Artificial intelligence has been utilized in a diverse range of industries as more people and businesses discover its many uses and applications. A current field of study that requires more attention, as there is much opportunity for improvement, is the use of artificial intelligence within literary works and social media analysis. Artificial Intelligence Applications in Literary Works and Social Media presents contemporary developments in the adoption of artificial intelligence in textual analysis of literary works and social media and introduces current approaches, techniques, and practices in data science that are implemented to scrap and analyze text data. This book initiates a new multidisciplinary field that is the combination of artificial intelligence, data science, social science, literature, and social media study. Covering key topics such as opinion mining, sentiment analysis, and machine learning, this reference work is ideal for computer scientists, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.

Facebook had a problem. Along with its sister platforms Instagram and WhatsApp, it was a daily destination for billions of users around the world, extolling its products for connecting people. But as a succession of scandals rocked Facebook from 2016, some began to question whether the company could control, or even understood, its own platforms.

As Facebook employees searched for answers, what they uncovered was worse than they could've imagined. The problems ran far deeper than politics. Facebook was peddling and amplifying anger, looking the other way at human trafficking, enabling drug cartels and authoritarians and allowing VIP users to break the platform's supposedly inviolable rules.

It turned out to be eminently possible to isolate many of Facebook's worst problems, but whenever employees offered solutions their work was consistently delayed, watered down or stifled by a company that valued user engagement above all else. The only option left was to blow the whistle.

In Broken Code, award-winning Wall Street Journal reporter Jeff Horwitz tells the riveting inside story of these employees and their explosive discoveries, uncovering the shocking cost of Facebook's blind ambition in the process.

The lead singer on Supercell's eponymous first album is Hatsune Miku-a Vocaloid character created by Crypton Future Media with voice synthesizers. A virtual superstar, over 100,000 songs, uploaded mostly by fans, are attributed to her. Supercell is a Japanese creator music group with the composer Ryo leading ten artists, who design album illustrations and make music videos. These videos are uploaded onto Niconico and other video-sharing sites. By the time Supercell was released in March 2009, the group's Vocaloid works were already well-known to Niconico users and fans. This book explores the Vocaloid and DTM (desktop music) phenomena through the lenses of media and fan studies, looking closely at online social media platforms, the new technology for composing, avid fans of the Vocaloid character, and these fans' performative practices. It provides a sense of how interactive new media and an empowered fan base combine to engage in the creation processes and enhance the circulation of DTM works. 33 1/3 Global, a series related to but independent from 33 1/3, takes the format of the original series of short, music-basedbooks and brings the focus to music throughout the world. With initial volumes focusing on Japanese and Brazilian music, the series will also include volumes on the popular music of Australia/Oceania, Europe, Africa, the Middle East, and more.

Cyber-attacks are rapidly becoming one of the most prevalent issues globally, and as they continue to escalate, it is imperative to explore new approaches and technologies that help ensure the security of the online community. Beyond cyber-attacks, personal information is now routinely and exclusively housed in cloud-based systems. The rising use of information technologies requires stronger information security and system procedures to reduce the risk of information breaches. Advanced Methodologies and Technologies in System Security, Information Privacy, and Forensics presents emerging research and methods on preventing information breaches and further securing system networks. While highlighting the rising concerns in information privacy and system security, this book explores the cutting-edge methods combatting digital risks and cyber threats. This book is an important resource for information technology professionals, cybercrime researchers, network analysts, government agencies, business professionals, academicians, and practitioners seeking the most up-to-date information and methodologies on cybercrime, digital terrorism, network security, and information technology ethics.

In the modern era each new innovation poses its own special ethical dilemma. How can human society adapt to these new forms of expression, commerce, government, citizenship, and learning while holding onto its ethical and moral principles? The Changing Scope of Technoethics in Contemporary Society is a critical scholarly resource that examines the existing intellectual platform within the field of technoethics. Featuring coverage on a broad range of topics such as ethical perspectives on internet safety, technoscience, and ethical hacking communication, this book is geared towards academicians, researchers, and students seeking current research on domains of technoethics.

Computers and the Internet are an undeniable and inextricable part of our daily lives. This book is for those who wish to better understand how this came to be. It explores the technological bases of computers, networks, software and data management, leading to the development of four pillars on which the essential applications that have a strong impact on individuals and society are based: embedded systems, Artificial Intelligence, the Internet, image processing and vision. We will travel to the heart of major application areas: robotics, virtual reality, health, mobility, energy, the factory of the future, not forgetting the major questions that this digitization can raise. This book is the author s testimony after fifty years spent in environments that are very open to new technologies. It offers perspectives on the evolution of the digital world that we live in.

As a popular and powerful medium, mobile use has increased significantly across the world. The effects of these communication devices have not only transformed how we communicate but also how we gather and distribute information in a variety of industries including healthcare, business, and education. Impacts of Mobile Use and Experience on Contemporary Society provides cross-disciplinary research that examines mobile use and its impact through 16 different stages of life, ranging from pre-birth through after-death. Featuring research on topics such as academic application, economic value, and mobile learning, scholars from different disciplines identify the crucial implications behind one of the leading communication tools from all over the world. Included amongst the targeted audience are educators, policymakers, healthcare professionals, managers, academicians, researchers, and practitioners.

The Dark Web is a known hub that hosts myriad illegal activities behind the veil of anonymity for its users. For years now, law enforcement has been struggling to track these illicit activities and put them to an end. However, the depth and anonymity of the Dark Web has made these efforts difficult, and as cyber criminals have more advanced technologies available to them, the struggle appears to only have the potential to worsen. Law enforcement and government organizations also have emerging technologies on their side, however. It is essential for these organizations to stay up to date on these emerging technologies, such as computational intelligence, in order to put a stop to the illicit activities and behaviors presented in the Dark Web. Using Computational Intelligence for the Dark Web and Illicit Behavior Detection presents the emerging technologies and applications of computational intelligence for the law enforcement of the Dark Web. It features analysis into cybercrime data, examples of the application of computational intelligence in the Dark Web, and provides future opportunities for growth in this field. Covering topics such as cyber threat detection, crime prediction, and keyword extraction, this premier reference source is an essential resource for government organizations, law enforcement agencies, non-profit organizations, politicians, computer scientists, researchers, students, and academicians.

With exponentially increasing amounts of data accumulating in real-time, there is no reason why one should not turn data into a competitive advantage. While machine learning, driven by advancements in artificial intelligence, has made great strides, it has not been able to surpass a number of challenges that still prevail in the way of better success. Such limitations as the lack of better methods, deeper understanding of problems, and advanced tools are hindering progress. Challenges and Applications of Data Analytics in Social Perspectives provides innovative insights into the prevailing challenges in data analytics and its application on social media and focuses on various machine learning and deep learning techniques in improving practice and research. The content within this publication examines topics that include collaborative filtering, data visualization, and edge computing. It provides research ideal for data scientists, data analysts, IT specialists, website designers, e-commerce professionals, government officials, software engineers, social media analysts, industry professionals, academicians, researchers, and students.

The representation of abstract data and ideas can be a difficult and tedious task to handle when learning new concepts; however, the advances in emerging technology have allowed for new methods of representing such conceptual data. Information Visualization Techniques in the Social Sciences and Humanities is a critical scholarly resource that examines the application of information visualization in the social sciences and humanities. Featuring coverage on a broad range of topics such as social network analysis, complex systems, and visualization aesthetics, this book is geared towards professionals, students, and researchers seeking current research on information visualization.