Kane v. University of Rochester

CourtDistrict Court, W.D. New York
DecidedMarch 19, 2024
Docket6:23-cv-06027
StatusUnknown

This text of Kane v. University of Rochester (Kane v. University of Rochester) is published on Counsel Stack Legal Research, covering District Court, W.D. New York primary law. Counsel Stack provides free access to over 12 million legal documents including statutes, case law, regulations, and constitutions.

Bluebook
Kane v. University of Rochester, (W.D.N.Y. 2024).

Opinion

UNITED STATES DISTRICT COURT WESTERN DISTRICT OF NEW YORK

CAROL KANE and BONNIE WILSON, on behalf of themselves and all others similarly situated,

Plaintiffs, Case # 23-CV-6027-FPG

v. DECISION AND ORDER

UNIVERSITY OF ROCHESTER,

Defendant.

INTRODUCTION Plaintiffs Carol Kane and Bonnie Wilson bring this putative healthcare data privacy class action against the University of Rochester (“Defendant”). See generally ECF No. 8. Plaintiffs’ claims arise out of Defendant’s alleged disclosure, through certain web analytics and marketing tools, of their private health-related information to Facebook. Defendant has moved to dismiss Plaintiffs’ amended complaint in its entirety. See ECF No. 11. As explained below, Defendant’s motion is GRANTED in part and DENIED in part. BACKGROUND Defendant operates one of the largest facilities for medical treatment and research in New York state, employing over 26,000 employees and nearly 3,000 clinical researchers. ECF No. 8 ¶ 33.1 Plaintiff Bonnie Wilson, a citizen of New York, and Plaintiff Carol Kane, a citizen of Florida, have accessed Defendant’s website to search for, make appointments with, and communicate with healthcare providers. Id. ¶ 37. They allege that, using two web tracking products, the Facebook

1 Unless otherwise noted, the facts are drawn from the First Amended Complaint, ECF No. 8, and any documents it incorporates by reference or that are “integral” to it. See Chambers v. Time Warner, Inc., 282 F.3d 147, 152–53 (2d Cir. 2002). Tracking Pixel (the “Pixel”) and Conversions Application Programming Interface (“CAPI”), Defendant transmitted their personally identifiable information (“PII”) and non-public personal health information (“PHI,” collectively with PII, “Private Information”) to Facebook without authorization. I. Facebook’s Web Tracking Technology

Facebook operates the world’s largest social media platform and generated $117 billion in revenue in 2021, about ninety-seven percent of which came from advertising. See ECF No. 8 ¶ 61. Facebook profiles include users’ real names, locations, friends, likes, and other communications. Id. ¶ 62. Facebook associates that information with personal identifiers, including IP addresses. Id. Facebook also tracks non-Facebook users through its marketing products. Id. ¶ 63. Facebook sells advertising by highlighting its ability to effectively target users by tracking activity both inside and outside of its own website. Id. ¶¶ 64-65. This tracking allows Facebook to “make inferences about users beyond what they explicitly disclose.” Id. ¶ 66. Facebook compiles this information into a dataset called “Core Audiences.”

Id. ¶ 67. Advertisers can use this dataset to target their advertisements by using “highly specific filters and parameters.” Id. They can also build “Custom Audiences,” which enable advertisers to reach “people who have already shown an interest in [their] business, whether they’re loyal customers or people who have used [their] app or visited [their] website.” Id. ¶ 69. Finally, Facebook allows advertisers to build “Lookalike Audiences” by “leveraging information from [a] source audience to find new people who share similar qualities.” Id. In order to build Custom Audiences and Lookalike Audiences, advertisers must provide Facebook with data either by manually uploading customer contact information or using Facebook’s “Business Tools.” Id. ¶ 70. Facebook’s Business Tools, such as the Pixel and CAPI, are designed to “help website owners . . . and business partners, including advertisers and others, integrate with Facebook, understand and measure their products and services, and better reach and serve people who might be interested in their products and services.” ECF No. 8 ¶ 71. These Business Tools are configured to capture certain data by default, such as when a user visits a webpage or that webpage’s Universal

Resource Locator (“URL”) and metadata, or when a user downloads a mobile application or makes a purchase. Id. ¶ 73. The Business Tools can also track other events. Id. ¶ 74. Along with Facebook’s “menu of ‘standard events’ from which advertisers can choose,” advertisers can create their own tracking parameters by building a “custom event.” Id. The Pixel is a piece of code that “tracks the people and [the] type of actions they take as they interact with a website (or other digital property),” including, among other things, how long they spend on a particular page, which buttons they click, which pages they view, and the text they enter into search bars, chats, or text boxes. Id. ¶ 8 (internal quotation marks omitted). When a user accesses a website hosting the Pixel, it directs the user’s web browser to send a separate

message to Facebook’s servers. Id. ¶ 76. This separate transmission contains the original request to the host website (known as a “GET” request), along with the additional data that the Pixel has been configured to collect. Id. Among that data would be the user’s IP address,2 device ID, and Facebook ID. Id. ¶ 80. A user’s Facebook ID is linked to their Facebook profile, which “generally contains a wide range of demographic and other information . . . including pictures, personal interests, work history, relationship status, and other details.” Id. ¶ 84. When a user accesses a website equipped with the Pixel while logged into Facebook, Facebook receives the “c_user” cookie, which contains the

