting pollution. The main purpose of this research is to investigate the factors that seem to affect pollution according to the background. As economic complexity improves, higher knowledge and technological progress can lead to less polluting activities. Reducing economic risk and consequently increasing investment, if it is followed by efficient use of inputs and the use of environmental technology, can reduce pollution by overcoming the effect of scale. Higher energy prices, energy-efficient technologies and low energy prices have imposed technologies with a higher share of energy input on companies, which has an impact on the environment. The impact of trade expansion on pollution depends on the results of scale, combination and technical effects. ICT can change the efficiency of energy consumption by moving the economy towards a knowledge-based structure, by substituting information for energy, and thus affect pollution. Urban density can reduce energy consumption by creating economies of scale for public urban infrastructure, while the absence of proper urban infrastructure has the opposite effect. FDI increases relative advantage in which production sector affects pollution. Also, the advanced technology that comes with FDI affects the environment.Materials and Methods: Explanatory variables of the model are economic complexity, interrelationship between economic risk and investment, interrelationship between energy price and energy intensity, trade liberalization, internet users, capital per capita, foreign direct investment and urbanization rate and the dependent variable of carbon dioxide emissions. The information of the variables was obtained from the World Bank, the MIT University website, and the International Country Risk Guide (ICRG) database and the energy balance sheet. The investigated period was during 2000-2022 and the ARDL method and EViews 9 software were used in the estimation.Results: With the increase of economic complexity variables, energy price-energy intensity interrelationship, internet users and foreign direct investment, the amount of carbon dioxide emissions decreases in both short-term and long-term periods. The variables of mutual effects of economic risk-investment and capital per capita on pollution did not have a significant effect in both time periods. Commercial liberalization and urbanization have created a significant negative impact on the quality of the environment in the short and long term. Discussion: The improvement of economic complexity has led to the dominance of technical and structural effect over scale effect and has reduced pollution. The increase in investment in the country, along with the reduction of economic risk, has not yet reached a level that can reduce pollution through the channel of economic growth. With the increase in energy prices, incentives have been placed in the direction of increasing energy efficiency, as a result of which pollution is reduced. As a result of the increase in exports due to trade liberalization, the use of resources and energy has been inappropriate, and in this regard, environmental laws and standards have also been ignored. The expansion of urbanization has increased the pollution with the expansion of economic activities, and in this regard, it has not been able to reduce the intensity of energy and pollution for public urban infrastructures through the creation of economies of scale. Foreign direct investment reduces pollution with the possibility of improving energy efficiency through technology spillover from foreign companies to domestic companies.

Background: The integration of the Internet into daily life has potential implications for public health, especially in promoting preventive healthcare measures like annual health checkups. This study explores the association between Internet use and the likelihood of participating in these checkups among older Japanese citizens. Methods: Participants aged 65 and older were randomly selected from 37 municipalities in Japan, ensuring they required no long-term care. Out of 24,313 responses to a postal questionnaire, 11,495 participants were deemed eligible for analysis, achieving a valid participation rate of 70.1%. We applied propensity score matching to balance Internet users and non-users, resulting in 6,504 matched cases. Poisson regression analysis was then used to adjust for demographic, socioeconomic, and behavioral variables that could act as potential confounders. Results: Our findings show that 55.1% of participants used the Internet several times a month, and among these, 63.5% had attended an annual health checkup in the preceding year. After adjusting for potential confounders, Internet users were found to be 9% more likely to participate in annual health checkups compared to non-users (95% Confidence Interval: 1.02–1.15). Conclusions: This study concludes that there is a positive association between Internet use and participation in annual health checkups among older individuals in Japan. The results suggest that Internet use may serve as a tool to promote preventive healthcare practices in older populations. However, the study underscores the need for further investigation to understand the underlying mechanisms of this association and to establish a causal relationship. [ABSTRACT FROM AUTHOR]

