Social Networking Technologies Research Articles

GREEN HYDROGEN: A SOCIAL MEDIA INTELLIGENCE ANALYSIS

Given the current state of climate change and the fight against it, green hydrogen has the potential to be the energy vector of the future within a context of decarbonisation. In this way, fossil fuels might be replaced by green hydrogen in those sectors that are most difficult to decarbonise. Therefore, in recent years it is becoming more and more common to hear about green hydrogen in society and the great advantages of using it, although, it also has some disadvantages, mostly related to higher costs and higher energy consumption. With this in mind, the purpose of this paper is to use social media intelligence for the topical issue of green hydrogen; i.e. the objective is to gather and analyse the social perception of it. For this purpose, taking the social media platform Twitter as our source of information, we extracted 625,794 green hydrogen tweets for the years 2020, 2021 and 2022. On the one hand, a social network analysis was carried out, obtaining different metrics and identifying the main communities that have been talking about green hydrogen in the digital sphere over the last three years. On the other hand, using artificial neural networks, a sentiment classification model was applied to the tweets with the aim of detecting the emotion generated by society. Accordingly, results were obtained and interpreted through a novel methodological combination. The network analysis revealed that the conversation taking place is not polarized and is a reflection of the digital agora that brings together citizens, media actors and actors from the economic-political space. In addition, the sentiment analysis conducted shows that the overall digital discussion is positive. Keywords: Green hydrogen, social media, text mining, artificial neural networks, social network analysis, social perception, technology and social change, Twitter

Conceptualization of information warfare in the context of the development of modern social networks

In this paper, the author examines the main theoretical directions in the study of information wars as a phenomenon of the modern political process in the world. Much attention is paid to the analysis of domestic approaches to determining the components of information wars, their goal-setting and mechanisms. Separately, the paper examines the phenomenon of social networks as the most important component of information warfare. The relevance of the research topic is determined by the increasing use of political propaganda in today's informational and increasingly digitalised world. The paper operationalises the concepts of "information warfare" and "political propaganda", studies technologies and methods of political influence, factors and stages of development of political propaganda, and describes the role of social networks as tools of political propaganda. As a result of the conducted research, the close relationship between social networks and information warfare technologies was confirmed. This is facilitated by the following factors: a large number of users, lack of control over the virtual space, imitation of real communication by virtual. The study conceptualised the main concepts in the works of Russian scholars to analyse the use of social networking technologies in political propaganda and information warfare. The relevance of the research topic is determined by the the fact that in the modern information and increasingly digitalizing world. The paper operationalizes the concepts of "information warfare" and "political propaganda", examines technologies and methods of political influence, factors and stages of development of political propaganda, and describes the role of social networks as tools of political propaganda.  

Applying task supported language learning via instagram: the effects on EFL learners' self-esteem, academic buoyancy, academic engagement, and language achievement

Researchers have firm reason to unlock the potential of social networking technologies today because of the rapid development of these platforms, which may be used to enhance educational outcomes. Despite the widespread recognition of social media's influence on the second/foreign language learning process, few empirical research has attempted to find out how Instagram feed-based tasks impact learning and supported self-esteem, academic buoyancy (AB), academic engagement (AE), and language achievement (LA). In order to address this knowledge gap, the present study investigated how Instagram feed-based assignments may be used to improve self-esteem, AB, AE, and LA for EFL students. This was accomplished by randomly assigning participants into two groups (experimental and control) from a pool of 93 intermediate EFL students. Students in the control group (CG) participated in online webinars on a consistent basis. Students in the experimental group (EG) took part online webinars. Moreover, they were given assignments based on Instagram feeds. The Multivariate Analysis of Variance (MANOVA) of the data showed that the EG fared better than the CG. The findings underlined the substantial benefits of Instagram feed-based activities in promoting self-esteem, AB, AE, and LA. Possibilities for future use of Instagram task supported language learning and teaching may arise as a result of this study's implications for students, educators, and policymakers.

