Big Data. Big Decisions
InformationWeek
Special Coverage Series

Commentary

Mathew J. Schwartz

Mathew J. Schwartz



FTC Sets Consumer Data Collection Limits

As Spokeo gets fined $800,000, FTC tries to enforce differences between consumer-reporting services and people-search services, which gather and sell large amounts of publicly accessible personal data.

Do search firms, marketers, and advertisers collect and sell too much information about consumers?

To put the question another way: Is the mass buying and selling of people's personal information a modern age necessity--for fueling the advertising that allows much of today's online content to remain "free"--or does it too often risk violating consumers' right to privacy, as well as laws that prohibit selling inaccurate information about consumers?

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

Your answer to that question may inform your perspective on the FTC this month spanking data broker Spokeo with an $800,000 fine for marketing a service that provides consumer reports and background checks--not least to potential employers--that failed to abide by the Fair Credit Reporting Act (FCRA), which requires that information shared be accurate, used only for an allowed purpose, and that customers are informed of those requirements. The FTC also accused Spokeo of having written its own fake reviews--laudatory, of course--and then placing them on external websites and blogs.

"The FTC's settlement with Spokeo stands for the important proposition that companies cannot merely aver themselves out of the scope of FCRA--products to be used for important decisions like credit and employment must incorporate FCRA's protections to make sure those products are reliable," said Justin Brookman, director of the Center for Democracy and Technology's project on consumer privacy, in a blog post.

In response to the FTC settlement, Spokeo released a blog post titled "Empowering Spokeo's Users," in which Spokeo founder and president Harrison Tang says that the company never meant to act as a provider of consumer reports or background check information. He neglected to address the FTC's charge that Spokeo had disseminated fake reviews of its services.

Instead, Tang harkened back to the early days of the company, which he started with his Stanford roommates. He also spun his company's data collection practices as a force for consumer good. "Spokeo will continue to be a company based on innovation that empowers consumers to reconnect with family and friends, learn about celebrities and other famous people, and discover their own online footprint," he said.

Spokeo works by using "machine aggregation"--online crawlers--to collect people's personal information in a variety of ways. "Spokeo aggregates publicly available information from phone books, social networks, marketing surveys, real estate listings, and other public sources," included government census reports, "business websites," and mailing lists, according to Spokeo's privacy page. "This third-party data is then indexed through methods similar to those used by Google or Bing to create a listing. Because Spokeo only collects this data and does not create it, we cannot fully guarantee its accuracy."

Where does Spokeo's search service--which claims to have information on nearly 300 million U.S. consumers, and which Tang has likened to being a "Google for people"--end, and a consumer-reporting service begin? (For the record, consumers can opt out of having their information appear via Spokeo, but the onus is on consumers to opt out of any such service, rather than allowing them to opt in.)

Legally speaking, the FCRA defines "consumer reports" as "any written, oral, or other communication of any information by a consumer reporting agency bearing on a consumer's credit worthiness, credit standing, credit capacity, character, general reputation, personal characteristics, or mode of living," and which is expected to be used for credit, insurance, or employment purposes, or "a legitimate business need," such as a consumer-initiated transaction.

But what's to stop a company such as Spokeo from selling consumer reports, even if they're not marketed as such? In response to that question, FTC spokeswoman Claudia Farrell said via email that the agency keeps an eye on any business offering consumer reporting agency (CRA) services--even if they're not labeled as such--to ensure that they comply with the consumer report protections required under the FCRA. "If the [business] in question is not a CRA and/or not selling consumer reports, as defined by the FCRA, they are not covered," she said. "Of course, we would look at facts on a case by case basis. A company's declaration that they are not a CRA, or that the reports they sell are not consumer reports, does not exempt them from the FCRA."

In the case of Spokeo, meanwhile, the company says that it's changed its ways, not least by ceasing to offer a background check service marketed to HR departments, recruiters, and law enforcement agencies. Spokeo's chief strategy officer Emanuel Pleitez, who joined the company earlier this year, said that until February 2010, the company had only eight employees, and was testing different business models to see which one worked. He said the company's background-check service never attracted more than about 100 customers.

After February 2010, however, he said the company retooled, and began selling only a people-search service for consumers. It also eliminated all of the accounts that had been created via its HR and background-check marketing links, and implemented a new blogging policy to ensure that any Spokeo-commissioned material that appears on the Internet is clearly labeled as such. Furthermore, while Spokeo still amasses financial information, Pleitez said it's only available for reviewing median incomes on a neighborhood by neighborhood basis.

"We obviously talked with the FTC about what had happened, and how we move forward," said Pleitez. In addition, customer service personnel received training to deactivate accounts for any customers that appear to be using Spokeo for background-check purposes, and the company details to its customers, via email, the purposes for which its service can and cannot be used. Pleitez said the company is glad that the FTC's enforcement action has been announced, so that Spokeo can move on. "At our core, we're a technology company, we want to create a cool product," he said.