Fear of missing out (FoMO) has become a significant issue experienced by internet users. However, research on FoMO has not been extensively explored. Therefore, the current study examines whether there is a relationship between self-confidence and self-control on Fear of missing out. This is a quantitative study with a descriptive correlational design, involving a sample of 164 students. The result show that self-confidence is significantly negatively correlated with fear of missing out. Addictionally, self control is also negatively correlated with Fear of missing out. Hence, in addressing FoMO, counselors need to enhance individuals' self-confidence and self-control as protective strengths. [ABSTRACT FROM AUTHOR]

The relevance of the subject of this study is due to the widespread use of web animation techniques in the development of modern Internet resources and the related need to examine the degree of influence of the created effects on user perception. The purpose of this study is to examine modern methods of web animation in the context of their use to increase the number of visitors to a web resource. The methodological approach is based on a combination of an experiment and a subsequent survey to identify the marketing and psychological aspects of the impact of web animation on the perception of visitors to an Internet resource and their level of engagement. The results obtained reflect various ways of constructing web animations and their characteristic features and elements that are important in terms of influencing the perception and reducing the number of refusals by users of Internet resources. A number of examples of building web animations in various ways are presented, and the characteristic features of using a skeleton loader are considered, which is an example of a user interface template that is used to improve user interaction when downloading content in web applications and mobile applications. [ABSTRACT FROM AUTHOR]

This article demonstrates how mediatization facilitates the (re)production of mock language. Through an examination of Chinese netizens' reactions to a series of viral internet commercials that feature three Hong Kong actors speaking nonstandard Mandarin, it uncovers the processes whereby Gangpu (Hong Kong Mandarin) has become increasingly perceived in China as funny. The vast scale of uptake formulations enabled by mediatization has made it possible for Chinese netizens to engage in a collaborative effort not only in highlighting certain features of Gangpu and certain elements of the commercials but also in presenting them in ways that evoke specific meanings and interpretations. Ultimately, it is through the parodic revoicing of Hong Kong celebrities speaking nonstandard Mandarin that this non-native variety has come to be keyed as humorous. This study shows that we gain a better understanding of how mock practices reinforce and build on each other by tracing their uptake and circulation. (Mediatization, mock language, parody, listening subject, Mandarin Chinese, Hong Kong, China) [ABSTRACT FROM AUTHOR]

Digital literacy affects how people use the internet. However, we argue that the concept of "digital literacy" cannot usefully be applied to all internet users; there is simply too much heterogeneity across devices, platforms, and social contexts. We conduct surveys in Mexico and Colombia to understand how these people use the internet. We find that WhatsApp is by far the dominant platform across all sectors of society. In contrast to evidence from the US, we find that education is a better predictor of two measures of digital literacy than is age. We then conduct a survey experiment to test how people understand news shared on WhatsApp. We find that the inclusion of a link to source material increases respondents' trust in a message shared on WhatsApp, but that the platform-supplied note that a message has been shared many times has no such effect. [ABSTRACT FROM AUTHOR]

In recent years, there has been significant interest in the deployment of Low Earth Orbit (LEO) satellite constellations as a potential solution to provide broadband internet access to remote regions [1]. One such constellation, Starlink, run by SpaceX, promises fast internet connectivity via its constellation of satellites in low Earth orbit. In this study, a comprehensive analysis of Starlink’s performance in Nigeria was given, assessing five performance metrics: latency, packet loss, throughput, routing strategy, and environmental influences. The tests were conducted for the various metrics using command-line tools like Ping (Packet Internet or Inter-Network Groper), tracert (traceroute), iperf3 (Internet Performance Working Group), and Python scripts which were used to both automating the test procedures and analysing the collected data. Our findings reveal that Starlink’s latency was higher than advertised but still low compared to most Mobile Network Operators (MNOs) in Nigeria, making it suitable for the majority of internet users. On average, the study found that packet loss remained relatively low, jitter was within acceptable limits, and throughput exhibited variations but generally maintained satisfactory levels. Also, heavy rainfall was found to affect Starlink’s performance, highlighting the impact of environmental factors. [ABSTRACT FROM AUTHOR]

