Online Social Network Environment Research Articles

The Role of Social Media In Promoting The Safety Of Women in Indian Cities

In every city, harassment and violence becomes one of the major problems for women. Further, women’s personal life is suffered by the bullying and abusive content presented in online social networking (OSN). Therefore, it is necessary to identify the women safety in OSN environment. However, the conventional methods failed to predict the maximum safety analysis. So, this work is focused on women safety prediction using decision tree (WSP-DT) classifier. Initially, twitter dataset is considered to implement the entire system, which is then pre-processed to remove the missing and unknown symbols. Then, natural language toolbox kit (NLTK) applied to perform the tokenization, conversion to lowercase, stop words identification, stemming and lemmatization of tweets. Then, text blob protocol is developed to identify sentiments of pre-processed tweets, which identifies the positive, negative and neutral polarities of tweets. Further, term frequency-inverse document frequency (TFIDF) is applied to extract the data features based on word and character frequency. Finally, decision tree classifier applied to identify the fake or genuine tweet based on multi-level training. The simulations conducted on twitter dataset show that the proposed WSP-DT classifier resulted in superior performance than the other methods.

Social Capital and Job Search Behavior in the Services Industry: Online Social Networks Perspective

Although job seeker social capital is considered a fundamental determinant of job-finding ability, it has yet to be discovered which activities contribute to its formation in the online social networking environment. Therefore, this study aims to reveal how job-seekers use online social networks, which job-searching activities increase their social capital and consequently contribute to finding a job in the services sector. The analyzed data were collected through an online questionnaire completed by 431 respondents. The resulting regression model identified two significant factors, namely the use of an online social network to directly contact a potential employer (p-value = 0.0017) and membership in Facebook professional groups in the area in which the respondent was looking for a job (p-value < 0.0001). The results confirmed that job-seekers who conduct both identified activities would have a 1.94 times bigger chance of finding a job. On the other hand, if they would not perform either of the activities, the probability of not finding a job would be 6.69 times higher. This study has several implications for human resource management theory and practice. First, it identifies job-seekers activities to find a job on online social networks and specifies the activities which lead to getting a job. Second, it enriches the Uses and Gratification theory by revealing that job-seekers prioritize the saturation of social needs over cognitive needs when searching for jobs on online social networking sites.

Research on Viral Communication of New Media Based on Online Social Network

With the rise and growth of new internet media, online video is more and more favored by netizens. The influence of video media has been continuously strengthened, and the online video marketing market has made great progress in recent years. In addition, due to the relatively loose network supervision environment, the creative space of online video advertising is also broader. With the dual advantages of TV advertising and online advertising, online video advertising has significant marketing advantages. As a relatively new form of online advertising, online video advertising has been integrated into the lives of netizens, and viral online video advertising is a strong representation of online video advertising. Different from previous advertisements, viral video advertisements require audience to spread to others after watching, and spread the advertisements to a wider range. Therefore, it has high requirements for audience participation. This paper analyzes the structure of new media communication in the online social network environment, and discusses the characteristics of high viral transmission of new media video backbone.

DDoS attack resisting authentication protocol for mobile based online social network applications

The rapid development of smartphone technology and the Internet services in mobile devices facilitates easy access to online social networking (OSN) sites anytime, anywhere. At the same time, this allures the adversaries to exploit the OSNs as a soft target for easy execution of various attacks that can quickly spread to a large number of users. In distributed denial-of-service (DDoS) attacks, an adversary aims to overwhelm the normal traffic of a targeted server with a flood of fake login messages so that the associated Internet service or website turns inoperable. In this paper, we propose a secure and lightweight authentication scheme (PRDoS) that resists DDoS and other security attacks in mobile OSN environments. We provide a multi-faceted solution towards the remedy of DDoS attacks in the OSN environment. After a certain threshold, the scheme discards further user login attempts and blocks an adversary who intends to overload the network server. We use the pre-loaded shadow identity and emergency key pairs, and a key-refilling strategy that rebuilds the essential synchronization between a blocked naive user and the OSN server. This technique restores the intended un-linkability property of the protocol. Using NS3 simulation, we study the impact of DDoS attackers on network throughput and network delay. Moreover, we validate and compare the proposed scheme against state-of-the-art solutions using the real attacks and benign datasets. We use the Canadian Institute for Cybersecurity (CIC) DoS dataset 2017, which is generated by capturing the normal and DoS attack packets separately with subsequent pre-processed for testing. We also use the machine learning (ML) algorithms, such as K-Nearest Neighbor (KNN), Gaussian Naive Bayes, and Multilayer Perceptron (MLP) to demonstrate the performance of the proposed solution in a practical attack detection scenario. We observe that these algorithms provide 97.05%, 95.48%, and 96.6% DDoS attack detection accuracy, respectively.

