Rapid advancements in mobile computing and communication technology and recent technological progress have opened up a plethora of opportunities. These advancements have expanded knowledge, facilitated global business, enhanced collaboration, and connected people through various digital media platforms. While these virtual platforms have provided new avenues for communication and self-expression, they also pose significant threats to our privacy. As a result, we must remain vigilant against the propagation of electronic violence through social networks. Cyberbullying has emerged as a particularly concerning form of online harassment and bullying, with instances of racism, terrorism, and various types of trolling becoming increasingly prevalent worldwide. Addressing the issue of cyberbullying to find effective solutions is a challenge for the web mining community, particularly within the realm of social media. In this context, artificial intelligence (AI) can serve as a valuable tool in combating the diverse manifestations of cyberbullying on the Internet and social networks. This book presents the latest cutting-edge research, theoretical methods, and novel applications in AI techniques to combat cyberbullying. Discussing new models, practical solutions, and technological advances related to detecting and analyzing cyberbullying is based on AI models and other related techniques. Furthermore, the book helps readers understand AI techniques to combat cyberbullying systematically and forthrightly, as well as future insights and the societal and technical aspects of natural language processing (NLP)-based cyberbullying research efforts. Key Features: Proposes new models, practical solutions and technological advances related to machine intelligence techniques for detecting cyberbullying across multiple social media platforms. Combines both theory and practice so that readers (beginners or experts) of this book can find both a description of the concepts and context related to the machine intelligence. Includes many case studies and applications of machine intelligence for combating cyberbullying.

In the modern healthcare system, a pervasive problem takes new shape as cyberbullying. Healthcare professionals, those dedicated to caring for the well-being of others, are increasingly falling victim to online harassment, intimidation, and harmful behavior. This corrosive issue disrupts team dynamics, undermines workplace culture, and poses severe psychological and emotional consequences for its targets. Academic scholars and healthcare decision-makers must grapple with the pressing need to address this burgeoning crisis. Workplace Cyberbullying and Behavior in Health Professions is a comprehensive and meticulously researched book that presents itself as the definitive solution to the ever-growing challenge of cyberbullying within healthcare. This book is aimed at postgraduate and post-doctorate researchers as well as policymakers, providing a solid foundation for understanding, addressing, and ultimately eliminating cyberbullying in healthcare environments.

This book introduces and presents the newest up-to-date methods, approaches and technologies on how to detect child cyberbullying on social media as well as monitor kids E-learning, monitor games designed and social media activities for kids. On a daily basis, children are exposed to harmful content online. There have been many attempts to resolve this issue by conducting methods based on rating and ranking as well as reviewing comments to show the relevancy of these videos to children; unfortunately, there still remains a lack of supervision on videos dedicated to kids. This book also introduces a new algorithm for content analysis against harmful information for kids. Furthermore, it establishes the goal to track useful information of kids and institutes detection of kid’s textual aggression through methods of machine and deep learning and natural language processing for a safer space for children on social media and online and to combat problems, such as lack of supervision, cyberbullying, kid’s exposure to harmful content. This book is beneficial to postgraduate students and researchers' concerns on recent methods and approaches to kids' cybersecurity.

A critical examination of efforts by social media companies—including Facebook, Twitter, Snapchat, and Instagram—to rein in cyberbullying by young users. High-profile cyberbullying cases often trigger exaggerated public concern about children's use of social media. Large companies like Facebook respond by pointing to their existing anti-bullying mechanisms or coordinate with nongovernmental organizations to organize anti-cyberbullying efforts. Do these attempts at self-regulation work? In this book, Tijana Milosevic examines the effectiveness of efforts by social media companies—including Facebook, Twitter, YouTube, Snapchat, and Instagram—to rein in cyberbullying by young users. Milosevic analyzes the anti-bullying policies of fourteen major social media companies, as recorded in companies' corporate documents, draws on interviews with company representatives and e-safety experts, and details the roles of nongovernmental organizations examining their ability to provide critical independent advice. She draws attention to lack of transparency in how companies handle bullying cases, emphasizing the need for a continuous independent evaluation of effectiveness of companies' mechanisms, especially from children's perspective. Milosevic argues that cyberbullying should be viewed in the context of children's rights and as part of the larger social problem of the culture of humiliation. Milosevic looks into five digital bullying cases related to suicides, examining the pressures on the social media companies involved, the nature of the public discussion, and subsequent government regulation that did not necessarily address the problem in a way that benefits children. She emphasizes the need not only for protection but also for participation and empowerment—for finding a way to protect the vulnerable while ensuring the child's right to participate in digital spaces.

This book presents a compilation of case studies from practitioners, educators, and researchers working in the area of digital violence, along with methodologies to prevent it using cyber security. The book contains three basic sections namely: the concept of digital violence in policy and practice; the impact of digital violence; and the implication of cyber security to curb such violence. The intention of this book is to equip researchers, practitioners, faculties, and students with critical, practical, and ethical resources to use cyber security and related technologies to help curb digital violence and to support victims. It brings about the needs of technological based education in order to combat gendered crimes like cyberbullying, body-shaming, and trolling that are a regular phenomenon on social media platforms. Topics include societal implications of cyber feminism; technology aided communication in education; cyber security and human rights; governance of cyber law through international laws; and understanding digital violence.

Due to the prevalence of social network service and social media, the problem of cyberbullying has risen to the forefront as a major social issue over the last decade. Internet hate, harassment, cyberstalking, cyberbullying—these terms, which were almost unknown 10 years ago—are in the everyday lexicon of all internet users. Unfortunately, it is becoming increasingly difficult to undertake continuous surveillance of websites as new ones are appearing daily. Methods for automatic detection and mitigation for online bullying have become necessary in order to protect the online user experience. Automatic Cyberbullying Detection: Emerging Research and Opportunities provides innovative insights into online bullying and methods of early identification, mitigation, and prevention of harassing speech and activity. Explanations and reasoning for each of these applied methods are provided as well as their pros and cons when applied to the language of online bullying. Also included are some generalizations of cyberbullying as a phenomenon and how to approach the problem from a practical technology-backed point of view. The content within this publication represents the work of deep learning, language modeling, and web mining. It is designed for academicians, social media moderators, IT consultants, programmers, education administrators, researchers, and professionals and covers topics centered on identification methods and mitigation of internet hate and online harassment.

Given users’ heavy reliance of modern communication technologies such as mobile and tablet devices, laptops, computers, and social media networks, workplace cyberbullying and online harassment have become escalating problems around the world. Organizations of all sizes and sectors (public and private) may encounter workplace cyberbullying within and outside the boundaries of physical offices. Workplace cyberbullying affects the entire company, as victims suffer from psychological trauma and mental health issues that can lead to anxiety and depression, which, in turn, can cause absenteeism, job turnover, and retaliation. Thus, businesses must develop effective strategies to prevent and resolve such issues from becoming too large to manage. The Handbook of Research on Cyberbullying and Online Harassment in the Workplace provides in-depth research that explores the theoretical and practical measures of managing bullying behaviors within an organization as well as the intervention strategies that should be employed. The book takes a look at bullying behavior across a variety of industries, including government and educational institutions, and examines social and legislative issues, policies and legal cases, the impact of online harassment and disruption of business processes and organizational culture, and prevention techniques. Featuring coverage on a broad range of topics such as sexual abuse and trolling, this book is ideally designed for business managers and executives, human resource managers, practitioners, policymakers, academicians, researchers, and students.