This paper focuses on the internal law of online public opinion spreading under the conditions of different types of spreaders by constructing the model of public opinion spreading by subtypes of spreaders. The new S I S I O I N model is constructed by abstracting factors such as netizens' interests, emotions and views on hot events in the Internet into propensity indices. The simulation results show that the spread of public opinion after categorizing netizens is more in line with the spread of public opinion in reality. Moreover, netizens tend to show different spreading behaviors in different public opinion cases, and the degree of change in netizens' propensity varies greatly. All the data used in the simulation experiments are real data and analyzed with real events. The research results are helpful for what kind of control strategies are adopted after the occurrence of hotspot events. [ABSTRACT FROM AUTHOR]

The development of the digital era is currently very intense, accompanied by the progress and rapid changes in the increasingly fast internet. According to the We Are Social report, the number of internet users in Indonesia has reached 213 million people as of January 2023. This number is equivalent to 77% of Indonesia's total population of 276.4 million people at the beginning of this year. The number of internet users in the country rose 5.44% compared to the previous year. This shift to fast internet has resulted in terrestrial television slowly starting to change into digital television. Looking at the data above, the increase in internet users is also caused by the millennial generation accessing all online-based content, namely social media which is currently viral. The aim of this research is to review how the big effect of social media can spread to the massive dissemination of information about the Pondok Modern Darussalam Gontor Islamic boarding school through Gontor television media management in terms of its system, structure and technical aspects. The method in this research uses descriptive qualitative with interview and observation data collection techniques. The research results show that Gontor television already has a strong and good crew foundation but is not yet professionally qualified. This also influences the operation of integrated systems and techniques between Gontor television centers and branches which have approximately 21 points throughout Indonesia. [ABSTRACT FROM AUTHOR]

Facilitating direct citizen participation through online channels is considered as an opportunity for including harder to reach groups in participation. Because young adults (18‐25) are heavy internet users, this group is expected to be easier to include online. Evidence shows, however, that also in online direct participation young adults remain underrepresented. To better understand this discrepancy from the perspective of participants, this research asks how young adults explain their intention to participate online. Thematic analysis highlights that young adults' intention to participate in online direct participation can be explained through: (1) cause‐oriented participation, (2) the role of social (media) networks, (3) selective attention to cope with information overload, and (4) navigating misinformation and negativity. In the discussion section, this article considers how these explanations can inform government strategies for better including young adults in online direct participation. [ABSTRACT FROM AUTHOR]

Copyright of Turkiye Klinikleri Journal of Medical Ethics-Law & History / Türkiye klinikleri tıp Etiği, Hukuku ve Tarihi Dergisi is the property of Turkiye Klinikleri and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

With the increase of Internet users, the traditional music recommendation model cannot meet the increasing personalized needs of users. The single deep cross network model has some defects in music recommendation, such as poor stability and inability to process complex data. To overcome the shortcomings of existing models, a new hybrid music recommendation model combining CatBoost algorithm and deep cross network is constructed to improve the recommendation performance and better meet the individual needs of users. Then the performance of the hybrid model is compared with other algorithms. The results showed that the accuracy of the proposed hybrid algorithm was up to 92.7%, which was superior to the comparison algorithm. In comparison with other single model and hybrid model, it is found that the proposed model was more than 0.05% higher than other models in the four indices of AUC area, accuracy, precision and recall. The above results showed that the proposed hybrid music recommendation model could efficiently process data information and provide users with accurate personalized music recommendation. This study not only promoted the development of music consumption and creation, but also found that the CatBoost-DCN hybrid model was significantly effective in improving recommendation performance. This finding provides a more efficient recommendation strategy for music platforms and has far-reaching significance for improving user experience and satisfaction. [ABSTRACT FROM AUTHOR]

