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Classifying user browsing behavior is an essential task to put suitable information on the web. Also, the browsing behavior is stored in the web server logs, which are used for identifying and classifying commonly assessed patterns of web users. This work designs a Butterfly-based Recurrent Neural Scheme (BbRNS) for accurate classification of the web user browsing behavior based on the URLs. It involves preprocessing, feature extraction, and classification. Generally, preprocessing removes the error, and feature extraction is employed to extract the web user browsing URLs. Then, updating the fitness function in the classification layer for accurate prediction of the browsing behavior of web users also enhances the performance of user behavior detection. Consequently, the developed framework is implemented using a Python tool, and the parameters of the current research work are evaluated with prevailing assignments. The designed model gained 98.8 accuracies, 97.5% recall, and 98% precision for predicting and classifying web user behavior. The experimental result shows improved accuracy for classifying web user browsing behavior with less error rate. [ABSTRACT FROM AUTHOR]

Purpose: The article thoroughly examines the factors impacting internet users' information privacy concerns and proposes a theoretical framework for directing future research. The systematic literature review combined major privacy models to understand the comprehensive picture of users' behavioural intentions. Design/Methodology/Approach: By systematically assessing the work of the GIPC, CFIP, and IUIPC models used to date, which were the available contributions on privacy concerns to date, a comprehensive model has been developed for further testing. Findings: The study indicates that 16 key articles help in understanding privacy concerns. The combination of the GIPC, CFIP, and IUIPC models creates a comprehensive framework for evaluating privacy behaviours. This model not only highlights essential aspects but also assesses their relationship providing more insight into privacy-related behaviours. Research Limitations: The model should be validated only using primary data analysis, and the outcomes are contextual. Research Implications: This analysis provides an adequate basis for future studies on privacy concerns, as well as guidance to internet service providers on how to build successful privacy policies. Additionally, it helps internet users make educated decisions about their online behaviour. Originality/Value: This article combined previously tested models in different domains, providing a comprehensive overview of the factors using privacy concerns. It is the first to incorporate different privacy models, providing an adequate basis for future study. [ABSTRACT FROM AUTHOR]

A web service is a network accessible interface to functionality of application, which is developed using some standard internet technologies. The client or users of web services don't need to know how the web service is implemented. The number of web services available on the internet and within businesses is growing, which poses new challenges for looking for and locating necessary web services in library. There are many different approaches available for discovery of web services in library. Few of them are based on syntax whereas further approaches are semantic based. Research work highlights of the earlier work on discovery of the published web services. Additionally it defines the approaches and the new techniques available for Web Service Discovery. Also, this research will promote awareness among developers about the publishing free web services in library. [ABSTRACT FROM AUTHOR]

This study investigates the components that affect online consumer engagement for Amazon, one of the best ecommerce sites worldwide. It's important to comprehend how Amazon interacts with its consumers given the expanding popularity of online purchasing. According to latest figures India has a 47% penetration rate with 627 million internet users. Amongst all Indian internet users with 20 million active users, Amazon accounts for around 3.2%. The dimension of this study is to focus on efficiency, and determining aspects of online consumer involvement for Amazon. Data were gathered via a survey from 400 individuals using a convenience sample approach. For the purpose to solidify the literature review and create a theoretical framework, the study used factor analysis and bibliometric modeling. The data were examined using SPSS yielding thorough insights. In the international market, online consumer involvement was first offered in 1999, and by 2001, researchers had started to quantify its importance. This facet of online customer engagement was available in India in 2019-2020 (COVID-19); the research measures, develop and understand the theoretical framework for Online Customer Engagement and study the factors influencing Customers of Amazon for Online Customer Engagement. [ABSTRACT FROM AUTHOR]

Internet is being actively used world over. Covid 19 pandemic have brought a steep rise in internet use by users of all age groups. In India specifically, there are total 692 million active internet users that includes 351 million users from rural India and 341 from urban India. Without a doubt, the advantages of internet use are numerous. It is but obvious that with such a high rate of internet use, online world also opens up platforms for ever increasing cybercrimes in country. Increased online time, lack of awareness among internet users are popular reasons for the increased cybercrime trends. Moreover, lack of technical knowledge among professionals adds to the complications in solving cybercrime cases. Hackers, on the other hand, are coming up with new and innovative modus operandi to scam more and more people. This paper analyses the cybercrime related news content of leading news websites in India. The research is conducted to investigate cybercrime news reporting, identify the increase in cybercrimes and to understand the types of cybercrimes taking place in the country. It attempts to understand the most popular strategies being adopted by online attackers for luring online users. This paper attempts to create necessary mindfulness while using the internet. It is analyzed that cybercrime awareness campaigns of government are unable to make an impact at a larger level. [ABSTRACT FROM AUTHOR]