CYBER STRAIN: EXPLORING ADVERSE MENTAL HEALTH EFFECTS OF THE PROBLEMATIC INTERNET USAGE AMONG UNIVERSITY STUDENTS

Social Networking Technologies have become an integral part of daily life, particularly among adolescents. However, the positive aspects have been overshadowed by negative ones. The recent studies indicate that university students, mainly during COVID-19, frequently utilize internet technologies excessively, leading to adverse effects on their mental health. Since there is little empirical research on this topic in rural Pakistan, so little is known about it. This study aims to determine association amid problematic internet use and mental health issues among students. Using a cross-sectional design, quantitative data were obtained by using self-administered questionnaire. Population of this study consisted of 367 students from three universities located in the southern in Southern Khyber Pakhtunkhwa Pakistan. The data was analysed inferential statistics. Results revealed a positive link between problematic internet usage and mental health issues, whereas this link was mediated by the meta-cognition and life-events. This was first research of its kind on mental health of the adolescents in southern Khyber Pakhtunkhwa, Pakistan. Its findings represent an important contribution to current body of knowledge. The individual, institutional and policy implications of the results are substantial.

Students’ Decisions in the Context of Social Network Learning Interaction

In the context of globalization and technology-driven advancements in the 21st century, learning methods have undergone significant changes. The development of informatization education and social networking technology has facilitated the integration of learning into every aspect of daily life, extending beyond the confines of traditional classrooms. Students interact and cooperate with other learners on social media platforms, which provide them with rich learning resources. However, making the best choice from them has become a core issue. Although the evaluation and selection of learning resources on social networks have been extensively studied in the academic community, most of the studies have focused on the observable attributes of resources while neglecting the subjective perception and experiential attributes of students. This study aimed to investigate how students make learning decisions based on their expectations of learning energy efficiency in social network learning environments. The study also considered observable and experiential attributes of learning resources to provide more comprehensive and accurate references for learning decisions.

Digital Marketing Tactics for Startups: Building a Strong Online Presence

Abstract: The reason for considering it is to recognize the role of front demonstrations in startups. This document provides a comprehensive analysis of the computerised startup demonstration procedure. He examines the statistical information of budget projections. This also distinguishes the main goal of social networking technologies. It outlines how startups can leverage social media to reach large numbers of people and potential customers. We also talk about what materials to use for which deals, how to leverage social causes to build your brand and how to do it. recognition device. An extended demonstration is the promotion of a product through electronic media. It differs from the regular demo in that it uses different channels and strategies to help businesses analyse their marketing campaigns. Most of the startups have standard arrangements to get closer to their customers. Extended demos play an important role in today's competitive marketplace. A forward marketing team needs to be robust enough to meet customer needs. This paper throws light on the concept of computerised showcasing and computerised promoting techniques embraced by start-ups.A promoting methodology for start-ups is in general amusement arranged for coming to individuals and turning them into aspirants of the Plot that the start-ups give. The showcasing technique for start-ups contains the Scheme’s valueposition, key showcasing messages, data on the target group of onlookers, and other high-level components. The Marketing methodology advises the marketing plan, which may be a record that lays out the sorts and timing of marketing activities.

Association of Loneliness With Change in Physical and Emotional Health of Older Adults During the COVID-19 Shutdown

