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Algorithmic copyright enforcement on YouTube: Using machine learning to understand automated decision-making at scale

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  • معلومة اضافية
    • بيانات النشر:
      Association of Internet Researchers (AoIR)
    • الموضوع:
      2019
    • Collection:
      Queensland University of Technology: QUT ePrints
    • نبذة مختصرة :
      This paper presents the results of an investigation of algorithmic copyright enforcement on YouTube. We use digital and computational methods to help understand the operation of automated decision-making at scale. We argue that in order to understand complex, automated systems, we require new methods and research infrastructure to understand their operation at scale, over time, and across platforms and jurisdictions.
    • File Description:
      application/pdf
    • Relation:
      https://eprints.qut.edu.au/133437/1/2019%20AoIR%20Staydown.pdf; Gray, Joanne & Suzor, Nicolas P. (2019) Algorithmic copyright enforcement on YouTube: Using machine learning to understand automated decision-making at scale. In Selected Papers in Internet Research 2019 - 20th Annual Conference of the Association of Internet Researchers. Association of Internet Researchers (AoIR), Australia.; https://eprints.qut.edu.au/133437/; Faculty of Law; Creative Industries Faculty; School of Law
    • الدخول الالكتروني :
      https://eprints.qut.edu.au/133437/
    • Rights:
      free_to_read ; The Author(s) ; This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au
    • الرقم المعرف:
      edsbas.399BAAE6