Background: Digital health, aiming to boost healthcare accessibility, is an emerging concept in the domain of healthcare administration and delivery in developing countries. In India, according to the National Family Health Survey (NFHS-5), more than half (55%) of the men have reported ever using the internet, while only one-third (33%) of the women have done so. This gendered digital divide is further complicated and worsened by the fact that individuals in the lowest wealth quintile exhibit significantly lower internet usage rates, with only 9% of women and 26% of men. Such intersectionality of the gendered digital divide might prove a barrier to realizing the full potential of digital health in India. Eliminating digital inequalities in all forms and ensuring universal digitalization is essential for desired digital health outcomes. Methods: This study aims to explore India's readiness for digital health in terms of access to basic digital infrastructure, i.e., the internet. We analyze access to the Internet among Indian women of reproductive age using pan-India survey data from the fifth round of the National Family Health Survey (2019–21). We investigate predictors of Internet use in a regression model and apply the Erreygers Concentration Index (ECI) to examine inequalities in Internet access. Using decomposition analyses, we analyze factors contributing to digital inequality in terms of internet use. Results: Our inequality analysis based on the ECI [ECI- 0.4444 (p < 0.001)] suggests that a significant inequality exists in internet access. Furthermore, the decomposition analyses in the study find women's educational level to be the most prominent (28.19%) contributing factor to internet inequality, followed by wealth (25.67%), place of residence (23.16%), and caste (1.10%). Recommendation: We suggest a comprehensive readiness and need assessment, revamping of digital infrastructure, and moving with caution in implementing digital health innovation in the country as it may further exacerbate the existing healthcare access inequities. [ABSTRACT FROM AUTHOR]

The article examines the rhetoric behind internet censorship and data protection, particularly in relation to children's online safety. Topics include the rise in children's internet use and its impact on mental health, the legislative developments regarding children's internet privacy, and the potential manipulation of child protection concerns to advance political agendas.

This paper researched on the query method of web education resources based on semantic topic similarity. This paper proposes a hierarchical model of web Education. This model is a two-tier filtering model based on mobile agent. The model first classifies and filters according to semantic similarity, and then filters web education resources according to Q-learning filtering algorithm in machine learning. This paper presents a kind of rank algorithm for web educational resources. According to Euclid ambiguity and RSS aggregation technology, this algorithm finds the web education resources that users need. First of all, RSS document aggregation technology is used to quickly gather the music education resources that users need. Secondly, the query is characterized by Euclid fuzziness in fuzzy sets. The fuzziness of the association between content and resources. Finally, we get the personalized resources to satisfy the end users of web education resources. [ABSTRACT FROM AUTHOR]

In today's highly competitive business environment, effective digital marketing is essential for businesses to build brand presence and attract and retain customers. In Indonesia, internet users are increasing from year to year because they can access anything and easily explore the things they want to know. This research aims to analyze the digital marketing and social media content of Starbucks Indonesia. This research approach is a qualitative approach. In this research, the case study that will be used is Multiple Case Study. This research approach is a qualitative approach. In this research, the case study that will be used is Multiple Case Study. [ABSTRACT FROM AUTHOR]

This study examines how Chinese netizens view Russia and how contested memories shape perceptions. It identifies and categorizes four different perceptions of Russia, held by pro-Russian groups, pro-Soviet groups, anti-Russian nationalists, and liberals on China's social media, who have divergent interpretations of the past. This study contributes a distinct case to the literature on Chinese collective memory and facilitates an understanding of Sino-Russian relations at the social level. Theoretically, it enriches the interdisciplinary dialogue between memory studies and International Relations by highlighting the complexity of historical narratives and the instability between the past and the present. It finds that when a collective memory involves multiple significant but symbolically and ideologically competing historical events, it can become a divisive force that creates confusion in the self-other relationship and motivates different social groups to resist and revise official narratives. [ABSTRACT FROM AUTHOR]

Introduction: School burnout remains a prevalent problem among adolescents; it is associated with low academic achievement and school dropout risk, in turn linked to a whole host of deleterious developmental outcomes. The current longitudinal study sought to better understand the developmental course of school burnout by testing whether poor sleep and problematic internet use each uniquely and additively explained the variance in school burnout over time. Method: Data were collected four times over 18 months, 6 months apart from N = 405 adolescents, grades 9 to 11. Results: Sleep quality, but not quantity, was significantly associated with the school burnout intercept (β = −0.29); no effects were found for the slope. Problematic internet use was also significantly associated with the intercept (β =.44), but not the slope. In a combined model, both sleep quality and problematic internet use significantly predicted the school burnout intercept. The slope was only predicted by age (β = −0.21). Conclusions: The study found partial support for the hypotheses that both poor sleep quality and problematic internet use predicted school burnout, intercept only, not the rate of change. The evidence suggests that school burnout increased across high school; however, the rate of increase slowed with age. In contrast to some previous work, study findings highlight the importance of separately considering both poor sleep and problematic internet use in understanding the development of school burnout during adolescence. N = 229 [ABSTRACT FROM AUTHOR]

Introduction: Left‐behind adolescents are vulnerable to depressive symptoms under the context of parent‐adolescent separation. However, limited knowledge is available regarding left‐behind adolescents' depression trajectory and the protective resources against it. The aim of this longitudinal study was to investigate the depression trajectory and its association with parent‐adolescent separation (left‐behind status, age of separation and duration of separation) and parent‐adolescent cohesion (father‐adolescent cohesion, mother‐adolescent cohesion) among left‐behind adolescents. Methods: The participants were 1,107 left‐behind adolescents (Mage = 13.23 ± 0.86 years at T1; 45.17% girls; 38.48% both‐parent migrant adolescents, 61.52% father‐only migrant adolescents) from two rural areas of Shandong Province in China, who were participated in assessment at three time points with 6 months apart from November 2014 to November 2015. Results: The results indicated that the trajectory of left‐behind adolescents' depression symptoms showed a decreasing trend. Both‐parent migrant adolescents reported a higher initial level of depressive symptoms than father‐only migrant adolescents. Duration of separation positively predicted the initial level of left‐behind adolescents' depressive symptoms. Mother‐adolescent cohesion negatively predicted the initial level and positively predicted the change rate of left‐behind adolescents' depressive symptoms. Moreover, mother‐adolescent and father‐adolescent cohesion buffered the negative effect of parent‐adolescent separation on the initial level of left‐behind adolescents' depressive symptoms. Conclusions: These findings highlight the protective role of parent‐adolescent cohesion for left‐behind adolescents, having important implications for interventions targeted toward mitigating the detrimental influence of parent‐adolescent separation on left‐behind adolescents' depression trajectory. [ABSTRACT FROM AUTHOR]