Copyright of Jurnal Ekonomi Manajemen Sistem Informasi (JEMSI) is the property of Dinasti Publisher and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Background: Currently, the trend of using online food delivery applications in Indonesia is growing. Many people are buying food or simply searching for information about available restaurants through food delivery apps. Indonesia itself has become one of the countries with the highest number of internet users utilizing online food delivery applications in the world. Purpose: This research aims to determine the factors that influence repeat purchase decisions on online food delivery applications, which are based on purchase frequency and total purchase value. Design/methodology/approach: The analysis techniques used are descriptive analysis and logistic regression analysis. Findings/Result: The research results showed that product intrinsic factors and loyalty had a significant effect on purchase frequency, while product extrinsic factors, motivation factors, and situational factors did not have a significant effect on purchase frequency. Situational factors and loyalty have a significant effect on the total purchase value, while product intrinsic factors, product extrinsic factors, and motivation factors do not significantly influence the total purchase value. Conclusion: This research shows that a person's purchase frequency is influenced by the intrinsic qualities of the product being sold and by loyalty, where the individual is accustomed to buying the product. Additionally, the total purchase value on food delivery apps is influenced by situational factors and loyalty, where situational factors, such as ongoing promotions, also have a significant impact. Originality/value (State of the art): This research attempts to explain which factors can influence a person in purchasing a product based on the purchase frequency and the total purchase value. [ABSTRACT FROM AUTHOR]

During the last two decades, Internet use has increased in all parts of the world. Although, the trend of actively using the Internet for seeking health-related information was already on the rise, it accelerated soon after the COVID-19 pandemic. Along with the increased use of the Internet for health decisions, serious concerns have been raised due to fake or misinformation. This study aims to determine the impact of Internet use for gathering health-related information on the disease management behavior of patients and to identify the mediating role of perceived credibility of online information. The study surveyed 200 chronic disease patients with diabetes and hypertension from the Pakistan Institute of Medical Sciences (PIMS), Islamabad, Pakistan. It is concluded that overall health-related Internet use has a positive impact on the disease management behavior of chronic disease patients. The study further confirms the mediating role of the perceived credibility of online information. Patients who are frequent users of the Internet for health information, who perceive online information more credible, reported better disease management behavior as compared to the less frequent users and those who perceive online information less credible. [ABSTRACT FROM AUTHOR]

Copyright of International Journal of Language Academy is the property of Rota Kariyer and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This article examines recent development in the regulatory landscape of online harms in the UK and US through a free speech lens. In so doing, it undertakes a comparative analysis of the UK’s Online Safety Act 2023 and laws in US states that is grounded in UN guidance advising that approaches to regulating online harms be grounded in human rights. Ultimately, this examination leads to the conclusion that the Online Safety Act and similar efforts at the state level in the US do not reflect human rights based approaches to regulation in this area. While American courts are reigning in state legislation based on the expansive protection of free speech under the First Amendment, the constitutional restraints in the UK are weaker. This raises concerns regarding the adequate protection of the free speech rights of internet users, particularly in the UK. [ABSTRACT FROM AUTHOR]

The multifaceted nature of online rumors poses challenges to their identification and control. Current approaches to online rumor governance are evolving from fragmented management to collaborative efforts, emphasizing the proactive management of rumor propagation processes. This transformation considers diverse rumor types, the response behaviors of self-media and netizens, and the capabilities of regulatory bodies. This study proposes a multi-agent intervention model rooted in uncertainty theory to mitigate online rumor dissemination. Its empirical validation includes comparing three rumor categories and testing it against a single-agent model, highlighting the efficacy of collaborative governance. Quantitative assessments underscore the model's utility in providing regulatory authorities with a robust theoretical framework for adaptive decision-making and strategy adjustments based on real-world conditions. [ABSTRACT FROM AUTHOR]

