Impact Of Online Social Networks Research Articles

Examining the Influence of Online Social Networks and MOOCs on Collaborative Practices among TVET Teachers: The Mediating Role of Interpersonal Trust

This study examines the impact of online social networks (OSN) and Massive Open Online Courses (MOOCs) on collaborative practices among vocational training educators, focusing on the mediating role of interpersonal trust. Using a quantitative research design, Structural Equation Modeling (SEM) analyzed data from 343 Technical and Vocational Education and Training (TVET) teachers via a survey assessing MOOC usage, OSN, teacher collaboration, and interpersonal trust. Findings indicate a significant positive relationship between OSN and MOOCs, suggesting their potential to enhance collaborative learning environments. However, a negative direct effect of OSN on teacher collaboration reveals challenges that hinder effective engagement. Importantly, interpersonal trust is identified as a crucial mediator, highlighting the necessity of fostering trust among educators to improve collaboration and knowledge sharing. The research addresses a gap in understanding how MOOCs can enhance collaboration among TVET teachers and improve student outcomes, emphasizing the importance of integrating OSNs and MOOCs into vocational training frameworks while cultivating a culture of trust. Ultimately, the study suggests that leveraging OSNs and MOOCs, alongside interpersonal trust, can transform collaborative practices, benefiting both educators and students. Future research should explore the complexities of these relationships, especially barriers to collaboration and effective strategies for utilizing online networks in vocational training.

Do online social networks affect information asymmetry?

This paper empirically explores the impact of online social networks on information asymmetry, based on an international survey conducted in January - August 2021, with 930 respondents. The methodology follows cross-sectional multivariate regressions augmented by a Structural Equation Modeling (SEM) approach. The findings show that young people living in their origin country are more prone to check the veracity of information read, especially those who are Non-Governmental Organization (NGO) activists. Europeans are very sensitive regarding the veracity of posted information. The number of spoken languages facilitating both processes. Additionally, the information asymmetry is attenuated when the users spend more hours on online social networks or use more platforms. The core result is very interesting, showing that the posted information without serious filters during the reading stage is a serious source of asymmetry. Not least, the owner and government restrictions nonlinearly affect information asymmetry by inverted U-shape. This reinforces the idea that none of those characteristics can be absolutized to improve information asymmetry.

A two-stage VIKOR assisted multi-operator differential evolution approach for Influence Maximization in social networks

The impact of online social networking on daily life is extending beyond personal boundaries, becoming a tool for financial activities and even public well-being. Interactions among users and items, as nodes of such networks, and flows of information among them play a critical role in this regard. Identifying a small subset of such nodes with maximum spreading power that facilitates this process has attracted a lot of attention. The existing solution approaches to this NP-hard combinatorial optimization problem, known as the Influence Maximization (IM) problem, mainly suffer either from poor solution quality or large computational time. This study addresses these issues by proposing a two-stage optimization framework. First, to reduce the computation complexity, a multi-criteria decision making (MCDM) approach is employed to prune insignificant nodes from the candidate nodes. Second, to optimize the solutions, a modified differential evolution (DE) algorithm equipped with multiple search operators is proposed. The proposed algorithm uses the Expected Diffusion Value (EDV) in place of traditional time-consuming simulations to evaluate the fitness of a candidate solution. We proved that EDV is a monotone and submodular function, and showed that it can effectively and efficiently be integrated into a greedy-based algorithmic framework. We also provided the theoretical analysis and evaluated the performance of this proposed algorithm experimentally using two synthetic and eight diverse real-life networks. The experimental results show that our proposed algorithm achieves a better trade-off between solution quality and running time compared to the existing baseline algorithms.

Can Online Social Network Promote Residents’ Consumption<br/>—Proven by the Micro Data from 27,632 Chinese Households

Our research aim is to analyze the impact of rural and urban households’ online social network on their daily consumption, and tests the most important transmission mechanism—credit constraint mechanism in it, and we use the micro data sample of China Household tracking survey (CFPS) to achieve it. Furthermore, we compare the impact of formal finance and informal finance on household consumption’s differences in response. The conclusion shows that: 1) online “group culture” has formed a new type of social capital in China, and has an impact on traditional social networks; 2) there are significant regional differences in the impact of online social networks on consumer credit; 3) the improvement of credit consumption is more driven by Internet technology, and the impact of formal financial institutions on consumer spending is declining. The impact of Internet technology innovation on the improvement of household credit consumption power is constantly improving, and more and more Chinese households get consumer credit support through online social networks.