To examine factors influencing loneliness and the effect of loneliness on physical and emotional health, in the context of the COVID-19 pandemic. Prospective, observational cohort. Community-dwelling participants. Older adults (n=238) enrolled in a longitudinal study. Interviews were completed July-December 2020. Loneliness was measured with the UCLA 3-item loneliness scale. Data including age, marriage, education, cognitive functioning, functional impairment, vision or hearing impairment, depression, anxiety, medical comorbidity, social network size, technology use, and activity engagement were collected. Health outcomes included self-rated health, and physical and mental composites from the 12-item Short Form Survey. Physical function was measured by a PROMIS-scaled composite score. Thirty-nine (16.4%) participants reported loneliness. Vulnerability factors for loneliness included age (RR=1.08, 95% CI 1.02-1.14); impairment with instrumental activities of daily living (RR=2.08, 95% CI 1.14-3.80); vision impairment (RR=2.09, 95% CI 1.10-3.97); depression (RR=1.34, 95% CI 1.25-1.43); and anxiety (RR=1.92, 95% CI 1.55-2.39). Significant resilience factors included high cognitive functioning (RR=0.88, 95% CI 0.83-0.94); large social network size (RR=0.92, 95% CI 0.88-0.96); technology use (RR=0.81, 95% CI 0.73-0.90); and social and physical activity engagement (RR=0.91, 95% CI 0.85-0.98). Interaction analyses showed that larger social network size moderated the effect of loneliness on physical function (protective interaction effect, RR=0.64, 95% CI 0.15-1.13, p <.01), and activity engagement moderated the effect of loneliness on mental health (protective interaction effect, RR=0.65, 95% CI 0.25-1.05, p <.001). Resilience factors may mitigate the adverse health outcomes associated with loneliness. Interventions to enhance resilience may help to diminish the detrimental effects of loneliness and hold great importance for vulnerable older adults.

Experimental evidence for structured information–sharing networks reducing medical errors

Errors in clinical decision-making are disturbingly common. Recent studies have found that 10 to 15% of all clinical decisions regarding diagnoses and treatment are inaccurate. Here, we experimentally study the ability of structured information-sharing networks among clinicians to improve clinicians' diagnostic accuracy and treatment decisions. We use a pool of 2,941 practicing clinicians recruited from around the United States to conduct 84 independent group-level trials, ranging across seven different clinical vignettes for topics known to exhibit high rates of diagnostic or treatment error (e.g., acute cardiac events, geriatric care, low back pain, and diabetes-related cardiovascular illness prevention). We compare collective performance in structured information-sharing networks to collective performance in independent control groups, and find that networks significantly reduce clinical errors, and improve treatment recommendations, as compared to control groups of independent clinicians engaged in isolated reflection. Our results show that these improvements are not a result of simple regression to the group mean. Instead, we find that within structured information-sharing networks, the worst clinicians improved significantly while the best clinicians did not decrease in quality. These findings offer implications for the use of social network technologies to reduce errors among clinicians.

Адаптационные ресурсы российской молодежи в условиях интенсивных геополитических трансформаций

The work is focused on the research of technologies for the formation of young people's scientific picture of the world and the corresponding political culture in the conditions of a high degree of societal informatization and cardinal geopolitical transformations. The article emphasizes the role of education and science in the process of spiritual and ideological formation of personality, the increasing importance of information technology and new social media. It is emphasized that one aspect of the geopolitical reality that intensifies the civil participa-tion of youth in politics is the intensification of social networking technologies that challenge the information security of Russia. Information threats as a devastating, destructive component in the space of political interac-tions manifest themselves in the distortion of information in order to psychologically influencing young people. The methodological significance of the concept of universal evolutionism and the resource potential of the lat-est information technologies and digital ecosystems in politics are argued.

Using technology acceptance model to discuss factors in university employees’ behavior intention to apply social media

In order to evaluate the problem of employees using social networking technology for business purposes, the technology acceptance model will be applied. The purpose of the study is to establish the levels of impact exerted by the elements that influence the intentions of individuals working in the university to utilize social media. Employees in the university’s connections between “organizational support,” “colleague support,” “self-efficacy,” “technology capacity,” “perceived usefulness,” “perceived ease of use,” and “behavior intention” are acknowledged as factors in this study. It was possible to get a total of 247 copies that were legitimate. For the purpose of inferential statistics, the partial least squares structural equation modeling method was applied. The data indicate that colleague support and technological capabilities do not have any impact on how easily something may be used or how valuable it is thought to be. On the other hand, organizational support and self-efficacy have a favorable influence on the perceived ease of use, but they have no effect on the perceived effectiveness of the tool. Additionally, while perceived usefulness does not have any influence on behavioral intention, perceived simplicity of use does have a favorable effect on behavioral intention.