The proposals of think tanks nowadays carry weight in political actions worldwide. The communicative actions of these centers are crucial in the relationship with their diverse audiences for their initiatives to have a notable influence. Through a quantitative content analysis, the present study gathers communicative tools and measures the degree of interactivity promoted by these online research centers through their official websites, the medium that has the greatest impact on their visibility and influence. The research focuses on the 25 most influential think tanks in Central and South America, according to the 2020 Global Go To Think Tank Index. The results show that the level of interactivity offered by the unidirectional tools of these think tanks is considerably high. However, in the case of bidirectional resources, which provide a greater opportunity for interaction and dialogue with the web user, greater use is made of those of an asymmetrical nature. The level of interactivity achieved is still insufficient, as not all the opportunities offered by the digital space are leveraged. [ABSTRACT FROM AUTHOR]

Cyber-violence is an entrenched phenomenon in the context of information society services, as the operational and business model of online platforms can pose severe harms and threats to online users. The Digital Services Act has come into force as of 19 October 2022, with the purpose of facing the risks and challenges for individual recipients of information society services. While ambitious in its aim to create the conditions for a 'safe, predictable, and trustworthy online environment', the Digital Services Act introduced several – yet still difficult to outline – due diligence obligations on very large online platforms ('VLOPs'). The purpose of this article is to investigate said new due diligence obligations of the Digital Services Act Regulation, in the attempt to assess whether or not these might benefit the users most affected and/or exposed to cyber-violence within a long-term policy strategy. [ABSTRACT FROM AUTHOR]

In an increasingly digital world, refugees heavily rely on modern communication technologies to navigate many aspects of their lives. In this article, we specifically explore how resettled refugees in New Zealand use social media in their everyday lives. We present the findings drawn from a national survey (n = 592) in six languages, exposing the benefits and limits of social media use among this cohort of people. Using a multivariate model, we show how refugees' social and political activities enable civic participation and a sense of belonging. Our study also charts the barriers constraining their everyday social media use, including financial cost, security concerns, and low technical and digital literacy levels. By centring the impacts of sociodemographics and sociotechnological factors, we interrogate the meanings and outcomes of digital exclusion, which is crucial for informing digital citizenship and settlement policy among resettled refugees. [ABSTRACT FROM AUTHOR]

The internet has become an integral part of daily life, impacting various aspects, especially among children and adolescents. Internet overuse has been associated with numerous physical and mental health issues. Despite its significant implications, there is no universally accepted assessment tool for internet addiction. This study focuses on validating the Georgian version of the Internet Addiction Test (IAT) among pediatric patients aged 9 to 17, specifically the Internet Addiction Test - Adolescence (IAT – A). The study, conducted in 2022–2023, involved pediatric patients from Givi Zhvania Pediatric Academic Clinic, generally healthy but with parental concerns about screen time. The IAT-A, a self-administered questionnaire, was adapted for cultural relevance. Translation-back-translation was employed for linguistic validation. Data was collected twice, with a 6-month interval. Statistical analyses included the Kappa coefficient, Kendall's tau test, paired t -test, and Bland-Altman plots. The translation process ensured linguistic accuracy and cultural relevance. The study included 100 participants (59 % boys, 41 % girls) with a mean age of 12 years. The mean IAT - A score remained consistently high over both testing periods. Kendall's tau correlation coefficient indicated a strong correlation (0.97), and Bland-Altman plots confirmed repeatability. The cut-off of 40 points identified 84 % as problematic internet users. Individual question analysis showed strong correlation and agreement. The Georgian version of the IAT - A demonstrated reliability and consistency in assessing internet addiction among pediatric patients. The prevalence of problematic internet use among children referred to a university hospital because parents were worried about their internet use was indeed high. The study contributes valuable insights into internet addiction research in Georgia and underscores the importance of a standardized assessment tool. The repeatability of the scores of each question was strong among both groups of problematic internet users and non-problematic internet users, confirming that the Georgian version of IAT – A has high level of accuracy and can be used in internet addiction research. • Internet addiction is a growing concern globally, especially among adolescents, leading to various physical and mental health issues. • The Internet Addiction Test–Adolescence (IAT-A) is a reliable tool for assessing internet addiction among young populations. • This study validates the Georgian version of the IAT-A, confirming its accuracy and usability among Georgian pediatric populations. • The repeatability of the scores of each question was strong among both groups of problematic internet users and non-problematic internet users, confirming that the Georgian version of IAT-A has a high level of accuracy and can be used in internet addiction research. • Future research should explore different cut-off thresholds and consider shorter versions of the IAT-A for more efficient assessment. [ABSTRACT FROM AUTHOR]

Copyright of Revista Española de Sociología is the property of Federacion Espanola de Sociologia 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.)

Copyright of Journal of Computer Sciences Institute is the property of Lublin University of Technology 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.)

