Sandvig v. Sessions

CourtDistrict Court, District of Columbia
DecidedMarch 30, 2018
DocketCivil Action No. 2016-1368
StatusPublished

This text of Sandvig v. Sessions (Sandvig v. Sessions) is published on Counsel Stack Legal Research, covering District Court, District of Columbia primary law. Counsel Stack provides free access to over 12 million legal documents including statutes, case law, regulations, and constitutions.

Bluebook
Sandvig v. Sessions, (D.D.C. 2018).

Opinion

UNITED STATES DISTRICT COURT FOR THE DISTRICT OF COLUMBIA

CHRISTIAN W. SANDVIG, et al.,

Plaintiffs, v. Civil Action No. 16-1368 (JDB) JEFFERSON B. SESSIONS III, in his official capacity as Attorney General of the United States,

Defendant.

MEMORANDUM OPINION

It’s a dangerous business, reading the fine print. Nearly every website we visit features

Terms of Service (“ToS”), those endless lists of dos and don’ts conjured up by lawyers to govern

our conduct in cyberspace. They normally remain a perpetual click away at the bottom of every

web page, or quickly scrolled past as we check the box stating that we agree to them. But to

knowingly violate some of those terms, the Department of Justice tells us, could get one thrown in

jail. This reading of federal law is a boon to prosecutors hoping to deter cybercrime. Yet it also

creates a dilemma for those with more benign intentions. Plaintiffs in this case, for instance, are

researchers who wish to find out whether websites engage in discrimination, but who have to

violate certain ToS to do so. They have challenged the statute that they allege criminalizes their

conduct, saying that it violates their free speech, petition, and due process rights. First, however,

they must show that they have a sufficient injury to make it through the courthouse door, and that

their suit is plausible enough to continue. For the following reasons, the Court finds that plaintiffs

have standing, and that they can bring one (but not the rest) of their claims.

1 I. BACKGROUND

This case centers on a few sections of the Computer Fraud and Abuse Act (CFAA), a law

dedicated to “deterring the criminal element from abusing computer technology.” H.R. Rep. No.

98–894, at 4 (1984). Plaintiffs directly challenge one section, referred to here as the Access

Provision, which sweeps in the greatest amount of conduct. The Access Provision states that

“[w]hoever . . . intentionally accesses a computer without authorization or exceeds authorized

access, and thereby obtains . . . information from any protected computer . . . shall be punished as

provided in subsection (c) of this section.” 18 U.S.C. § 1030(a)(2)(C). The CFAA defines

“protected computer” to mean, among other things, “a computer . . . which is used in or affecting

interstate or foreign commerce or communication.” Id. § 1030(e)(2)(B). This definition

encompasses just about all computers hooked up to the Internet—including computers that house

website servers. See, e.g., United States v. Nosal, 676 F.3d 854, 859 (9th Cir. 2012). The statute

also defines “exceeds authorized access” as “to access a computer with authorization and to use

such access to obtain or alter information in the computer that the accesser is not entitled so to

obtain or alter.” 18 U.S.C. § 1030(e)(6). Thus, the Access Provision applies to anyone who

purposely accesses an Internet-connected computer without authorization, or uses a legitimate

authorization to receive or change information that they are not supposed to, and thereby obtains

information from the computer.

The CFAA provides for a fine and/or imprisonment for up to one year upon a first violation

of the Access Provision, or up to ten years for any further offenses. Id. § 1030(c)(2)(A), (C).

However, the punishment for an initial violation rises to a sentence of up to five years’

imprisonment if the offense (1) “was committed for purposes of commercial advantage or private

financial gain,” (2) was “in furtherance of any criminal or tortious act in violation of the

2 Constitution” or state or federal law, or (3) involved obtaining information valued at more than

$5,000. Id. § 1030(c)(2)(B). Thus, meeting one of these three conditions makes a first violation

a felony; if none are met, the first violation is a misdemeanor.

Plaintiffs in this case are four professors and a media organization: Christian W. Sandvig

of the University of Michigan; Kyratso “Karrie” Karahalios of the University of Illinois; Alan

Mislove of Northeastern University; Christopher “Christo” Wilson of Northeastern University;

and First Look Media Works, Inc. (“Media Works”), which publishes the online news platform

The Intercept. Compl. [ECF No. 1] ¶¶ 13–14, 16–17, 19. Plaintiffs are conducting studies to

respond to new trends in real estate, finance, and employment transactions, which increasingly

have been initiated on the Internet. Id. ¶¶ 15, 18, 55. Data brokers assemble consumers’

information from myriad sources and place consumers into models that include racial, ethnic,

socioeconomic, gender, and religious inferences about them. Id. ¶¶ 56–57. After brokers create

consumer profiles, those profiles follow consumers around online through tracking technologies

such as cookies. Id. ¶¶ 58–59. Tracking allows websites and advertisers to display content targeted

at particular groups, based on consumers’ inferred characteristics or the sorts of websites they visit.

Id. ¶¶ 59–60. But plaintiffs are concerned, “[g]iven the . . . history of racial discrimination in

housing and employment,” that this technology may be “harnessed for discriminatory purposes.”

Id. ¶ 61. They are also concerned that, “when algorithms automate decisions, there is a very real

risk that those decisions will unintentionally have a prohibited discriminatory effect.” Id. ¶ 62.

One way to determine whether members of protected classes are being discriminated

against is to engage in “outcomes-based audit testing.” Id. ¶ 67. Such testing commonly involves

accessing a website or other network service repeatedly, generally by creating false or artificial

user profiles, to see how websites respond to users who display characteristics attributed to certain

3 races, genders, or other classes. Id. ¶ 70. This method is similar to classical paired testing

procedures, in which multiple people—identical but for one legally protected trait—apply for the

same house or job. Such procedures are often used to uncover violations of housing and

employment discrimination laws in the physical world. Id. ¶¶ 41, 50, 52.

Plaintiffs plan to engage, and are engaging, in such audit testing. Sandvig and Karahalios

are investigating whether computer programs that decide what to display on real estate websites

discriminate against users based on race or other factors. Id. ¶ 82. They are writing a computer

program that will create bots—automated agents that will each browse the Internet and interact

with websites as a human user might. Id. ¶ 88. Each bot will create a number of distinct user

profiles, each of which is called a “sock puppet.” Id. ¶ 89. Sandvig and Karahalios will program

the bots to visit real estate websites and search for properties, while also engaging in behaviors

correlated with members of a particular race. Id. ¶¶ 90–91. Sandvig and Karahalios will use an

automatic data recording technique known as scraping to record the properties that each bot sees

on the real estate sites. Id. ¶¶ 90, 92. They can then examine their data to determine whether race-

associated behaviors caused the sock puppets to see different sets of properties. Id. ¶ 93.

Similarly, Mislove and Wilson plan to conduct a study to see whether hiring websites’

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