This book is an economic analysis of plagiarism in music, focusing on social efficiency and questions of inequity in the revenue of authors/artists. The organisation into central chapters on the traditional literary aspect of composition and the technocratic problem of ‘sampling’ will help clarify disputes about social efficiency and equity. It will also be extremely helpful as an expository method where the text is used in courses on the music business. These issues have been explored to a great extent in other areas of musical content—notably piracy, copying and streaming. Therefore it is extremely helpful to exclude consumer use of musical content from the discussion to focus solely on the production side. This book also looks at the policy options in terms of the welfare economics of policy analysis.

This book is an economic analysis of plagiarism in music, focusing on social efficiency and questions of inequity in the revenue of authors/artists. The organisation into central chapters on the traditional literary aspect of composition and the technocratic problem of ‘sampling’ will help clarify disputes about social efficiency and equity. It will also be extremely helpful as an expository method where the text is used in courses on the music business. These issues have been explored to a great extent in other areas of musical content—notably piracy, copying and streaming. Therefore it is extremely helpful to exclude consumer use of musical content from the discussion to focus solely on the production side. This book also looks at the policy options in terms of the welfare economics of policy analysis.

Is it ever appropriate to “borrow” culturally inspired ideas? Who has ownership over intangible culture? What role does power inequality play? These questions are often at the center of heated public debates around cultural appropriation, with new controversies breaking seemingly every day. Cultural Appropriation in Fashion and Entertainment offers a sociological perspective on the debate, exploring appropriation of cultures embedded in race, ethnicity, class, sexuality, and religion in entertainment as well as the clothing, textiles, jewelry, accessories, hairstyles, and tattoos we wear. Case studies are drawn from K-pop, Bollywood dance, J-pop, Bhangra music, Jamaican reggae, hip hop and EDM fashion to explore how, when, and why cultural borrowing or appreciation can become cultural appropriation. There's also discussion of subcultural territories that extend beyond geography, race and ethnicity, such as cosplay and LGBTQI+ communities. By providing a range of global perspectives on the adoption, adaptation, and application of both tangible and intangible cultural objects, Kawamura and de Jong help move the conversation beyond simply criticizing designers and creators to encourage nuanced discussion and raise awareness of diverse cultures in the creative industries.

Much recent economic work on the music industry has been focused on the impact of technology on demand, with predictions being made of digital copyright infringement leading to the demise of the industry. In fact, there have always been profound cyclical swings in music media sales owing to the fact that music always has been, and continues to be, a discretionary purchase. This entertaining and accessible book offers an analysis of the production and consumption of music from a social economics approach. Locating music within the economic analysis of social behaviour, this books guides the reader through issues relating to production, supply, consumption and trends, wider considerations such as the international trade in music, and in particular through divisions of age, race and gender. Providing an engaging overview of this fascinating topic, this book will be of interest and relevance to students and scholars of cultural economics, management, musicology, cultural studies and those with an interest in the music industry more generally.

A concise, lively, and bracing exploration of an issue bedeviling our cultural landscape–plagiarism in literature, academia, music, art, and film–by one of our most influential and controversial legal scholars. Best-selling novelists J. K. Rowling and Dan Brown, popular historians Doris Kearns Goodwin and Stephen Ambrose, Harvard law professor Charles Ogletree, first novelist Kaavya Viswanathan: all have rightly or wrongly been accused of plagiarism–theft of intellectual property–provoking widespread media punditry. But what exactly is plagiarism? How has the meaning of this notoriously ambiguous term changed over time as a consequence of historical and cultural transformations? Is the practice on the rise, or just more easily detectable by technological advances? How does the current market for expressive goods inform our own understanding of plagiarism? Is there really such a thing as “cryptomnesia,” the unconscious, unintentional appropriation of another’s work? What are the mysterious motives and curious excuses of plagiarists? What forms of punishment and absolution does this “sin” elicit? What is the good in certain types of plagiarism? Provocative, insightful, and extraordinary for its clarity and forthrightness, The Little Book of Plagiarism is an analytical tour de force in small, the work of “one of the top twenty legal thinkers in America” (Legal Affairs), a distinguished jurist renowned for his adventuresome intellect and daring iconoclasm.

This book is a survey and analysis of how deep learning can be used to generate musical content. The authors offer a comprehensive presentation of the foundations of deep learning techniques for music generation. They also develop a conceptual framework used to classify and analyze various types of architecture, encoding models, generation strategies, and ways to control the generation. The five dimensions of this framework are: objective (the kind of musical content to be generated, e.g., melody, accompaniment); representation (the musical elements to be considered and how to encode them, e.g., chord, silence, piano roll, one-hot encoding); architecture (the structure organizing neurons, their connexions, and the flow of their activations, e.g., feedforward, recurrent, variational autoencoder); challenge (the desired properties and issues, e.g., variability, incrementality, adaptability); and strategy (the way to model and control the process of generation, e.g., single-step feedforward, iterative feedforward, decoder feedforward, sampling). To illustrate the possible design decisions and to allow comparison and correlation analysis they analyze and classify more than 40 systems, and they discuss important open challenges such as interactivity, originality, and structure. The authors have extensive knowledge and experience in all related research, technical, performance, and business aspects. The book is suitable for students, practitioners, and researchers in the artificial intelligence, machine learning, and music creation domains. The reader does not require any prior knowledge about artificial neural networks, deep learning, or computer music. The text is fully supported with a comprehensive table of acronyms, bibliography, glossary, and index, and supplementary material is available from the authors' website.