But such products still pose provocative privacy questions. Indeed, while people-search products may not be consumer reports, per the FTC's definition, they can reveal a surprising amount of personal information. Accordingly, the rule for cautious consumers remains the same: beware what you share.

"Today, more and more companies are trying to mine social media when making employment and credit decisions," said Brookman at the Center for Democracy and Technology. "In many cases, the consumers themselves are putting personal information out there using Facebook, Twitter, or any number of other publishing platforms--can they credibly complain if that information later comes back to bite them?"

New apps promise to inject social features across entire workflows, raising new problems for IT. In the new, all-digital Social Networking issue of InformationWeek, find out how companies are making social networking part of the way their employees work. Also in this issue: How to better manage your video data. (Free with registration.)



Related Reading




Currently we allow the following HTML tags in comments:

Single tags

These tags can be used alone and don't need an ending tag.

<br> Defines a single line break

<hr> Defines a horizontal line

Matching tags

These require an ending tag - e.g. <i>italic text</i>

<a> Defines an anchor

<b> Defines bold text

<big> Defines big text

<blockquote> Defines a long quotation

<caption> Defines a table caption

<cite> Defines a citation

<code> Defines computer code text

<em> Defines emphasized text

<fieldset> Defines a border around elements in a form

<h1> This is heading 1

<h2> This is heading 2

<h3> This is heading 3

<h4> This is heading 4

<h5> This is heading 5

<h6> This is heading 6

<i> Defines italic text

<p> Defines a paragraph

<pre> Defines preformatted text

<q> Defines a short quotation

<samp> Defines sample computer code text

<small> Defines small text

<span> Defines a section in a document

<s> Defines strikethrough text

<strike> Defines strikethrough text

<strong> Defines strong text

<sub> Defines subscripted text

<sup> Defines superscripted text

<u> Defines underlined text

BYTE encourages readers to engage in spirited, healthy debate, including taking us to task. However, BYTE moderates all comments posted to our site, and reserves the right to modify or remove any content that it determines to be derogatory, offensive, inflammatory, vulgar, irrelevant/off-topic, racist or obvious marketing/SPAM. BYTE further reserves the right to disable the profile of any commenter participating in said activities.

Disqus Tips To upload an avatar photo, first complete your Disqus profile. | View the list of supported HTML tags you can use to style comments. | Please read our commenting policy.

Follow InformationWeek

By The Numbers

What Are Your Primary Concerns About Using Big Data Software?

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

What Do You Think?

What's your attitude about SQL analysis on top of Hadoop?
We want fast, standard SQL analysis capabilities on Hadoop ASAP
Hadoop is for unstructured data; SQL is for relational databases
We'll give SQL on Hadoop a try, but relational DBs will remain the mainstay
Given strong SQL support on Hadoop, we'd nix the data warehouse
We're not interested in Hadoop
No opinion



Related Content

From Our Sponsor

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Business leaders often need a visual snapshot of data to quickly grasp and use it. This paper identifies five challenges in presenting data and how visual analytics can resolve them. Solutions are suggested to overcome the challenges of: speed, data clarity, data quality, displaying meaningful results, and dealing with outliers.

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Today's competitive advantage requires a deeper understanding of your business, your market and your customers. As an IT executive, you can drive that knowledge transformation. In this white paper, learn how to make decisions as a strategic business leader and three steps to begin an analytics initiative within your enterprise.

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

High-performance data visualization turns sophisticated analyses into meaningful graphics, leading to faster and smarter decision making. In this white paper, learn how visual analytics can transform big data, with additional features such as real-time functionality, mobile compatibility, robust applications for technical groups and accessibility for nontechnical users.

Big Data: Lessons from the Leaders

Big Data: Lessons from the Leaders

Financial performance, competitive advantage, operational efficiency, strategic decision making - every business goal can extract value from big data, and the time for doubt or inaction has long passed. In this Economist Intelligence Unit report, in-depth interviews with data pioneers reveal the link between the effective use of big data and the bottom line among other results.

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Which came first, the data or the decision? This white paper makes the case for having a decision in mind, then tailoring big data's volume, variety and velocity to achieve business results such as overcoming customer dissatisfaction or creating well-informed strategies in real time.

Informationweek Reports

Research: The Big Data Management Challenge

Research: The Big Data Management Challenge

The challenge of big data is real, but most organizations don't differentiate 'big data' from traditional data, and nearly 90% of respondents to our survey use conventional databases as the primary means of handling data. We'll help you understand what constitutes big data (it's not just size) and the numerous management challenges it poses.