Collective attacks related to controversial issues are pervasive in online communication. However, public opinion is often reversed later when earlier reports are revealed to be misinformation, which may lead to remedies offered to the victim by netizens. We call such phenomena online public opinion reversal (POR) events, which reflect group polarization from attack to remedy. This paper explores the pragmatic strategies that netizens employ to launch attacks and offer remedies in such events, examining a dataset including 300 netizen-generated attacking comments and 300 remedial comments collected on Weibo. The study identified two main categories of online attack strategies and seven types of remedial strategies. Chinese netizens prefer to employ on-record strategies when launching attacks. When an earlier report is revealed to be fake, they employ apology as the most frequent remedial strategy. Preferences for different attacking and remedial strategies and potential influencing factors are also discussed. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Agriculture & Nature / Kahramanmaraş Sütçü İmam Üniversitesi Tarım & Doğa Dergisi is the property of Kahramanmaras Sutcu Imam Universitesi 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.)

Purpose: Despite the intense social media (SoMe) campaigns promoting organ donation, the direct impact on registration and transplantation rates remains unclear among Sunni Muslims who constitute a significant portion of Muslim population. Given the observed tendency to avoid engaging with SoMe content focused on organ donation promotion, this study aims to comprehend the reasons for reluctance among Sunni Muslims. Design/methodology/approach: A qualitative approach comprising focus group and individual interviews was conducted among community manager of SoMe campaigns interested in promoting organ donation, Sunni Muslims subscribed on those SoMe platforms and certain members of the medical staff involved in transplant operations. Findings: The results indicate that reluctance toward SoMe campaigns about organ donation is justified because of the creation of irrelevant content that does not align with the sociocultural characteristics of the majority Sunni Muslims who are the intended audience. Additional discussions are required concerning religious beliefs, the culture of altruism and the credibility of SoMe appeals. Practical implications: This research could serve as a foundation upon which social organizations and associations, focused on public health promotion through SoMe, can build specific content designs tailored for Sunni Muslims. Originality/value: The distinctive aspect of this research is founded upon the diverse perspectives of various stakeholders, which have the potential to impact the registration of Muslim users on SoMe as organ donors. [ABSTRACT FROM AUTHOR]

Around the world, governments are contemplating taking steps to reverse or mitigate the negative health and developmental effects that come from the increasing amount of time children are spending online and using screens. In 2023, the People's Republic of China (PRC) released a draft regulation restricting minors' screen time and internet use, which imposes a significant burden not only on children, but also on technology and internet companies that wish to continue operating in the country. However, the PRC's proposed minor mode regulation is neither an extreme departure from the types of restrictions neighboring countries in East Asia have imposed on children's screen time and internet use, nor its own previous regulations in this area. As such, the proposed regulation is unlikely to have violated a norm of customary international law against restricting children's internet use. Similarly, although international instruments like the Universal Declaration of Human Rights and the International Covenant on Civil and Political Rights guarantee a universal right of expression, which arguably includes an implied right to the internet, the proposed Chinese regulation is not likely to be deemed violative of either of these instruments because of ambiguities within them as to how states are meant to weigh children's rights against their protection. This conclusion is bolstered by the competing provisions of the Convention on the Rights of the Child about protecting children's fundamental rights while also ensuring their health and wellbeing. As such, the PRC's Draft Minor Mode Guidelines are likely to pass without facing significant legal challenges domestically or internationally. [ABSTRACT FROM AUTHOR]

The purpose of the study was to investigate the influence of the internet use on university students moral behavior in South West Region Cameroon. The researcher used mixed research method design involving both qualitative and quantitative methods. The sample size used was 100 students from HTTTC Kumba all departments from levels 200 and 300. Four lecturers were also interviewed. From the findings, majority of the respondents indicated that some of their private information has been disclosed without their permission; they have been involved in plagiarism, betting, cyber bullying, illegal downloading and many other vices. These issues can be handled through guidance and counselling sessions for students. Also, each department should use plagiarism detection software and each lecturer is expected to be trained in using the software in order to combat plagiarism. [ABSTRACT FROM AUTHOR]

In this study, we investigate how website visual design affects users' experience, then their subsequent attitudinal and behavioural outcomes towards the website. We investigate the roles of usability and pleasure, two important constructs of user experience, and propose a three-path sequential mediation model. We test the model with experiments in which we assign web users with varied levels of website visual design in two studies, one with a fictional website and the other with comparable webpages from real e-commerce websites. In both experiments, we find a consistent positive effect of website visual design on website evaluation variables through a sequential mediation of usability and pleasure. An alternative reversed mediation model in which pleasure precedes usability is also tested but found to be unsupported. [ABSTRACT FROM AUTHOR]

Ad blockers allow users to browse websites without viewing ads. Online news publishers that rely on advertising income tend to perceive users' adoption of ad blockers purely as a threat to revenue. Yet, this perception ignores the possibility that avoiding ads—which users presumably dislike—may affect users' online news consumption behavior in positive ways. Using 3.1 million visits from 79,856 registered users on a news website, this research finds that ad blocker adoption has robust positive effects on the quantity and variety of articles users consume. Specifically, ad blocker adoption increases the number of articles that users read by 21.0%–43.2%, and it increases the number of content categories that users consume by 13.4%–29.1%. These effects are stronger for less-experienced users of the website. The increase in news consumption stems from increases in repeat visits to the news website, rather than in the number of page impressions per visit. These postadoption visits tend to start from direct navigation to the news website, rather than from referral sources. The authors discuss how news publishers could benefit from these findings, including exploring revenue models that consider users' desire to avoid ads. [ABSTRACT FROM AUTHOR]