Araç Sosyal Ağında Blokzincir Teknolojisinin Kullanımı

In this study, the application of the vehicle social network, which is formed by integrating the concept of vehicle social network, which started to emerge with the increase in the number of connected vehicles, and the blockchain technology, which is widely used today, is implemented with a decentralized structure with the structure created in this study. In other words, while integrating the vehicle social network and blockchain technology, the system structure in this study is suggested. Within the scope of this proposal, information will be given about some of the improvements made and it is discussed which points have been addressed in the system and what is being worked on. In this context, after mentioning blockchain technology and vehicle social network, the architecture and algorithm in this study will be mentioned. We will use diagrams and pseudocodes to explain our algorithm. Finally, we will summarize what we talked about in this study with the conclusion part.

Novice teachers’ identity exploration in their relations with parents in an era of social networking sites: A case study in China

By drawing on a case study of three Chinese novice teachers, this article illustrates that social networking technologies create opportunities for teachers to establish links with parents, allowing direct and prolonged interaction. This has constructed an arena for novice teachers to venture into and navigate through with continual negotiation between their selves and the parents. This process may involve the enactment of particular notions of the professional role, such as messenger, problem-solver and community liaison. These notions reflect different understandings of and responsibilities to students and parents, and differing perspectives on and usage of SNS tools. This study sheds new light on the complexity of novice teachers’ identity formation in the context of a social life that is deeply entwined with social networking technologies. It also speaks to the need to prepare pre-service teachers for establishing and sustaining a relationship with parents, taking into account the mediating role of social networking sites.

Predictive Maintenance in Healthcare System: A Survey

Medical devices are a vital component of healthcare systems, the advantages they may give continue to grow as they are crucial for the safe and effective prevention, diagnosis, treatment, and rehabilitation of illnesses and diseases. Therefore, it is critical to maintain them in good operating order to ensure optimum availability, minimal failures, and guarantee patients’ and users’ safety. The stages involved in medical devices regulation and management are complex, but they are necessary to ensure their quality, safety, and compatibility with the settings in which they are used. Medical equipment complexity has increased due to technological advancement and the traditional maintenance strategies do not meet the needs of today’s healthcare organizations. Therefore, integrating information technology, social networking technologies, digitization and management of medical devices, and the use of big data technologies and Machine Learning (ML) techniques has the potential to significantly improve healthcare services. Integrating autonomous and intelligent systems where data and sophisticated data analytics may be employed led to enhanced equipment data collecting via the deployment of information and communication technologies, notably intelligent devices. With this advancement came an increase in Predictive Maintenance (PdM) solutions. PdM has become a commonly used approach, described as a set of procedures used to evaluate the condition of equipment and predict future failures. These estimations are then utilized to schedule maintenance activities through smart scheduling of maintenance procedures, which aids in preventing or at least minimizing the impacts of unanticipated failures. The purpose of this article is to present a Systematic Literature Review (SLR) exploring and reviewing prior research on the subject of PdM and the developments of this method, particularly in the medical field. In addition to supporting new research projects in the PdM sector, this paper offers a good foundation for understanding PdM approaches, their key findings, problems, and potential. This review focuses on two scientific databases from which a substantial number of articles dedicated solely to PdM in the medical field have been retrieved for analysis. Our research led us to conclude that, despite the many potential benefits of predictive maintenance in the medical field, the concept is still being under-exploited and faces many obstacles.