Background: The proliferation of internet use in the 21st century has brought about a pluralistic effect on health. Users of the internet are more exposed to health information, thus, making them more health literate and more likely to adopt healthy behaviors. However, frequent use of the internet has been found to adversely affect mental health (e.g., depression), social wellbeing, and obesity. Yet, the link between internet use and physical health outcomes such as hypertension remains less explored. We examined the association between frequency of internet use and hypertension risk among women and men in Kenya using data from the 2022 Kenyan demographic and health survey. Results: Overall, the prevalence of hypertension was higher among women (1,398 [8.69%]) compared to men (504 [3.49%]). Those who reported using the internet often reported higher prevalence of hypertension (women: n = 638 [10.49%]; men: n = 279 [3.98%]). The mean age was 29.3 years (SD = 9.6) for women and 29.9 years for men (SD = 10.9). After adjusting for potential confounders, women who reported often using the internet also demonstrated a significant association [AOR = 1.21; 95%CI: 1.03–1.43]. However, we found no significant association between frequency of internet use and hypertension among men after adjusting for confounders. Conclusion: Our study concludes that frequent use of internet is positively associated with hypertension risk among women but not men. Policymakers may consider implementing guidelines or regulations to promote healthy internet usage habits and encourage breaks or limits on screen time, especially for individuals at risk of hypertension (i.e., older women of reproductive age, women with higher education, married and previously married women, those in affluent households, parous women, those who consume alcohol and those overweight/obese). Healthcare providers should educate patients about the potential health consequences of prolonged internet usage and incorporate discussions about screen time management into routine clinical encounters. [ABSTRACT FROM AUTHOR]

Internet privacy has been proposed as a new dimension of the digital divide. Although Internet privacy relates to all segments of the population, older Internet users are particularly vulnerable because they generally have lower Internet skills. Coupled with their high level of privacy concerns, this can dissuade them from fully engaging in a variety of Internet uses. As older adults overcome their limited Internet skills by asking others to perform online activities on their behalf, a practice known as use-by-proxy, it is likely that this is also a strategy for dealing with Internet privacy concerns. Therefore, we examine how Internet skills, along with Internet privacy concerns and perceived privacy control, influence their Internet uses and use-by-proxy. To this end, we develop an integrative conceptual model and test it with structural equation modelling using data collected in November 2021 from a nationwide sample of 460 Internet users aged 65+ in Slovenia. [ABSTRACT FROM AUTHOR]

The literature has long recognised non‐democratic regimes that are increasingly using Internet manipulation to undermine the opposition. Apart from network control, content surveillance and paying for Internet commentators, the implications of the new trend of online counter‐mobilisation remain to be explored. By analysing 5124 YouTube videos of Hong Kong's Anti‐extradition Bill Protests, this study examines how pro‐regime opinion leaders counter‐mobilised pro‐regime contents and Internet users responded to their videos. The results indicate that the main concern of the pro‐regime opinion leaders was to (i) demobilise the protests, (ii) condemn opposition figures and (iii) show their support for the authorities. Users were mainly participative in videos related to (i) justify suppression, (ii) support for front‐line police officers against protesters and (iii) criticism of the opposition. These differences reflect the apparent asymmetry between opinion leaders, who provide more negative contents, and followers, who have better responses to positively framed contents. The findings further contribute to exploring the strategies of the pro‐regime counter‐framing to overcome the challenges of the opposition camp. [ABSTRACT FROM AUTHOR]

