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| Autores principales: | , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2411.01242 |
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| _version_ | 1866909376088899584 |
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| author | Santos, Guilherme Soares S. dos Figueiredo, Flavio |
| author_facet | Santos, Guilherme Soares S. dos Figueiredo, Flavio |
| contents | Music digitalization has introduced new forms of composition known as "musical borrowings", where composers use elements of existing songs -- such as melodies, lyrics, or beats -- to create new songs. Using Who Sampled data and Google Trends, we examine how the popularity of a borrowing song affects the original. Employing Regression Discontinuity Design (RDD) for short-term effects and Granger Causality for long-term impacts, we find evidence of causal popularity boosts in some cases. Borrowee songs can revive interest in older tracks, underscoring economic dynamics that may support fairer compensation in the music industry. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_01242 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Assessing the Impact of Sampling, Remixes, and Covers on Original Song Popularity Santos, Guilherme Soares S. dos Figueiredo, Flavio Social and Information Networks Music digitalization has introduced new forms of composition known as "musical borrowings", where composers use elements of existing songs -- such as melodies, lyrics, or beats -- to create new songs. Using Who Sampled data and Google Trends, we examine how the popularity of a borrowing song affects the original. Employing Regression Discontinuity Design (RDD) for short-term effects and Granger Causality for long-term impacts, we find evidence of causal popularity boosts in some cases. Borrowee songs can revive interest in older tracks, underscoring economic dynamics that may support fairer compensation in the music industry. |
| title | Assessing the Impact of Sampling, Remixes, and Covers on Original Song Popularity |
| topic | Social and Information Networks |
| url | https://arxiv.org/abs/2411.01242 |