Hybrid Real-Time Protection System for Online Social Networks

The impact of Online Social Networks (OSNs) on human lives is foreseen to be very large with unprecedented amount of data and users. OSN users share their ideas, photos, daily life events, feelings and news. Since OSNs’ security and privacy challenges are more potential than ever before, it is necessary to enhance the protection and filtering approaches of OSNs contents. This paper explores OSNs’ threats and challenges, and categorize them into: account-based, URL-based and content-based threats. In addition, we analyze the existing protection methods and highlight their limitations and weaknesses. Based on that, we propose a comprehensive, user-level, proactive and real-time OSNs’ protection system, called Hybrid Real-time Social Networks Protector (HRSP). HRSP has three components; a user-level security protocol and two classification models. The protocol defines a structure for OSN’s cryptographic services, including encryption, access control and users’ authentication. The classification models employ machine learning, black lists, white lists and users’ feedback, in order to classify URLs into: Benign, Risk and Inappropriate classes, and contents into: Benign, Hate speech and Inappropriate classes. We constructed two data sets of 150,000 URLs and 22,000 tweets to build and test the two classification models. Results show an overall accuracy of 93.2% for the URL model and 84.4% for the content model, while the protocol implementation produces compatible size and time overhead. The components of HRSP are integrated and have compatible design with OSN platforms.

The Effect of Social Media on Society

Facebook, Whatsapp, Youtube and Twitter are amongst the most popular destinations Social networking sites on the web. No doubt in some cases this has contributed to Internet Addiction Disorder and fraudulent activities on the internet, but have they on the whole had a positive effect in our lives? Some believe that the benefits provided by social network sites such as Facebook and whatsapp have made us better off as a society and as individuals, and that, as they continue to be adopted by more diverse populations, we will see an increase in their utility. Social networking sites, such as Facebook, Twitter and Whatsapp are examples of communication tools available online. With proliferation of social networking online comes impact on society a difference in what people do and how they do it. Changes in society are simultaneously useful and negative and this is the case with the impact of online social networking. This paper aims to look at the positive effect that interaction through social networking sites has on todayrsquos society in relation to the modern media concept of greater interaction.

Information Diffusion Predictive Model Using Radiation Transfer

The impact of online social networks on information exchange between humans has revealed the need to study the mechanisms of information diffusion. Multiple prior works have considered empirical studies and introduced new diffusion models to understand the dynamics of the diffusion process. However, the complexity of network structures and user interactions make it challenging to model the diffusion mechanisms of online social networks and to accurately predict diffusion. In this paper, we propose an information diffusion prediction model based on a physical radiation energy transfer mechanism. The aim of this model is to predict the diffusion graph of a certain contagion throughout an interest-based community. This non-parametric model can accommodate the dynamicity of online social networks because it can receive different input diffusion parameters at different diffusion contagions. With our RADiation DIFFusion (RADDIFF) model, we precisely capture the information diffusion process from both temporal and spatial dimensions and measure the level of influence initiated by certain influencers for each diffusion process. To our knowledge, this model is the first in this domain that exploits the prediction of information networks based on a physical radiation mechanism. We conduct an extensive analysis using an experiment that includes two well-known prediction diffusion models, the linear influence model (LIM) and NETINF. The results show that RADDIFF effectively outperforms both the LIM and NETINF in terms of accuracy and the quality of forecast.

A survey on topological properties, network models and analytical measures in detecting influential nodes in online social networks

There has been a surge in the usage and spread of online social networks in the past few years. This paper focuses on online social networks, which is the most prominent complex network in the modern world. People use online social networks for making friendships, learning, for entertainment and to review product items. This expanded impact of online social networks has prompted the rise of a research area named online social network analysis. This paper reflects the research aspects in the detection of influential nodes in online social networks with respect to topological properties, network generation models and analytical measures in online social networks. We have clearly presented the concepts, issues and future research directions in the influential node detection in online social network analysis. The factors and conditions for the evolution and growth of online social networks and the pre-requisites for generating a random graph for simulation of online social networks have been discussed. The paper gives a clear direction on the relation between computation of influential users and the properties, models and measures in online social networks.