The study of agenda-setting has faced considerable challenges in the digital age. Not only are the existing conceptualizations inadequate regarding the new features of online media outlets, but traditional analysis has also become insufficient to address the nuances of agenda-setting in the dynamic online media environment. In this study, we refined assumptions of reverse and intermedia agenda-setting theory, introduced the news events and hourly intervals approach, and considered economic news events in China as an appropriate theme. Our analysis showed that the few popular media played a gatekeeping role in the Chinese online media environment, and the average time interval in which agendas transferred across media and netizens was about 4 h. This study, thereby, advanced the understanding of agenda-setting dynamics in the digital society and showed directions for future agenda-setting research in terms of establishing more up-to-date conceptual assumptions and employing more nuanced methodological approaches. [ABSTRACT FROM AUTHOR]

How do people in the world's largest democracy consume news online? In this paper, I aim to answer this question by conducting a quantitative assessment of the online news consumption behavior of a large sample of Indian internet users (N≈50,000) over a period of 45 months. In doing so, I contribute to theoretical debates about global news media use, by systematically appraising the prominence and trends in audience share of different types of news sources, thereby shedding light on the digital news consumption landscape of a crucial, but understudied context. Theoretically, I engage with the displacement-complementarity hypothesis and find no evidence that digital-born media have contested the hegemony of legacy media in India online. Next, I investigate the regional-national media divide and find that regional, vernacular media have suffered significant declines in their audience shares over time. This begs the question whether the notion of 'polycentrism' – the idea that the Indian media environment is comprised of national and regional media of equivalent weight – is at all applicable online as it is offline. These findings also run counter to claims of 'internet vernacularization' that have been touted in the past. Finally, I propose the concept of audience mobility, and use it to identify qualitatively distinct dynamics in how vernacular audiences in India have migrated to national vis-à-vis international outlets. The findings and their implications are discussed in light of contemporary changes in Indian society that is characterized by rapid digitization and increasing literacy. [ABSTRACT FROM AUTHOR]

With the emergence and development of new businesses such as video and language, people's requirements for the internet are constantly increasing. This article mainly uses the intelligent path selection method to design a real-time measurement system for network quality. On this basis, this article uses instructions to send messages to the target host, then waits for the receiver's response message, and parses the message to obtain performance indicators such as latency. This article uses intelligent path selection to query and analyze network devices, and cooperates with network devices to actively group and send data to the network. It can measure the inflow and outflow of device interfaces. The packet loss rates of path 1 during T1 and T2 are 0.066% and 0.044%, while the packet loss rates of path 2 are 0.41% and 0.11%, respectively. From the data conclusion, it can be seen that intelligent path selection can effectively improve network quality and provide users with a better internet experience. [ABSTRACT FROM AUTHOR]

Charts remain widely inaccessible on the web for users of assistive technologies like screen readers. This is, in part, due to data visualization experts still lacking the experience, knowledge, and time to consistently implement accessible charts. As a result, screen reader users are prevented from accessing information and are forced to resort to tabular alternatives (if available), limiting the insights that they can gather. We worked with both groups to develop AutoVizuA11y, a tool that automates the addition of accessible features to web‐based charts. It generates human‐like descriptions of the data using a large language model, calculates statistical insights from the data, and provides keyboard navigation between multiple charts and underlying elements. Fifteen screen reader users interacted with charts made accessible with AutoVizuA11y in a usability test, thirteen of which praised the tool for its intuitive design, short learning curve, and rich information. On average, they took 66 seconds to complete each of the eight analytical tasks presented and achieved a success rate of 89%. Through a SUS questionnaire, the participants gave AutoVizuA11y an "Excellent" score — 83.5/100 points. We also gathered feedback from two data visualization experts who used the tool. They praised the tool availability, ease of use and functionalities, and provided feedback to add AutoVizuA11y support for other technologies in the future. [ABSTRACT FROM AUTHOR]

By mid-2023, the international GEOTRACES program had released three intermediate data products (IDP2014, IDP2017, and IDP2021), and in July 2023, an update of the latest product, IDP2021v2, was issued. All IDPs consist of two parts: (1) a compilation of digital data for large numbers of trace elements and isotopes (TEIs), and (2) the eGEOTRACES Electronic Atlas containing almost 1,500 pre-created section plots and 269 animated three-dimensional scenes that can be browsed via an interactive web interface. GEOTRACES IDPs are used extensively and have proven to be rich resources for research, education, and outreach. Here, we demonstrate how these resources can be used efficiently and effectively via online services. Data browsing, analysis, and visualization occur in the user's web browser, with the IDP data remaining on a dedicated server. Users simply visit specific resource URLs to access eGEOTRACES visuals and the GEOTRACES digital data directly. We first demonstrate how to navigate the eGEOTRACES Electronic Atlas to view TEI sections and three-dimensional animations. We then focus on two research use cases and provide detailed hands-on instructions for creating publication-ready figures related to the marine Zn cycle. [ABSTRACT FROM AUTHOR]