Recently, light fidelity (Li-Fi) technology becomes important for rapid data transmission in the network. Integration of different communication technologies can be used to address the traffic limitations posed by increasing number of Internet users. Hybrid Wi-Fi/Li-Fi networks (HLWN) make use of rapid Li-Fi data transmission and Wi-Fi coverage So, the combination of them can resolve the limitations of both technologies and enhance the efficiency of the overall network. At the same time, the choice of access point (AP) remains a difficult task as the coverage regions of various networks overlapped with one another. Based on instant channel data, the traditional load balancing schemes allocate every client to a certain AP, offering the optimum solutions at a time instance. But it can results in several handoffs for clients and degrade the throughput performance. Therefore, this article develops a Mobility aware LB using Kho–Kho optimization algorithm (MALB-KKOA) for HLWN. The presented MALB-KKOA technique is investigated in two aspects such as It is permissible to have both several AP associations (MA) and a single AP association (SA) (MA). In the SA phase, every client is aided by an AP either Li-Fi or Wi-Fi where the MALB-KKOA model allocates every client to a particular network over a time duration to reduce handover. On the other hand, in the MA phase, every client is concurrently assisted by Li-Fi as well as Wi-Fi, and no vertical handover takes place. In addition, the MALB-KKOA model is mainly based on the approaches utilized by the players in a tag-team game named Kho–Kho. Moreover, the MALB-KKOA model computes an objective function for the minimization of packet loss and delay. The experimental validation of the MALB-KKOA model is tested and the results signified its promising performance over other recent approaches. [ABSTRACT FROM AUTHOR]

The essay explores the challenges and opportunities presented by the new European electronic communications code (EU Directive 2018/19712) within the context of the European strategy for the digital market. It discusses the evolution of digital platforms, emphasizing their significance as information intermediaries. The concept of "netizenship", or digital citizenship, and its cultural relevance in the modern era is explored. The document also highlights the importance of algorithmic transparency and the evolution of privacy in the age of Big Data. The issue of digital sovereignty is addressed, and the urgency for enhanced data protection in an increasingly connected world is underscored. [ABSTRACT FROM AUTHOR]

Internet users possess accounts on dozens of online services where they are often identified by one of their e-mail addresses. They often use the same address on multiple services and for communicating with their contacts. In this paper, we investigate attacks that enable an adversary (e.g., company, friend) to determine (stealthily or not) whether an individual, identified by their e-mail address, has an account on certain services (i.e., an account enumeration attack). Such attacks on account privacy have serious implications as information about one's accounts can be used to (1) profile them and (2) improve the effectiveness of phishing. We take a multifaceted approach and study these attacks through a combination of experiments (63 services), surveys (318 respondents), and focus groups (13 participants). We demonstrate the high vulnerability of popular services (93.7%) and the concerns of users about their account privacy, as well as their increased susceptibility to phishing e-mails that impersonate services on which they have an account. We also provide findings on the challenges in implementing countermeasures for service providers and on users' ideas for enhancing their account privacy. Finally, our interaction with national data protection authorities led to the inclusion of recommendations in their developers' guide. [ABSTRACT FROM AUTHOR]

Communication accommodation is by definition a form of a person adapting himself or in other words the adaptation made to the person he is speaking to. This research will discuss the analysis of group communication accommodation for mobile legend online game players on Tel-u Alpha. This research aims to determine the group communication accommodation that occurs among mobile legend online game players on Tel-u Alpha. This research uses qualitative methods by collecting data through interviews with focus group discussions conducted with Telu Alpha. In this research, Giles uses CAT theory or Communication Accommodation Theory. The research results showed that there were adjustments made by each member of the Tel-u Alpha team because adjusting their way of communicating, would make it easier for the team to achieve common goals. This can happen because communication accommodation aims to equalize perceptions to reduce conflict that will occur in a group. [ABSTRACT FROM AUTHOR]