Social Inclusion: The Use of Social Media and the Impact on First-Generation College Students

Social inclusion has become a pressing issue for organizations wishing to close the inequality and disparity gaps associated with underrepresented or disadvantaged groups. The challenge is becoming particularly critical in higher education institutions suffering from low retention rates and low graduation rates among first-generation college students (FGCS). In response to the challenges imposed by the notion of social inclusion, some universities and colleges are exploring the use of social networking technologies such as social media (SM) in ways that can impact social inclusion. In order to improve the understanding of how social networking technology affects the social inclusion of FGCS, we conducted a case study in a public, Hispanic-serving institution in the United States. We used technology affordance theory to reveal various affordances actualized by FGCS and various outcomes resulting from those affordances. To explain how the actualization of different strands of affordance produces certain outcomes, our analysis of 102 FGCS’ narratives followed an established five-step framework for identifying generative mechanisms, revealing three SM user types—Community Builders, Scholars, and Information Seekers—and four actualized affordances, namely interconnection, inspiration, insightfulness, and intense comfort, which are conceptualized into three generative mechanisms: identity booster, academic growth, and self-care. Our results provide insights into SM usage for social inclusion outcomes. By revealing how technology use can promote social engagement and mitigate exclusion experienced by FGCS, this study contributes to the broad social inclusion research on technology and disadvantaged communities.

Pervasive signaling

How does the increasing publicness of decisions (due, e.g., to social media) affect the total costs of social signaling distortions? While pervasive signaling may induce pervasive distortions, it may also permit people to signal while distorting each choice to a smaller degree. Ironically, for a broad class of environments, a sufficient increase in the number of signaling opportunities allows senders to “live authentically,” that is, to signal their types at arbitrarily low overall cost. This result survives when social networking technologies expand signaling opportunities and audience size in tandem, provided the returns to the latter are not too great.

Social network recruitment technology adoption framework in higher educational institutions in Kenya

The success of the organization depends on effective recruitment and selection system. Looking at the Kenyan labour market, there are still unfilled vacancies and organisations have problems regarding their staffing. Recruitment by Social Networking Sites is an aspect of a new topic and there is a lack of studies about it. In this study, the main objective is to develop a framework for recruitment and selection process using social networking technologies with a case study on Kenyan universities. The study also focuses its attention to determine how the recruitment and selection practices affect the organizational outcomes. Specifically, it enriches literature by identifying the effect of various social networking sites as recruitment channels. Quantitative research will entail defining specific variables, research questions, as well as using measurements to determine causality. The analysis will be done through inductive methodology to discover the critical elements that emerge during online networking and personal touch, and analysis of factors that affect the selection and use of these technologies. Through this, human resource managers will be able to use the framework for achieving effective recruitment of potential employees through social networking technologies.

THE EXPLORATION OF CORRELATES OF LONELINESS AMONG COMMUNITY-DWELLING OLDER PEOPLE’S TECHNOLOGY LITERACY

Abstract Social isolation is a major public health risk among older adults, even considered to be as harmful as smoking. The aim of this study was to explore the benefits of digital literacy and the correlates related to levels of loneliness on older people.Mail-survey data were collected from community-dwelling adults over the age of 65. There were 192 total participants, with information from 180 people being included in the analysis.The six-item De Jong Loneliness Scale was used to measure levels of loneliness. Among the 180 participants, the mean was 2.02 (SD = 1.68).Regression analysis revealed that the equation explained 48.2% of variance (adjusted R-squared = .446) in levels of loneliness (F (11,162) = 13.682, p &amp;lt;.000). Variance inflation factor (VIF) values were smaller than 10, indicating that multicollinearity among the correlates was not an issue. Correlates of levels of loneliness included aging anxiety, depression, social network, and self-evaluated technology literacy with computer software programs compared to peers. Results confirmed the correlates related to loneliness among older people identified in previous studies. This shows quality of life related to mental health may be improved by a positive attitude towards technology use.This study further found that digital literacy affects loneliness when controlling for income, depression, level of network, and physical health.Participants who could increase their digital literacy are interested in more opportunities on how to use new technology. Policy changes that allow for lifelong learning options could support this, while also decreasing levels of social isolation and loneliness.