The impact of online social networks on the generation of entrepreneurial ideas the case of egypt

The aim of this research is to evaluate the impact of online social networks on the generation of entrepreneurial ideas and to determine whether the use of “online” social networks affects the idea generation process differently than traditional “offline” social networks in Egypt. A structured questionnaire was used to collect data from two separate nascent entrepreneurial populations via email. Two separate populations will be surveyed for this research. The first population is the target of much of the nascent entrepreneurial research, undergraduate students in Business departments in four private universities, which are (American University in Cairo (AUC), Modern Science and Art University (MSA), German University in Cairo (GUC) and Misr University for Science & Technology (MUST). The second population studied is intended to capture a broader age range of adults with a variety of interests and backgrounds, those taking continuing education classes at business studies division in School of Continuing Education- American University in Cairo (AUC) , and MBA Program studies in Arab Academy for Science, Tech.& Maritime Transport .The reasons behind choosing these populations are that the business studies division tends to attract individuals seeking skills and knowledge associated with starting a business, and the current position of the researchers provided the opportunity to obtain good response rate from the sample populations. The researchers used systematic sample. Descriptive statistics, test of means, t-test, regression, and correlation were used for data analysis. The findings showed that commencing nascent entrepreneurs using online social network websites identify more entrepreneurial ideas than others who do not use online social network websites. The practical and theoretical implications are discussed and future research directions are presented.

The Relationship Between Online Social Networking and Depression: A Systematic Review of Quantitative Studies.

Online social networking sites (SNSs) such as Facebook, Twitter, and MySpace are used by billions of people every day to communicate and interact with others. There has been increasing interest in the potential impact of online social networking on wellbeing, with a broadening body of new research into factors associated with both positive and negative mental health outcomes such as depression. This systematic review of empirical studies (n = 30) adds to existing research in this field by examining current quantitative studies focused on the relationship between online social networking and symptoms of depression. The academic databases PsycINFO, Web of Science, CINAHL, MEDLINE, and EMBASE were searched systematically using terms related to online social networking and depression. Reporting quality was critically appraised and the findings discussed with reference to their wider implications. The findings suggest that the relationship between online social networking and symptoms of depression may be complex and associated with multiple psychological, social, behavioral, and individual factors. Furthermore, the impact of online social networking on wellbeing may be both positive and negative, highlighting the need for future research to determine the impact of candidate mediators and moderators underlying these heterogeneous outcomes across evolving networks.

Corporate Social Networks Applied in the Classroom

<p class="Textoindependiente21"><span lang="EN-US">The impact of online social networks has been extensive because of the new way they enable not only in terms of the relation, communication and collaboration among people, but also between people and businesses. So much so, their use is already habitual within organizations, known as Corporate Social Networks, in order to achieve the same benefits.</span></p><p class="Textoindependiente21">The present study aims to analyze the advantages these corporate social networks have in the classroom seen as a micro-organization where a group of students interact, work and collaborate during a master´s or postgraduate course. To support this research, during 2015 a corporate social network (Yammer) has been introduced to 5 groups of students of various master´s in the prestigious business school ESIC. The feedback obtained from those students and some examples of classroom dynamics prove the usefulness and great value of a corporate social network in postgraduate classes, although some common difficulties and considerations raised by the students themselves have to be taken into account in order to manage its optimal adoption in class.</p><p class="Textoindependiente21">This study also tries to propose some guidelines and best practices obtained as a result of the experience of use and the adoption of social networks in class in order to improve the learning process and innovate in the methodology applied to education.</p>

Exploring the Relationship Between Online Social Network Site Usage and the Impact on Quality of Life for Older and Younger Users: An Interaction Analysis.