Background: Work-related asthma (WRA) is often undiagnosed and underreported. The occupational asthma web application (OAKKU) has been created to assist in identifying asthmagens to find and manage WRA. However, it has language limitations and lacks a user guide. Objective: To develop an effective OAKKU web application user guide using participatory action research (PAR). Materials and Methods: The design of the present study was PAR. The study was conducted in two loops of PAR at two asthma clinics, with the eight participation of physicians, nurses, nurse assistants, and pharmacists. Data was collected through group meetings, brainstorming sessions, situational analysis, and real-time observation during work. Data analysis was carried out using content analysis and mean. Results: The results revealed challenges as the followings. Physicians lacked awareness due to the effectiveness of current treatments and difficulties in accessing information on asthmagens, coupled with limited time for searching. Although the OAKKU web application was developed and implemented, language barriers and complex search functions posed usability issues. To address these challenges, user guides were developed, and the OAKKU web application was translated into Thai, while search functionalities were simplified. Experimental results demonstrated high effectiveness, as evidenced by a usability test score of 4.88 out of 5 for ease of understanding and satisfaction. Additionally, the OAKKU web application significantly reduced search time. Conclusion: The OAKKU web application user guide, developed through PAR, significantly enhanced the OAKKU web application. These included improvements to incorporate Thai language supports and simplifies the search process, resulting in more effective searches. [ABSTRACT FROM AUTHOR]

Empathy is an integral aspect of human existence. Without at least a basic ability to access others' affective life, social interactions would be well-nigh impossible. Yet, recent studies seem to show that the means we have acquired to access others' emotional life no longer function well in what has become our everyday business – technologically mediated interactions in digital spaces. If this is correct, there are two important questions: (1) What makes empathy for frequent internet users so difficult? and (2) What can we do to alleviate the negative consequences? Correspondingly, the aim of this paper is twofold. First, we identify structural differences between offline and technologically mediated interactions that can explain why digital empathy is harder to achieve. Second, drawing on the literature on 'situated affectivity,' we consider the idea of modifying digital spaces in ways specifically designed to 'scaffold' empathy where our evolved mechanisms fail. Section 2 argues that empathy is requires interpreting the behavior of embodied subjects. Section 3 identifies three factors that are crucial for this interpretative endeavor: the empathizer's affective repertoire, their perceptual input, and their background knowledge. Section 4 argues that technologically mediated interactions differ from face-to-face interactions with regard to these factors in ways which render our evolved empathy mechanisms less effective in the digital world. Section 5 introduces the idea that situational factors can serve as 'empathic scaffolds,' i.e., as 'tools' that can 'shape' people's empathic reactions. Section 6 wraps up the main line of reasoning, responds to objections and invites further scholarship. [ABSTRACT FROM AUTHOR]

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THIS ARTICLE USES WORDS OR LANGUAGE THAT IS CONSIDERED PROFANE, VULGAR, OR OFFENSIVE BY SOME READERS. Hate speech detection in online social networks is a multidimensional problem, dependent on language and cultural factors. Most supervised learning resources for this task, such as labeled datasets and Natural Language Processing (NLP) tools, have been specifically tailored for English. However, a large portion of web users around the world speak different languages, creating an important need for efficient multilingual hate speech detection approaches. In particular, such approaches should be able to leverage the limited cross-lingual resources currently existing in their learning process. The cross-lingual transfer in this task has been difficult to achieve successfully. Therefore, we propose a simple yet effective method to approach this problem. To our knowledge, ours is the first attempt to create a multilingual embedding model specific to this problem. We validate the effectiveness of our approach by performing an extensive comparative evaluation against several well-known general-purpose language models that, unlike ours, have been trained on massive amounts of data. We focus on a zero-shot cross-lingual evaluation scenario in which we classify hate speech in one language without having access to any labeled data. Despite its simplicity, our embeddings outperform more complex models for most experimental settings we tested. In addition, we provide further evidence of the effectiveness of our approach through an ad hoc qualitative exploratory analysis, which captures how hate speech is displayed in different languages. This analysis allows us to find new cross-lingual relations between words in the hate-speech domain. Overall, our findings indicate common patterns in how hate speech is expressed across languages and that our proposed model can capture such relationships significantly. [ABSTRACT FROM AUTHOR]