Inovação, aprendizagem e extensão universitária em rede social online

University extension, one of the columns of University needed to be reinvented whilst the Coronavirus pandemic (Covid-19), through innovative practices learning such as the use of online social networks, which constituted a strong base of information in this scenario. Thus, the study mapped the innovation actions and learning trough online social networks and the extension projects of the Department of Information Science at the Federal University of Paraiba. Therefore, it started from a descriptive and documentary research, with qualitative approach, using data collection through an electronic questionnaire with the coordinator's of the referred extension projects. For the analyses, critical-reflective inference was used. In the results, the projects and the profile coordinators were characterized and the innovation and learning actions were identified in online social networking environment, highlighting Instagram, Facebook, podcast, lives, sites, Linktree, drive and use of platforms like Google Meet. It is concluded that innovation in the university extension was driven by the use of digital tools for sharing scientific content in remote platforms and online social networks, fostering learning and endorsing social networks as allies in the effectuation of these actions.

Interaction and Visualization Design for User Privacy Interface on Online Social Networks

The number of users participating in online social networks is increasing significantly recently. As a result, the amount of information created and shared by them is exploding. On the one hand, sharing information online helps people stay in touch with each other, although virtually. But on the other hand, sharing too much information may lead to sensitive personal data being leaked unexpectedly. To protect their users’ private information, online social network providers often employ technical methods like access control, cryptography, privacy preserving data processing, among others. Although these approaches are good enough for their designated purposes, they provide little to no protection when are used wrongly. To reduce the number of mistakes users may make, online social network providers also offer them visual interfaces, instead of lengthy and boring texts, for privacy settings selection and configuration. Unfortunately, private information is still shared publicly, with or without its owners’ awareness. In this paper, we attempt to mitigate the privacy leakage problem by proposing a novel visual model for measuring and representing users’ privacy in online social network environment and associated privacy controller for protecting it. A concrete instance of the model has been designed and implemented. A demonstration of the model instance has been executed for one of the biggest social networks, Facebook. Initial results indicate the effectiveness of the proposed model and its concrete instance. However, a more important and difficult problem is whether online social network providers are willing to apply these results, which may affect sharing activities and go against their business objectives.

The peer interaction process on Facebook: a social network analysis of learners’ online conversations

With the increasing prominence of computer-mediated communication (CMC) in higher education, the number of programmes and studies integrating online peer interaction opportunities on social media, likewise, has surged. Nevertheless, little quantitative research has been performed on the ways in which learners interact with one another via these platforms for academic purposes. As a result, little is known about how learners develop a network of peers and how they interact with this peer group through social media tools. This paper analyses the peer interaction process in a Facebook environment, integrated into the foreign language curriculum at university level. In two consecutive years, two groups of Belgian first-year foreign language learners of English (N = 119, N = 112) were invited to consult with a community of learners about their learning trajectory via the platform. Through social network analysis, it is determined which topics, challenges and personal experiences students discuss on Facebook and how these are embedded in the peer interaction process overall. While the two learner groups have different approaches to addressing learning challenges and needs, certain topics and activities consistently co-occur in interaction sequences, exemplifying how learners tend to provide scaffolded support and co-construct knowledge online. This study shows how learners can develop both their learning and language ability as a scaffolded, dialogic process within an online social networking environment when having access to a combination of information and learning resources.