Nowadays, with the continuous increase in internet traffic, the demand for real-time and high-speed traffic analysis has grown significantly. However, existing traffic analysis technologies are either limited by specific applications or data, unable to expand for widespread implementation, or in offline mode are unable to keep up with dynamic adjustments required in certain network management scenarios. A promising approach is to utilize sketch technology to enhance real-time traffic analysis. Unfortunately, existing technologies suffer from defects, such as overly coarse-grained statistics that cannot perform precise application-level traffic analysis, and irreversibility, which cannot support real-time queries in a friendly way. To achieve real-time fine-grained application traffic analysis in general scenarios, we propose AppSketch, a real-time network traffic measurement tool. AppSketch adopts a one-pass approach to classify and label the application information of each packet in the network flows. It then hashes the flow, identified with the application tag, into a carefully designed multiple-key sketch, for gathering application-specific statistics. We conducted extensive experiments using a real-world network traffic dataset collected on a university campus. The results showed that AppSketch achieved high accuracy while requiring less update time than other alternatives. Moreover, AppSketch occupies limited memory (⁠|$ {\leq }$| 64KB), making it suitable for online network devices. [ABSTRACT FROM AUTHOR]

Copyright of Gumushane Universty Electronic Journal of the Faculty of Communication / Gümüshane Üniversitesi Iletisim Fakültesi Elektronik Dergisi is the property of Gumushane Universitesi Iletisim Fakultesi Elektronik Dergisi (e-GIFDER) 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 paper studies whether digital financial development encourages rural-urban migrants to settle down for a longer period of time. Using data from the China Migrants Dynamic Survey (CMDS) for periods 2014–2018, our results support an overall facilitating effect in the decision to stay for the long-term from a digital finance perspective. The effect of digital finance is more pronounced for migrants who are internet users, above high-school education, younger than 35 years old, with urban hukou, or intra-provincial migrants. Moreover, the availability of the formal finance supports long-term settlement for migrants who are older than 35, inter-provincial migrants, or self-employed. [ABSTRACT FROM AUTHOR]

This article examines the Islamophobia controversy over the Nussa dan Rarra cartoon film (NRCF) on Twitter (X). This controversy was initially triggered by two influencers that became a trending topic. The study employed a qualitative method with a moral panic theory approach. The primary data was tweets on Twitter containing comments on the NRCF. Data analysis was done through five stages of the moral panic process. The trigger tweet's main issue in the NRCF was the figure behind the scenes, Felix Siauw, with his Hizb ut-Tahrir Indonesia (HTI). The pro and contra responses went back and forth to debate the themes of NRCF's negative labels, such as costume, manner, Taliban, and radicalism, as a threat to society. This study found that the effort to evoke Islamophobia has not succeeded in causing panic because the majority of society and authorities do not support it, making the film still survive to this day. [ABSTRACT FROM AUTHOR]

Short videos are gaining popularity among Chinese netizens who use them to socialize and express themselves online, particularly during disasters. This study examines the characteristics of an emotional atmosphere through short video comments. We developed the Multimodal Social Short Video Crawler V1.0 to analyze 157,747 comments from 343 short videos about the "Zhengzhou flood." First, we categorized comments into clusters and calculated cluster density using complex network analysis methods. Second, we employed computer-mediated content analysis to derive sentiment values in clusters. To capture the emotional atmosphere in short videos accurately, we developed a trust model to assign weights to both cluster density and sentiment value. Our findings reveal that the emotional atmosphere in short video comments indicates continuity and clustering traits. Furthermore, a correlation was found between cluster size and emotional valence, with the relationship trend varying between macro- and micro-clusters. Regarding theoretical contributions, this study enriches the theory of emotional atmosphere by proposing a mathematical model of emotional atmosphere that combines machine learning and complex network analysis, and introduces cluster density and emotional value calculation methods. Concurrently, this study highlights emotion's importance in short video comments, which can enhance disaster response efforts in the future. [ABSTRACT FROM AUTHOR]

High levels of threat and uncertainty characterize the onset of societal crises. Here, people are exposed to conflicting information in the media, including disinformation. Because individuals often base their news selection on pre-existing attitudes, the present study aims to examine selective exposure effects in the face of a crisis, and identify right-wing ideological, trust-, and science-related beliefs that might influence the selection and sharing of disinformation. A representative survey of German internet users (N = 1101) at the time of the COVID-19 pandemic outbreak showed a confirmation bias in crisis-related news selection and sharing. It revealed right-wing authoritarianism and political mistrust as significant predictors of disinformation selection. The influence of social dominance orientation, mistrust in politics, and perceived certainty of knowledge were significant for sharing disinformation. The present results extend previous knowledge about people's (dis)information behavior in times of crisis, and shed light on groups particularly vulnerable to disinformation. [ABSTRACT FROM AUTHOR]

Internet users often surf multiple websites as a bundle to fulfill their needs and 'pay' for the content by viewing ads. We study how such complementary websites choose advertising policies. Two forces distort the equilibrium away from the industry optimum and the efficient outcome. First, websites place too many ads (double marginalization). Second, given the total advertising volume at equilibrium, websites misallocate ads among themselves (misplacement). Competition in one market segment may eliminate double marginalization but exacerbate misplacement. Introducing micropayments removes misplacement, but the welfare consequences are ambiguous. Policymakers must thus be cautious when applying standard remedies to zero‐price markets. [ABSTRACT FROM AUTHOR]

