DAVID, Ivan and Rudolf LEŠKA. PLAYING THE SYSTEM: CONTENT RECOGNITION TECHNOLOGIES AND CREATIVE PROCESS OF SAMPLING MUSICIANS. Masaryk University Journal of Law and Technology. Brno: Masarykova univerzita, 2023, vol. 17, No 1, p. 129-147. ISSN 1802-5943. Available from: https://dx.doi.org/10.5817/MUJLT2023-1-5. |
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@article{56707, author = {David, Ivan and Leška, Rudolf}, article_location = {Brno}, article_number = {1}, doi = {http://dx.doi.org/10.5817/MUJLT2023-1-5}, keywords = {Copyright; Bots; Technology; Sampling; Content Recognition}, language = {eng}, issn = {1802-5943}, journal = {Masaryk University Journal of Law and Technology}, title = {PLAYING THE SYSTEM: CONTENT RECOGNITION TECHNOLOGIES AND CREATIVE PROCESS OF SAMPLING MUSICIANS}, url = {https://journals.muni.cz/mujlt/article/view/33181}, volume = {17}, year = {2023} }
TY - JOUR ID - 56707 AU - David, Ivan - Leška, Rudolf PY - 2023 TI - PLAYING THE SYSTEM: CONTENT RECOGNITION TECHNOLOGIES AND CREATIVE PROCESS OF SAMPLING MUSICIANS JF - Masaryk University Journal of Law and Technology VL - 17 IS - 1 SP - 129-147 EP - 129-147 PB - Masarykova univerzita SN - 1802-5943 KW - Copyright KW - Bots KW - Technology KW - Sampling KW - Content Recognition UR - https://journals.muni.cz/mujlt/article/view/33181 N2 - The first part of the study summarizes the existing types of copyright bots. The second part presents the current state of legal research on the implementation of copyright bots and analysis which focuses on the Czech Supreme Court’s decision concerning copyright bots. The core of the paper concerns the impact of copyright bots on the work of sampling musicians and how the creativity of musicians is shaped by their struggle to avoid detection of sampled music by bots in the online environment. ER -
DAVID, Ivan and Rudolf LEŠKA. PLAYING THE SYSTEM: CONTENT RECOGNITION TECHNOLOGIES AND CREATIVE PROCESS OF SAMPLING MUSICIANS. \textit{Masaryk University Journal of Law and Technology}. Brno: Masarykova univerzita, 2023, vol.~17, No~1, p.~129-147. ISSN~1802-5943. Available from: https://dx.doi.org/10.5817/MUJLT2023-1-5.
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