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Justification of the behavior regulatory pattern on data scraping
توجیه الگوی تنظیمی رفتار در خراش داده ها-2020 While the increasing importance of public data calls for urgent attention and effective protection, legislatures and courts are currently divided on the regulatory patterns between entitlement regulatory pattern and behavior regulatory pattern, leaving a dim boundary for data scraping. Data regulation is contextual and multi-dimensional. The business investment of platforms should be respected in an appropriate way. However, the benefit of granting an exclusive right to data is not appropriate to the cost of inhibiting access. Based on the dynamic nature of data competition and contextual nature of data regulation, this article argues that the behavior regulatory pattern adopting a multifactor approach is the best solution for defining the boundary of data scraping, provided the factors can be carefully tailored.© 2021 Wei Liu and Ping Chen. Published by Elsevier Ltd. All rights reserved. Keywords: Data scraping | Unfair competition | Preemption | Contextual | Multiple factors |
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