BackgroundAnalyzing content generated by users of social network sites has been shown to be beneficial across a number of disciplines. Such analysis has revealed the precise behavior of users that details their distinct patterns of engagement. An issue is evident whereby without direct engagement with end users, the reasoning for anomalies can only be the subject of conjecture. Furthermore, the impact of engaging in social network sites on quality of life is an area which has received little attention. Of particular interest is the impact of online social networking on older users, which is a demographic that is specifically vulnerable to social isolation. A review of the literature reveals a lack of knowledge concerning the impact of these technologies on such users and even less is known regarding how this impact varies across different demographics.ObjectiveThe objective of our study was to analyze user interactions and to survey the attitudes of social network users directly, capturing data in four key areas: (1) functional usage, (2) behavioral patterns, (3) technology, and (4) quality of life.MethodsAn online survey was constructed, comprising 32 questions. Each question directly related to a research question. Respondents were recruited through a variety of methods including email campaigns, Facebook advertisements, and promotion from related organizations.ResultsIn total, data was collected from 919 users containing 446 younger and 473 older users. In comparison to younger users, a greater proportion of older users (289/473, 61.1% older vs 218/446, 48.9% younger) (P<.001) stated that Facebook had either a positive or huge impact on their quality of life. Furthermore, a greater percentage of older users strongly agreed that Facebook strengthened their relationship with other people (64/473, 13.5% older vs 40/446, 9.0%younger) (P=.02). In comparison to younger users, a greater proportion of older users had more positive emotions—classified as slightly better or very good—during their engagement with Facebook (186/473, 39.3% older vs 120/446, 26.9% younger) (P<.001).ConclusionsThe results reveal that despite engaging at considerably lower rates with significantly fewer connections, older users gain a greater quality-of-life benefit. Results disclose how both cohorts vary in their use, interactions, and rationale for engaging with Facebook.

A Study the Impact of Online Social Networking on Teenagers

A social networking service is an online service, platform, or site that focuses on facilitating the building of social networks or social relations among people. The research tries to find the spread of social networking amongst teenagers. The research tries to find the trend followed amongst the teenagers with reference to social accounts. The study tries to find out the present social networking situation in India. The research tries to understand future of social networking.

The impact of online social networking on adolescent psychological well-being (WB): a population-level analysis of Korean school-aged children

This study examines the extent to which online media activities are associated with psychological well-being of adolescents. Data come from the Korean Youth Panel Survey (KYPS), a government-funded multiyear research project. Based on Wave 4 (2007) and Wave 5 (2008) of KYPS, the most recent data available, hierarchical linear models are estimated to probe the psychological effects of time spent online. While holding constant a host of time-lagged control variables at individual (student) and contextual (school) levels, the analysis shows that online social networking is adversely associated with the psychological status of Korean students, measured in terms of self-reported mental problems and suicidal thought. The bulk of previous research on the pros and cons of online social media use is based on cross-sectional data, thereby precluding causal inference. Using longitudinal data, the current research offers more conclusive evidence on the direction of causation.

Impact of Online Social Networking on Employees Productivity at Work Place in University of Gondar - A Case Study

Employees are considered as one of the most important assets of any institution. University of Gondar is one of the known universities in Ethiopia and has large number employees. Success of this University depends on the productivity of its employees. Social media, which has become very popular, has infiltrated the workplace and most employees are utilizing social media in the workplace without any access restriction. The purpose of this study is to examine the extent of social media participation by employees and its effect on their productivity. A sample was stratified randomly selected from a population that has internet connectivity in the workplace. Primary data was collected by using a questionnaire and interview. The research found both negative and positive relationship between social media participation and employee productivity. The negative relationship was however found to be stronger as 68.4 % employees spend most of their time on social media enhancing personal networks and 86 % of employees use office hours to visit online social networks. Positive relationship exists in employee, who use of social media for seeking and viewing work related information. The study concluded that employees participate in social media in the workplace for both work and non-work related activity. Social media has the potential to allow employees to form collaborations and communities for knowledge creation and sharing, better channels of communication, which enhance employee productivity. However, it can draw employees in to an addiction that distracts performance as well as straining the University resources.

Enhancing international assignees’ performance with online social networks

Purpose – Adjustment to the new locale is one of the primary factors that influence performance on an international assignment. The purpose of this paper is to propose a model that depicts how online social networks may contribute to international assignees’ adjustment via their influence on well-being and knowledge transfer. Design/methodology/approach – The present research uses network theory and readily available technology to develop a model of how online supportive social networks and informational social networks may increase the international assignee’s well-being and knowledge transfer (with prior/next assignees and with the organization). These increases will subsequently have a positive impact on the assignee’s adjustment and ultimately his/her job performance. Findings – Since this paper is conceptual rather than empirical, there are no findings; however, it is argued that online social networks may have a positive impact on an expatriate’s well-being, knowledge transfer, adjustment, and job performance. Research limitations/implications – This paper is a conceptual piece, so data will need to be collected to test the model developed here. Furthermore, other factors may influence international assignee adjustment, such as spouse and/or family adjustment. Practical implications – Suggestions are provided regarding how organizations can utilize in-house or external online social networks to assist international assignees. Originality/value – Despite the ubiquity of online social networks, there is a paucity of research examining the potential impact of online social networks on international assignees.