This study uses a constructivist paradigm and a qualitative approach to analyze six elements of Hofstede's Cultural Dimensions Theory. Data analysis was taken from four viral tweets collected with the keyword Karen's Diner on Twitter from December 15 to 22, 2022. The study results show that six elements of the Cultural Dimensions Theory are inherent in Indonesian consumers, so they oppose the concept of service presented by Karen's Diner. The element of power distance applies where most Indonesian people have been instilled with the idea that "the buyer is the king", so they do not tolerate the slightest bad action done by the seller. Uncertainty avoidance applies when the Indonesian people protest and urge Karen's Diner Indonesia to make clear written regulations and improve the restaurant's service procedures. The element of masculinity or femininity is represented by netizens who think the restaurant's existence will disappear quickly amid competition in the dynamic Indonesian F&B industry. The Long Term vs Short Term Orientation element applies where the public considers the concept of Karen's Diner Indonesia service intolerable and raises concerns about behavioral deviations in the future. The Indulgence vs Restraint element is represented by people who oppose things that can potentially offend Eastern norms, one of which is product marketing. [ABSTRACT FROM AUTHOR]

We study the effects of broadband internet use on the investment decisions of individual investors. A public program in Norway provides plausibly exogenous variation in internet use. Our instrumental variables estimates show that internet use causes a substantial increase in stock market participation, driven primarily by increased fund ownership. Existing investors tilt their portfolios toward funds, thereby obtaining more diversified portfolios and higher Sharpe ratios, and do not increase their trading activity in stocks. Overall, access to high‐speed internet spurs a "democratization of finance," with individuals making investment decisions that are more in line with the advice from portfolio theory. [ABSTRACT FROM AUTHOR]

This article aims to analyse the representation and retrieval of musical scores submitted by netizens or institutions, repositories and digital libraries across various digital environments such as score storage sites. It considers the characteristics of these interfaces and observes how the scores are thematically represented. The method employed in this study was exploratory research to search and retrieve scores, and descriptive research to analyse the thematic representation within these environments. The results reveal that these sites are organized by category, which helps netizens in their search for musical scores. The analysed sites differ in comprehensiveness and organization but have similar features with regard to indexing. Consequently, the study argues for investment in their structure, organization, languages and systems, and professional training. [ABSTRACT FROM AUTHOR]

Copyright of SDU Journal of Engineering Sciences & Design / Mühendislik Bilimleri ve Tasarım Dergisi is the property of Journal of Engineering Sciences & Design 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: Unwarranted internet use can lead to a multiplicity of issues in personal, social, and professional spheres. This phenomenon is known as internet addiction. Between 1989 and 2020, the number of internet users increased from 500 000 to 4.83 billion, suggesting a rising trend in the figure of persons who are digitally savvy. India had more than 718 million subscribers as of June 2020, second only to China, according to TRAI. The ground of this study is to scrutinize the magnitude of addiction, its impact, and related factors in universities located in the districts of Chhattisgarh's judicial capital, Bilaspur, and state capital, Raipur. Methods: The "Personal Information Form" was used to gather data, which also contained synopses of internet usage, Young's "Internet Addiction Test (IAT)," and a questionnaire the researcher created called the "Impact Scale of Internet Addiction." Results: Out of 937 professionals from different socio-economic backgrounds, 495 (52.82%) were male and 442 (47.18%) were females. The subject's mean age was 21.34 (SD 2.34). The study's findings indicate that the mean IAT score for IA among users was 67.15. Out of the total, 222 (23.69%) respondents were found to be severely addicted, 587 (62.64%) to be possible addicts, and 122 (13.02%) to be mildly addicted, respectively. Only six (0.64%) out of 937 people were considered to be completely safe or addiction-free. Comparing males' and females' outcomes in terms of social media usage, academic performance, tendencies, and purpose has proven to be highly significant. Conclusion: Discuss the probability of addiction, protective factors, and preventive techniques based on these facts. [ABSTRACT FROM AUTHOR]

Purpose: During COVID-19 restrictions, people spent more time in cyberspace and consuming health-related information. An increase was also observed in mediated caring messages or health-relevant information sent to one another. This study aims to explore how the information and interactions around COVID-19 can provide a good learning opportunity for public health, specifically related to eHealth literacy and eHealth promotion. Design/methodology/approach: While mainstream literature has concentrated on experimental designs and a priming effect, this study inspects psychological distance related to a health threat under real-life circumstances. The article adopted a survey approach and utilized PLS-SEM techniques to examine the proposed hypotheses. Findings: Results indicated that whereas closer social support correlates with closer psychological distance and less usage of the social media approach, more substantial COVID-19 impacts were associated with closer psychological distance but greater use of social media. Since both closer psychological distance and social media approach contribute to eHealth literacy, social support from closer and virtual social networks should be embraced but utilized through different routes and for different purposes. The timing of messages but not psychological distance affects people's social media approach, indicating that morning messages should be employed. Moreover, eHealth literacy mediates timing preferences and leads to a preference for eHealth communication earlier in the day. Overall, morning messages create a virtuous circle during a health crisis. Originality/value: This paper establishes a mechanism of virtuous cycles for eHealth communication during a health threat. Additionally, it bridges existing research gaps by expanding chronopsychology and CLT in the health domain using an empirical approach, a real-life case and an extension of performance regarding information-seeking and utilization. [ABSTRACT FROM AUTHOR]