2 An IP address identifies a device on the internet and routes internet communications. ECF No. 8 ¶¶ 144-45. user’s unencrypted Facebook ID. Id. ¶ 96. When a user has recently logged out of Facebook, Facebook receives the “c_user” cookie as well as the “fr” cookie, which contains an encrypted Facebook ID and browser identifier. Id. ¶¶ 98-99. Defendant also used the “_fbp” cookie, which like the “fr” cookie, identifies a user’s browser. Id. ¶ 100. Because the Facebook ID “uniquely identifies an individual’s Facebook account, Facebook—or any other person—can use the

Facebook Profile ID to quickly and easily locate, access, and view the user’s corresponding Facebook profile.” Id. ¶ 84. Facebook uses the fr, _fbp, and c_user cookies to “link to [Facebook IDs] and corresponding Facebook profiles.” Id. ¶ 108. In other words, if a website visitor is a Facebook user, Facebook will associate the information that it collects through the Pixel with the visitor’s name and Facebook profile, and, as a result, their real-world identity. Id. ¶ 83. Defendant’s implementation of the Pixel also shared information about user actions with Facebook. For example, when a user selects filters, such as specialty and gender, or enters keywords into the search bar, on Defendant’s “Find a Provider” page, those filters and keywords are transmitted to Facebook. ECF No. 8 ¶ 91. While search parameters may be “coded,” that does

not prevent Facebook from decoding that data to determine that a user searched for, for example, a bone cancer specialist. See id. ¶ 92. When a user then selects a physician, the Pixel transmits: “the [user]’s unique and persistent Facebook ID (c_user ID), (ii) the fact that the patient clicked on a specific provider’s profile page . . . , (iii) the patient’s search parameters (demonstrating that they specifically searched for a female or male doctor and their specialty), and (iv) the [user’s] location.” Id. ¶ 93. Once a user has selected a physician, if the user then proceeded to click the “Schedule an Appointment” button on the physician’s profile, the Pixel would transmit that action to Facebook as the “SubscribedButtonClick” event, along with the user’s search parameters and Facebook ID. See id. ¶ 94. II. Defendant’s Privacy Policies Defendant sets outs its policies and practices with respect to Private Information in its Privacy Statement and Notice of Privacy Practices (collectively, “Privacy Policies”). See ECF No. 8 ¶¶ 112, 113, 115.

Free access — add to your briefcase to read the full text and ask questions with AI

Related

In Re NYSE Specialists Securities Litigation
503 F.3d 89 (Second Circuit, 2007)
Bell Atlantic Corp. v. Twombly
550 U.S. 544 (Supreme Court, 2007)
Ashcroft v. Iqbal
556 U.S. 662 (Supreme Court, 2009)
Caro v. Weintraub
618 F.3d 94 (Second Circuit, 2010)
Faber v. Metropolitan Life Insurance
648 F.3d 98 (Second Circuit, 2011)
Williams v. Citigroup Inc.
659 F.3d 208 (Second Circuit, 2011)
United States v. Marce Bell
524 F.2d 202 (Second Circuit, 1975)
Amerex Group, Inc. v. Lexington Insurance
678 F.3d 193 (Second Circuit, 2012)
Doe v. Guthrie Clinic, Ltd.
519 F. App'x 719 (Second Circuit, 2013)
United States v. Jiau
734 F.3d 147 (Second Circuit, 2013)
Oswego Laborers' Local 214 Pension Fund v. Marine Midland Bank, N. A.
647 N.E.2d 741 (New York Court of Appeals, 1995)
Baidu, Inc. v. Register. Com, Inc.
760 F. Supp. 2d 312 (S.D. New York, 2010)
Colnaghi, U.S.A., Ltd. v. Jewelers Protection Services, Ltd.
81 N.Y.2d 821 (New York Court of Appeals, 1993)
Orlander v. Staples, Inc.
802 F.3d 289 (Second Circuit, 2015)
Osborn v. Cline
189 N.E. 483 (New York Court of Appeals, 1934)
Georgia Malone & Co. v. Rieder
973 N.E.2d 743 (New York Court of Appeals, 2012)

Cite This Page — Counsel Stack

Bluebook (online)
Kane v. University of Rochester, Counsel Stack Legal Research, https://law.counselstack.com/opinion/kane-v-university-of-rochester-nywd-2024.