Titlebook: An Economic Approach to the Plagiarism of Music; Samuel Cameron Book 2020 The Editor(s) (if applicable) and The Author(s), under exclusive

Instinctive

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https://doi.org/10.1007/978-3-662-35265-6 theoretical idea of ‘death of the author’ and socialist principles. The role of expert testimony versus AI-style metrics in detecting academic plagiarism is discussed and the greater difficulty of reaching unambiguous decisions in musical cases is highlighted. The decision to plagiarise in terms of

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https://doi.org/10.1007/978-3-662-26144-6. We then move on to look at the defences of subconscious musical plagiarism and the use of quotation as a form of parody which is legally allowed in many countries. There is a specific discussion of Weird Al Yankovic and some lesser known serial parodists. The importance of the ‘vexatious litigant’

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Die Mückenplage und ihre Bek?mpfungion claims are enumerated. The various meanings of an audio ‘sample’ are explained and a brief technical history of the development of sampling methods is given. This leads into the case for ‘loop based composition’ as a valid alternative to traditional composition which can equally be ‘transformati

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https://doi.org/10.1007/978-3-322-85152-9tating changes in the law per se is critiqued with reference to the views of the originators of the much used concept of ‘disruptive innovation’. A variety of evidence is considered from those who claim current law is inefficient and requires a change to suitably accommodate the challenges of new te

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An Economic Approach to the Plagiarism of Music978-3-030-42109-0Series ISSN 2662-4478 Series E-ISSN 2662-4486

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harbinger

978-3-030-42111-3The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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Samuel CameronExplores the economic analysis of plagiarism in music.Disentangles the economic, legal, ethical and social efficiency aspects of music plagiarism.Discusses key modern cases, in the post rock and roll

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Cultural Economics & the Creative Economyhttp://image.papertrans.cn/a/image/154921.jpg