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Studies > Data analysis method: Quantitative content analysis (e.g. text or data mining) & Evidence Based Policies: F. Enforcement (quantifying infringement; criminal sanctions; intermediary liability; graduated response; litigation and court data; commercial/non-commercial distinction; education and awareness)

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Amedeo Piolatto acknowledges financial support from IVIE, the Spanish Ministry of Science and Innovation (Grant ECO2009-12680), the Barcelona GS Research Network and the Generalitat de Catalunya (Grant 2009 SGR 102). (1) · Creative Content Australia (1) · European Commission (2) · GE Endowed Professor Fund (1) · German Institute for Economic Research (1) · Google Inc. (1) · I-CORE Program of the Planning and Budgeting Committee (1) · IPO (1) · Israeli Internet Association (1) · NBC Universal (1) · None (1) · Not stated (2) · Portuguese Foundation of Science and Technology (1) · Portuguese Science and Technology Foundation (1) · Shenkman Family Endowed Chair fund (1) · The Office for Harmonization in the Internal market (1) · The authors acknowledge the George Mason University’s Center for the Protection of Intellectual Property and its Leonardo da Vinci Research (1) · The second author has benefited from the visit to the Institute of Innovation Research of Hitotsubashi University, whose generous provision of research opportunity is gratefully acknowledged (1) · This research was funded in part by a PSCCUNY grant #67792-00-36 and a Doctoral Student Research Grant from the CUNY Graduate Center. (1) · This research was part of the multicountry research project 'Towards a Detente in Media Piracy' undertaken by the Association for Progressive Communications (ACP) and supported bu the Social Science Research Council (SSRC), New York (1) · Treibick Electronic Commerce Initiative (1) · WIPO (1) · World Intellectual Property Organization (2) · de Thuiskopie (1) · the Sloan Foundation (1) · ∗Support for this research by NBER’s Economics of Digitization and Copyright Initiative is gratefully acknowledged. (1)

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