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23 Geo. Mason L. Rev. 1129 (2015-2016)
Antitrust and Regulating Big Data

handle is hein.journals/gmlr23 and id is 1149 raw text is: 


2016]                                                                1129

         ANTITRUST AND REGULATING BIG DATA

                  D. Daniel Sokol* & Roisin Comerford*


INTRODUCTION

     The collection of user data online has seen enormous growth in recent
years. Consumers have benefitted from this growth through an increase in
free or heavily subsidized services, better quality offerings, and rapid inno-
vation. At the same time, the debate about Big Data, and what it really
means for consumers and competition, has grown louder. Many have fo-
cused on whether Big Data even presents an antitrust issue, and whether
and how harms resulting from Big Data should be analyzed and remedied
under the antitrust laws. The academic literature, however, has somewhat
lagged behind the policy debate, and a closer inspection of existing scholar-
ly works reveals a dearth of thorough study of the issue. Commentators
generally are split into two camps: one in favor of more proactive antitrust
enforcement in the Big Data realm, and one opposing such intervention,
considering antitrust inappropriate for regulation of Big Data. The academic
case for the former has not, as yet, been fully developed, and is relatively
light at present. Meanwhile, policy-focused work by academics and practi-
tioners in this arena suggests that antitrust intervention in Big Data would
be premature and misguided, especially considering the myriad pro-
competitive benefits offered by Big Data.
      This article reviews the scholarly work on the implications of Big Data
 on competition, and considers the potential role of antitrust in the regulation
 of Big Data. Part I provides an overview of the scarce, academic literature
 specifically addressing the role of antitrust in Big Data issues. Parts II and
 III delve into the policy issues surrounding Big Data and whether it poses a
 risk to competition that warrants antitrust intervention. Part II details the
 ways in which Big Data may prove pro-competitive while Part III reviews
 and critiques the suggested potential harrms to competition from Big Data.
 Part IV discusses the suitability of antitrust as the institutional choice for
 Big Data issues, and Part V concludes that, at present, antitrust is ill suited
 as the institutional choice. Further, the scholarly case for such harm has not

         University of Florida Research Foundation Professor of Law, University of Florida and Senior
  Of Counsel, Wilson Sonsini Goodrich & Rosati.
      .  Associate, Wilson Sonsini Goodrich & Rosati, P.C. This article was not funded by any current
  or potential client. Its contents are our personal views only. This article is also based on D. Daniel Sokol
  & Roisin E. Comerford, Does Antitrust Have a Role to Play in Regulating Big Data?, in CAMBRIDGE
  HANDBOOK OF ANTITRUST, INTELLECTUAL PROPERTY AND HIGH TECH (Roger D. Blair & D. Daniel
  Sokol eds.) (forthcoming 2017).