An Efficient & Secure Content Contribution and Retrieval content in Online Social Networks using Level-level Security Optimization & Content Visualization Algorithm

<span lang="EN-US">Online Social Networks (OSNs) is currently popular interactive media to establish the communication, share and disseminate a considerable amount of human life data. Daily and continuous communications imply the exchange of several types of content, including free text, image, audio, and video data. Security is one of the friction points that emerge when communications get mediated in Online Social Networks (OSNs). However, there are no content-based preferences supported, and therefore it is not possible to prevent undesired messages. Providing the service is not only a matter of using previously defined web content mining and security techniques. To overcome the issues, Level-level Security Optimization & Content Visualization Algorithm is proposed to avoid the privacy issues during content sharing and data visualization. It adopts level by level privacy based on user requirement in the social network. It evaluates the privacy compatibility in the online social network environment to avoid security complexities. The mechanism divided into three parts namely like online social network platform creation, social network privacy, social network within organizational privacy and network controlling and authentication. Based on the experimental evaluation, a proposed method improves the privacy retrieval accuracy (PRA) 9.13% and reduces content retrieval time (CRT) 7 milliseconds and information loss (IL) 5.33%.</span>

Trust-based access control model from sociological approach in dynamic online social network environment.

There has been an explosive increase in the population of the OSN (online social network) in recent years. The OSN provides users with many opportunities to communicate among friends and family. Further, it facilitates developing new relationships with previously unknown people having similar beliefs or interests. However, the OSN can expose users to adverse effects such as privacy breaches, the disclosing of uncontrolled material, and the disseminating of false information. Traditional access control models such as MAC, DAC, and RBAC are applied to the OSN to address these problems. However, these models are not suitable for the dynamic OSN environment because user behavior in the OSN is unpredictable and static access control imposes a burden on the users to change the access control rules individually. We propose a dynamic trust-based access control for the OSN to address the problems of the traditional static access control. Moreover, we provide novel criteria to evaluate trust factors such as sociological approach and evaluate a method to calculate the dynamic trust values. The proposed method can monitor negative behavior and modify access permission levels dynamically to prevent the indiscriminate disclosure of information.

소셜 네트워크 환경에서 동적 신뢰 중심의 접근 제어 모델에 관한 연구

최근 10여 년간 온라인 소셜 네트워크(Online Social Network, OSN)의 사용인구가 폭발적으로 증가하고 있고 우리 생활에서 빼 놓을 수 없는 요소가 되었다. OSN은 개인뿐만 아니라, 그룹, 조직, 그리고 지정학적 위치, 시간적 제약조건까지 극복하는 시공을 초월한 사회적 관계의 확장을 가져오고 있다. 이러한 관계 및 정보공유의 확장은 사생활 노출, 무분별한 정보 공유, 거짓 정보의 전파 등 많은 부작용을 낳기도 한다. 이러한 부작용을 통제하기 위해 MAC, DAC, RBAC 등 기존의 접근제어 방법이 사용되었으나, 사용자 간의 접근 허용의 범위가 고정되어, 지속되는 관계 변경에 따른 접근 범위의 제한이 어렵고, 그러므로 변화하는 사용자의 악의적인 행동에 대한 대책이 미흡하다. 본 논문에서는 OSN 환경에 맞는 사용자간 동적 신뢰 중심의 접근제어 모델을 제안하여 사용자의 신뢰도의 변화에 따라 접근 권한을 변화시켜 사용자의 악의적인 행동 변화를 제어토록 하겠다. There has been an explosive increase in the population of OSN(online social network) for 10 years. OSN provides users with many opportunities to have communication among friends, families and goes so far as to make relationships among unknown people having similar belief or interest. However, OSN also produced adverse effects such as privacy breaches, leaking uncontrolled information or disseminating false information. Access control models such as MAC, DAC, RBAC are applied to the OSN to control those problems but those models in OSN are not fit in dynamic OSN environment because user's acts in OSN are unpredictable and static access control imposes burden on users to change access control rules one by one. This paper proposes the dynamic trust-based access control to solve the problems of traditional static access control in OSN.

