The eBooks we sell are sold as a single-user licence and are intended for the end user only.
The sale of some eBooks are restricted to certain countries. To alert you to such restrictions, please select the country of the billing address of your credit or debit card you wish to use for payment.
For further information see https://www.wildy.com/ebook-formats
Once the order is confirmed an e-mail will be sent to you to allow you to download the eBook. For UK purchases this will be automatic. For purchases outside the UK a member of staff will need to confirm the sale. (Staff are available to do this during normal business hours, Mon-Fri 8:30-17:00 UK time)
All eBooks are supplied firm sale and cannot be returned. If you believe there is a fault with your eBook then contact us on ebooks@wildy.com and we will help in resolving the issue. This does not affect your statutory rights.
Due to a technical issue some ebooks are not available to order.
The automated filtering of upload attempts to online platforms is one of the most contentious issues in the fields of copyright enforcement and platform regulation. Notwithstanding the impassioned debate, research from a law and economics perspective is scarce.
This book presents the first comprehensive economic analysis of automated copyright filtering. The author develops an economic model of the competition between right holders and copyright-infringing uploaders on a platform. Furthermore, he applies insights from the economic literature on decision-making under uncertainty and incentive alignment to automated copyright filtering.
The analysis disentangles complex relationships and challenges prevailing assumptions. It offers a novel perspective on the implications of automated filtering for the objectives of copyright policy, on the avoidance of erroneous filtering decisions, and on regulatory approaches to automated filtering. The author employs his findings to evaluate the current US and EU legal frameworks and proposes improvements.
This book will appeal to researchers and policy makers interested in automated filtering, copyright enforcement, and platform regulation.