This research focuses on improving internet connection stability at the Network Laboratory of JTIK, Faculty of Engineering, Universitas Negeri Makassar. The study aims to address the challenges of disruptions and instability frequently faced by users of Telkom WiFi in the laboratory, causing significant disruptions in internet activities. This instability is exacerbated by simultaneous internet usage, leading to network overload and bandwidth competition among users, ultimately reducing the overall network performance. As a solution, the research proposes the implementation of a network system that integrates Telkom ISP and 3 LTE using the PCC method. The system is equipped with a failover mechanism that automatically redirects the network connection to the active ISP when issues are detected. Additionally, the research categorizes users into admin lecturers and students, imposing bandwidth limitations specifically for students to prevent excessive network traffic. Three in-depth testing scenarios were conducted, demonstrating that the system smoothly redirects internet connections to the active ISP during issues, ensuring uninterrupted and effective internet access for users. [ABSTRACT FROM AUTHOR]

Copyright of Izmir Katip Celebi University Faculty of Health Sciences Journal / İzmir Katip Çelebi Üniversitesi Sağlık Bilimleri Fakültesi Dergisi is the property of Izmir Katip Celebi University, Faculty of Health Sciene Journal 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.)

Long‐term declines in rates of internal migration have been widely documented in many developed economies. Accompanying this decline has been a proliferation in the everyday use of new technologies such as the internet. New communication technologies have been theorised to influence migration decisions, but the direction of this influence is ambiguous, with some studies finding that they decrease migration, others that they increase it. Using data from the UK Household Longitudinal Study, this paper assesses the relationship between internet use and preferences/expectations to change address as well as the decision to move. Although frequent users of the internet tend to be more mobile on average, longitudinal analysis offers no evidence that internet use influences migratory preferences and expectations or actual moves. This paper contributes to the literature by studying a developed country with high levels of internet penetration, by engaging not only with actual moves but also with preferences and expectations to move, and by drawing on longitudinal data to address unmeasured confounding in so far as possible. More broadly, it provides a reference point for future studies which might consider whether internet use plays a different role in the aftermath of the COVID‐19 pandemic. [ABSTRACT FROM AUTHOR]

There had been an information epidemic during the COVID-19, which led to a lot of adverse network behavior among Internet users. From the perspective of cognition and emotion, this study focused on exploring the influence mechanism of pessimism on undergraduates' adverse network behavior, and introduced the mediating variable of negative affect and risk perception. In this study, a cross-sectional questionnaire was used to evaluate pessimism, negative affect, risk perception and adverse network behavior of undergraduates to explore the characteristics of network behaviors of undergraduates during the COVID-19. 600 undergraduates from three universities in a city in China were selected as participants, among whom 312 students are female and 288 students are male. The results are as follows: (1) Pessimism is positively correlated with adverse network behavior, and pessimism has a significant positive effect on adverse network behavior. (2) Pessimism is positively correlated with negative affect, and negative affect is positively correlated with adverse network behavior. The mediating effect analysis shows that the mediating effect of negative affect on the relationship between pessimistic personality and adverse network behavior has statistical significance. (3) Pessimism is positively correlated with risk perception and risk perception is positively correlated with adverse network behavior. The mediating effect analysis shows that the mediating effect of risk perception on the relationship between pessimistic personality and adverse network behavior has statistical significance. [ABSTRACT FROM AUTHOR]

With tremendous evolution in the internet world, the internet has become a household thing. Internet users use search engines or personal assistants to request information from the internet. Search results are greatly dependent on the entered keywords. Casual users may enter a vague query due to lack of knowledge of the domain-specific words. We propose a query reformulation system that determines the context of the query, decides on keywords to be replaced and outputs a better-modified query. We propose strategies for keyword replacements and metrics for query betterment checks. We have found that if we project keywords into the vector space of word projection using word embedding techniques and if the keyword replacement is correct, clusters of a new set of keywords become more cohesive. This assumption forms the basis of our proposed work. To prove the effectiveness of the proposed system, we applied it to the ad-hoc retrieval tasks over two benchmark corpora viz TREC-CDS 2014 and OHSUMED corpus. We indexed Whoosh search engine on these corpora and evaluated based on the given queries provided along with the corpus. Experimental results show that the proposed techniques achieved 9 to 11% improvement in precision and recall scores. Using Google's popularity index, we also prove that the reformulated queries are not only more accurate but also more popular. The proposed system also applies to Conversational AI chatbots like ChatGPT, where users must rephrase their queries to obtain better results. [ABSTRACT FROM AUTHOR]

Introduction:The use of online health resources and self-diagnosis intensified during the COVID-19 pandemic, often resulting in symptoms of cyberchondria. However, little is still known about this phenomenon's real scale and determinants. The aim of the study was to examine the prevalence of cyberchondria among adult internet users in Poland. Furthermore, the study was focused on analyzing the determinants of cyberchondria, with special regard to health literacy (HL) and e-health literacy (eHL). Methods:The analysis was based on data from a computer-assisted web-based interviewing survey performed with a sample of 1,613 internet users. Uni- and multivariable linear regression models were developed for potential determinants of cyberchondria. Results:Younger respondents were more likely to have higher cyberchondria scores than older respondents. Men were more likely to have lower cyberchondria scores than women. Higher health anxiety was significantly associated with cyberchondria severity. In the multivariable regression model, the severity of cyberchondria was significantly higher among respondents with inadequate rather than sufficient HL (B = 6.24, p < 0.001). In turn, greater eHL was significantly correlated with more severe cyberchondria (B = 0.92, p < 0.001). Conclusions:Our study confirmed that HL may be perceived as a protecting factor against cyberchondria. Unexpectedly, higher eHL predicts more severe cyberchondria. [ABSTRACT FROM AUTHOR]