Online social networks and leadership

Purpose – The purpose of this paper is to examine the role of online social networks in experiencing a change in working environment of today's leaders. Design/methodology/approach – The study's participants were managers, directors and CEOs working in different organizations (including Fortune 500 companies) in the USA, the UK, Germany, France, Russian Federation, Australia and China. The data were collected through structured surveys delivered through LinkedIn to the managers, directors and CEOs. A total of 115 matched questionnaires were returned. Statistical analysis, using STATA software, was conducted to assess the research results. Findings – The results indicate that the importance of online social networking environment is growing. Furthermore the study shows that online social networks are more useful for participative and consultative leadership style on social networking platforms than for directive leadership style. A higher number of activities on social networks by leaders is positively associated with the higher number of platforms used by leaders for business purposes. It is also correlated with a lower percentage of people from the same organization in the leader's contacts. Finally, the findings also show that the usefulness of online social networks as a tool supporting leadership, depends on the number of activities, number of platforms and size of the company. Surprisingly, age is not a predictor of the usefulness of online social networks. Practical implications – Leaders that seek ways in which to foster their leadership, need to recognize the importance of online social networking environment and the possibilities of using online relations in various aspects of authentic and situational leadership. Originality/value – This research provides knowledge regarding the usage of online social networks by many different leaders all over the world and suggests that a new generation of leaders will have to adjust to new working environment.

Understanding Chinese users’ continuance intention toward online social networks: an integrative theoretical model

This study explores users’ continuance intention in online social networks by synthesizing Bhattacherjee’s IS continuance theory with flow theory, social capital theory, and the unified theory of acceptance and use of technology (UTAUT) to consider the special hedonic, social and utilitarian factors in the online social network environment. The integrated model was empirically tested with 320 online social network users in China. The results indicated that continuance intention was explained substantially by all hypothesized antecedents including perceived enjoyment, perceived usefulness, usage satisfaction, effort expectancy, social influence, tie strength, shared norms and trust. Based on the research findings, we offer discussions of both theoretical and practical implications.

The Moderating Effects of Privacy Restrictiveness and Experience on Trusting Beliefs and Habit: An Empirical Test of Intention to Continue Using a Social Networking Website

While some online social networking (OSN) websites, such as Facebook, have reported sustained growth, others, such as Bebo, have not. This study investigates the factors that influence users' intentions to continue using these websites. We adapt the theory of reasoned action and develop a model depicting how trusting beliefs, habit, attitude, and subjective norm lead to continuance intention. We propose that trusting beliefs and habit will have differential effects depending on the levels of privacy restrictiveness and site experience. An analysis of data collected from Facebook users shows that the effects of trusting beliefs on continuance intention diminish as OSN users become more experienced, yet, do not diminish when users set privacy controls high. The latter finding contradicts theory positing control and trusting beliefs are substitutes. The finding that the trusting belief-continuance intention relationship is not significant when experience is high demonstrates that trusting beliefs and experience interact. We also show that habit is a stronger predictor when users restrict their personal information. However, contrary to predictions, habit shapes intention among users with both high and low experience. These findings explain how habit and trusting beliefs predict continuance intention in the new OSN environment and have both practical and research implications.

Facilitating Social Networking within the Student Experience

Informed by a mature research base on what enhances the student experience, knowledge of the nature of the contemporary student and advances in technology and internet use, we can explore the potential to further evolve socialisation as part of the student experience. This paper reports on the evaluation and introduction of what has become known as ‘online social networking’ as one of the ways in which students can become ‘socialised’ within their university environment. The aim was to provide an educationally focused online social networking environment that is serious in its purpose and objectives, but which retains the user attractiveness of the major general purpose social networking systems. The range of technology options available is discussed and conclusions are drawn which indicate that a successful form of educational online social networking can be established with very simple technology.

Avoidance of Advertising in Social Networking Sites

ABSTRACTTechnology has provided consumers with the means to control and edit the information that they receive and share effectively, especially in the online environment. Although previous studies have investigated advertising avoidance in traditional media and on the Internet, there has been little investigation of advertising on social networking sites. This exploratory study examines the antecedents of advertising avoidance on online social networking sites, leading to the development of a model. The model suggests that advertising in the online social networking environment is more likely to be avoided if the user has expectations of a negative experience, the advertising is not relevant to the user, the user is skeptical toward the advertising message, or the consumer is skeptical toward the advertising medium.