Impact of Social Media on Students Entrepreneurial Orientation: A Study of Selected Institutions in Nigeria

Regardless of huge prospects for entrepreneurial opportunity exploitation as provided by online social media, students’ predispositions to opportunity identification and business startup have been low. This has resulted to poor innovation, less business startup intention, and ultimately increased graduate unemployment in most developing nations. This study attempts to investigate the impact of online social networking on students’ entrepreneurial orientation. A survey of 185 undergraduates across various disciplines was selected from five tertiary institutions through a self-administered questionnaire. The data were analysed using both descriptive and inferential statistical tools with the aid of SPSS 1 6.0. The result revealed active engagement of students in online social network sites such as WhatsApp, LinkedIn, Instagram, and Facebook among others. However, the test of hypothesis revealed an insignificant relationship between online social networks and students’ willingness to startup a business. The study recommends that students need to change their orientation towards embracing online social network as a platform for business idea generation, opportunity identification and business networking.

STUDYING TOURISM WEBSITES AND THE EFFECTS OF ONLINE SOCIAL MEDIA

During the past decade, information technology has significantly changed the way the tourism companies plans, controls and manages operations. For example, the increased use of Web 2.0, has gradually altering the industry structure and developing a whole range of opportunities and threats. Hence, the purpose of this study is to verify the impact of online social networks in raising the number of visitors to referenced websites as well as forecasting the total number of tourism websites visitors and social media referrals to better understand and evaluate the potential importance of this technology using time series analysis. This objective will be achieved through analyzing the pattern of visits to a sample of Egyptian tourism websites and the relationship between the total visits and those having the OSNs as referrals has been measured. The data analyzed in this study were provided from the secondary data generated by Google Analytics (GA). The data collected consisted of the series of total visits of Egyptian websites and the contributions of these visits via social media referrals. The significance of the explanatory variable visits via social media referrals as well as the time period was addressed with a multiple regression. To forecast the total number of visits to the tourism websites the time series analysis approach as a non causal method has been used. The results show that time and social media referrals have a significant influence on the total visits of tourism websites. Moreover, Egyptian tourism businesses should not only consider the presence and interaction on Facebook, Google+ and My space, they should also consider Media sharing platforms such as You Tube and Pinterest.

The Impact of Online Social Networks on Health and Health Systems: A Scoping Review and Case Studies.

Interaction through online social networks potentially results in the contestation of prevailing ideas about health and health care, and to mass protest where health is put at risk or health care provision is wanting. Through a review of the academic literature and case studies of four social networking health sites (PatientsLikeMe, Mumsnet, Treatment Action Campaign, and My Pro Ana), we establish the extent to which this phenomenon is documented, seek evidence of the prevalence and character of health‐related networks, and explore their structure, function, participants, and impact, seeking to understand how they came into being and how they sustain themselves. Results indicate mass protest is not arising from these established health‐related networking platforms. There is evidence of changes in policy following campaigning activity prompted by experiences shared through social networking such as improved National Health Service care for miscarriage (a Mumsnet campaign). Platform owners and managers have considerable power to shape these campaigns. Social networking is also influencing health policy indirectly through increasing awareness and so demand for health care. Transient social networking about health on platforms such as Twitter were not included as case studies but may be where the most radical or destabilizing influence on health care policy might arise.

Facebook as a tool for learning purposes: Analysis of the determinants leading to improved students’ learning

The study described in this article aims to investigate the use of out-of-class communication between students and instructors using Facebook as a means of interaction for learning. How often/how much students use such an online social network and the clarification as to the reasons for online communication are the two exogenous variables used to measure the perceptions that students have about the impact of online social networking on their learning. How students perceive the quality of the content of student–instructor interaction on Facebook is treated as a mediating variable in the research model. How students perceive their performance is used as a proxy for their learning outcomes and is treated as the endogenous variable. A questionnaire was developed and used, and the analysis of the data gathered from the questionnaire was conducted using a measurement model and a structural model. The results of the study revealed that how often/how much students use an online social network and the reasons that they give for using online communication have a significant positive impact on how they perceive the quality of the content of student–instructor interaction on Facebook. In addition, the results demonstrated that the use of Facebook has a negative impact when it comes to the students’ perceptions of the quality of the content of student–instructor interaction on their perceived performance.