With the prevalence of social media, businesses and other organizations have a growing need to utilize various online media platforms and sites to engage and interact with their potential consumer base. Virtual communities and social networking can provide an effective escape route from the limits imposed by traditional media. Using optimal strategies can lead to more successful outcomes when using these platforms. Modern Perspectives on Virtual Communications and Social Networking provides innovative insights into connection and conversation through internet media that foster trust, commitment, and transparency in business. The content within this publication represents the potential to create virtual bonds with consumers through the observation of buying behavior, social media best practices, and digital marketing strategies. It is designed for business professionals, academicians, consultants, managers, marketers, and researchers and covers topics centered on the use of online media as a method of reaching a wider population.

Social networks are a nearly universal element of modern, information-driven societies, one that presents many opportunities and advantages—and challenges and hazards—for organizations as well as individuals. Studies in Virtual Communities, Blogs, and Modern Social Networking: Measurements, Analysis, and Investigations provides a cross-cultural perspective of social networking, including ethical considerations and business implications. Readers will find a detailed treatment of technical, social, and legal issues inherent in online virtual communities, exploring methods of effectively implementing the latest social tools in their everyday practices, both professional and personal, in the interest of improved security and sustainability in digital collaborative environments.

Researchers have harnessed the flood of personal information and opinions shared on social media platforms in a variety of ways. People communicate not only what they imagine they are purposely sharing but also unintentionally leak information, which allows others to glimpse a sense of the subconscious and unconscious at a macro level. Electronic Hive Minds on Social Media: Emerging Research and Opportunities explores various research techniques to profile the electronic hive mind around social topics as expressed on various modalities of social media, from human, bot, and cyborg social media accounts, and proposes new research methods for harnessing public data from social media platforms. Highlighting topics such as knowledge sharing, swarm intelligence, and social psychology, this publication is designed for researchers, social psychologists, practitioners, and students in marketing, communications, mass media, and similar fields.

Social media has revolutionized how individuals, communities, and organizations create, share, and consume information. Similarly, social media offers numerous opportunities as well as enormous social and economic ills for individuals, communities, and organizations. Despite the increase in popularity of social networking sites and related digital media, there are limited data and studies on consumption patterns of the new media by different global communities. Analyzing Global Social Media Consumption is an essential reference book that investigates the current trends, practices, and newly emerging narratives on theoretical and empirical research on all aspects of social media and its global use. Covering topics that include fake news detection, social media addiction, and motivations and impacts of social media use, this book is ideal for big data analysts, media and communications experts, researchers, academicians, and students in media and communications, information systems, and information technology study programs.

Much of the world has access to internet and social media. The internet has quickly become a new hub for not only communication, but also community development. In most communities, people develop new cultural norms and identity development through social media usage. However, while these new lines of communication are helpful to many, challenges such as social media addiction, cyberbullying, and misinformation lurk on the internet and threaten forces both within and beyond the internet. The Research Anthology on Usage, Identity, and Impact of Social Media on Society and Culture is a comprehensive resource on the impact social media has on an individuals’ identity formation as well as its usage within society and cultures. It explores new research methodologies and findings into the behavior of users on social media as well as the effects of social media on society and culture as a whole. Covering topics such as cultural diversity, online deception, and youth impact, this major reference work is an essential resource for computer scientists, online community moderators, sociologists, business leaders and managers, marketers, advertising agencies, government officials, libraries, students and faculty of higher education, researchers, and academicians.

This book is a comprehensive and insightful exploration of how social media, ubiquitous in modern life, is shaping the mental health of today's youth. It addresses both the negative effects and positive aspects of these digital platforms, offering a balanced and research-based view. With a focus on anxiety, depression and self-esteem, the book not only identifies problems but also suggests strategies for healthier use of social networks. It is essential reading for educators, parents and youth, providing critical insights and tools for navigating an increasingly digitally connected world. This in-depth analysis is key to understanding and mitigating the psychological risks associated with social networks, while harnessing their benefits for the well-being and social development of young people.

Link prediction is required to understand the evolutionary theory of computing for different social networks. However, the stochastic growth of the social network leads to various challenges in identifying hidden links, such as representation of graph, distinction between spurious and missing links, selection of link prediction techniques comprised of network features, and identification of network types. Hidden Link Prediction in Stochastic Social Networks concentrates on the foremost techniques of hidden link predictions in stochastic social networks including methods and approaches that involve similarity index techniques, matrix factorization, reinforcement, models, and graph representations and community detections. The book also includes miscellaneous methods of different modalities in deep learning, agent-driven AI techniques, and automata-driven systems and will improve the understanding and development of automated machine learning systems for supervised, unsupervised, and recommendation-driven learning systems. It is intended for use by data scientists, technology developers, professionals, students, and researchers.