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Modern Socio-Technical Perspectives on Privacy
This open access book provides researchers and professionals with a foundational understanding of online privacy as well as insight into the socio-technical privacy issues that are most pertinent to modern information systems, covering several modern topics (e.g., privacy in social media, IoT) and underexplored areas (e.g., privacy accessibility, privacy for vulnerable populations, cross-cultural privacy). The book is structured in four parts, which follow after an introduction to privacy on both a technical and social level: Privacy Theory and Methods covers a range of theoretical lenses through which one can view the concept of privacy. The chapters in this part relate to modern privacy ph...
Regulating Social Network Sites
Drawing on rich, empirical case studies, this innovative book provides a contemporary and comprehensive exploration of the plural, dynamic and precarious processes, materials, practices, interventions and relationships on social network sites, and their resultant power effects, when copyright and data privacy rights are at stake.
Personalized Human-Computer Interaction
Personalized and adaptive systems employ user models to adapt content, services, interaction or navigation to individual users’ needs. User models can be inferred from implicitly observed information, such as the user’s interaction history or current location, or from explicitly entered information, such as user profile data or ratings. Applications of personalization include item recommendation, location-based services, learning assistance and the tailored selection of interaction modalities. With the transition from desktop computers to mobile devices and ubiquitous environments, the need for adapting to changing contexts is even more important. However, this also poses new challenges concerning privacy issues, user control, transparency, and explainability. In addition, user experience and other human factors are becoming increasingly important. This book describes foundations of user modeling, discusses user interaction as a basis for adaptivity, and showcases several personalization approaches in a variety of domains, including music recommendation, tourism, and accessible user interfaces.
Recommender Systems Handbook
This second edition of a well-received text, with 20 new chapters, presents a coherent and unified repository of recommender systems’ major concepts, theories, methodologies, trends, and challenges. A variety of real-world applications and detailed case studies are included. In addition to wholesale revision of the existing chapters, this edition includes new topics including: decision making and recommender systems, reciprocal recommender systems, recommender systems in social networks, mobile recommender systems, explanations for recommender systems, music recommender systems, cross-domain recommendations, privacy in recommender systems, and semantic-based recommender systems. This multi...
Social Information Access
Social information access is defined as a stream of research that explores methods for organizing the past interactions of users in a community in order to provide future users with better access to information. Social information access covers a wide range of different technologies and strategies that operate on a different scale, which can range from a small closed corpus site to the whole Web. The 16 chapters included in this book provide a broad overview of modern research on social information access. In order to provide a balanced coverage, these chapters are organized by the main types of information access (i.e., social search, social navigation, and recommendation) and main sources of social information.
Soft Computing for Problem Solving
This two-volume book presents the outcomes of the 8th International Conference on Soft Computing for Problem Solving, SocProS 2018. This conference was a joint technical collaboration between the Soft Computing Research Society, Liverpool Hope University (UK), and Vellore Institute of Technology (India), and brought together researchers, engineers and practitioners to discuss thought-provoking developments and challenges in order to select potential future directions. The book highlights the latest advances and innovations in the interdisciplinary areas of soft computing, including original research papers on algorithms (artificial immune systems, artificial neural networks, genetic algorithms, genetic programming, and particle swarm optimization) and applications (control systems, data mining and clustering, finance, weather forecasting, game theory, business and forecasting applications). It offers a valuable resource for both young and experienced researchers dealing with complex and intricate real-world problems that are difficult to solve using traditional methods.
Curriculum and Teaching Dialogue
Curriculum and Teaching Dialogue is a peer-reviewed journal sponsored by the American Association for Teaching and Curriculum (AATC). The purpose of the journal is to promote the scholarly study of teaching and curriculum. The aim is to provide readers with knowledge and strategies of teaching and curriculum that can be used in educational settings. The journal is published annually in two volumes and includes traditional research papers, conceptual essays, as well as research outtakes and book reviews. Publication in CTD is always free to authors. Information about the journal is located on the AATC website http://aatchome.org/ and can be found on the Journal tab athttp://aatchome.org/about-ctd-journal/.
Recommender Systems: Legal and Ethical Issues
This open access contributed volume examines the ethical and legal foundations of (future) policies on recommender systems and offers a transdisciplinary approach to tackle important issues related to their development, use and integration into online eco-systems. This volume scrutinizes the values driving automated recommendations - what is important for an individual receiving the recommendation, the company on which that platform was received, and society at large might diverge. The volume addresses concerns about manipulation of individuals and risks for personal autonomy. From a legal perspective, the volume offers a much-needed evaluation of regulatory needs and lawmakers’ answers in...
Data Protection Law and Emotion
Data protection law is often positioned as a regulatory solution to the risks posed by computational systems. Despite the widespread adoption of data protection laws, however, there are those who remain sceptical as to their capacity to engender change. Much of this criticism focuses on our role as 'data subjects'. It has been demonstrated repeatedly that we lack the capacity to act in our own best interests and, what is more, that our decisions have negative impacts on others. Our decision-making limitations seem to be the inevitable by-product of the technological, social, and economic reality. Data protection law bakes in these limitations by providing frameworks for notions such as conse...