Crisis communication during emergency (on the example of the Al-Farabi KazNU)

Higher education institutions in Kazakhstan face various imperatives to better deal with the myriad crises affecting their staff and campuses. A crisis is an unexpected or unforeseen event that disrupts and threatens an organization and can be caused by both human and natural causes. Social media has become a powerful tool in crisis management on campus. Social media has challenged crisis communications professionals at universities. The main purpose of this study is to explore the usefulness of social media as a crisis communication practice in the university. The main research question: “How and what social network technologies are selected, planned, implemented and controlled in anti-crisis management at universities, in particular, at al-Farabi KazNU, in the leading multidisciplinary higher educational institution of Kazakhstan?” The “January tragedy of 2022” is considered as a period of emergency. Because of this, secondary research questions arise that relate to linked components of social networks and crisis management and include the following: How was information received during the January events? What types of communication were used? How do university crisis communication officers monitor and respond to social media in the myriad stages of crises? The results of this study include documenting practices that contribute to the successful integration of crisis communication in social networks. The conclusions are of particular interest and can be used in scientific research on the problems of studying crisis communication. The work also provides an opportunity to expand the understanding of the tragic January events, as it opens up the results of the online survey "Crisis communications during the inversion period of the January events". Therefore, the factual material introduced into scientific circulation, conclusions, assessments, recommendations make it possible to use them in the creation of generalizing works on the issues under study. Keywords: crisis communication, social networks, January tragedy, emergency period.

Libraries respond to the COVID-19 pandemic: drawing a science map of published articles

PurposeThe lockdown of libraries has led to changes in the delivery of services. Reviewing many studies in this regard appears to be of great importance. Thus, this study aims to analyze the articles related to libraries and COVID-19 using the co-occurrence analysis.Design/methodology/approachThe current study is applied in terms of purpose and scientometrics in terms of type, which has been conducted using a retrospective bibliometric analysis method and drawing a science map. The relevant keywords were searched in the Scopus and 225 articles were reviewed in terms of author, year of publication, journal, organization and subject. Then, the VOSviewer software was used to analyze and illustrate the keywords and draw the scientific map of the articles.FindingsThe results showed that 225 articles by 496 authors from 66 countries and 379 organizations were published in the subject area of libraries and COVID-19. These articles have received 620 citations. The co-occurrence analysis of words showed that these scientific productions are classified into four clusters: “The role of libraries and librarians”, “The use of media, social network and communication technologies in order provide library services”, “Online Library Services” and “Infodemic and misinformation in the COVID-19 Pandemic”.Originality/valueIt is the first time during the COVID-19 pandemic that a scientific map has been drawn up of studies that have examined the role of libraries in this pandemic. The results of the present study may help libraries to access what they need to consider in any crisis.

Drivers and barriers of using online social networking technologies among people living with HIV/AIDS in Iran

Introduction. Online social network technologies have been widely used to enhance HIV prevention, diagnosis, and treatment programs; however, little is known about the current use and potential drivers and barriers of these technologies among Iranian people living with HIV. Method. Semi-structured interviews were conducted with 28people living with HIV/AIDS already using online social network technologies. Analysis. Thematic analysis was used to analyse interviews. Results. Results showed that the average time spent on online social network platforms was 3.5-5.7 hours daily. Peer groups and pre-existing platforms (groups) established by health care providers or community-based organisations were frequently used by people living with HIV/AIDS for communication. Seeking and sharing health information and personal experiences, staying connected with peers and care providers, and social support exchange were major drivers for using online social network platforms. Cross-posting of users or sharing irrelevant or disappointing posts, gender issues, and poor engagement of users were reported as major barriers to online social network use among respondents. Conclusions. Our findings indicated that online social network technologies have empowered Iranian people living with HIV/AIDS, making them more connected, safe, and able to access HIV/AIDS-related information and services. Future studies are needed to investigate the feasibility and acceptability of these interventions among key populations including sex workers and injection drug users