Big Data. Big Decisions
InformationWeek
Special Coverage Series

Commentary

Thomas Claburn

Thomas Claburn

Editor-at-Large

Google's Privacy Invasion: It's Your Fault

If we really wanted privacy, we would turn off JavaScript, block ads, and browse in privacy mode through an anonymous proxy. But we would rather have free services.

Google stepped in it, again. The company was caught bypassing the privacy settings of those using Apple's Safari Web browser, which unlike other major browsers blocks third-party cookies by default. Google, like just about every other online company, relies on cookie files to improve ad relevancy, to identify users, and to deliver online services.

The Wall Street Journal, which Friday broke the story as part of its ongoing investigation into online privacy, reports that Google, along with at least three other advertising companies--Vibrant Media, WPP PLC's Media Innovation Group, and Gannett's PointRoll--"exploited a loophole in the browser's privacy settings" to place a cookie file on OS X and iOS devices such as iPhones using Safari.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

The incident has prompted Consumer Watchdog, a consumer advocacy group critical of Google's privacy practices, to call for intervention from the Federal Trade Commission. Another consumer advocacy group, the American Consumer Institute, said, "Google’s willful disregard for the privacy choices of consumers and the privacy policies of Apple is a new low even for Google."

Google insists the Wall Street Journal report "mischaracterizes what happened and why." The company says it "used known Safari functionality to provide features that signed-in Google users had enabled" and that it did not collect personal information.

[ Google has been under fire for its planned privacy policy change. Read Google Rejects EU Request On Privacy Policy Consolidation. ]

Google hasn't helped its case by ceasing to use the HTML code that overrode Safari's default behavior. That looks like an admission of guilt. But let's step back for a moment and examine the situation.

The American Consumer Institute's contention Google willfully disregarded "the privacy choices of consumers and the privacy policies of Apple" isn't accurate.

Google disregarded the privacy choices of Apple, which chooses to block third-party cookies by default in its browser. And Google has nothing to do with Apple's privacy policies, which describe how Apple handles customer data.

Google argues that it manipulated Safari to resolve contradictory browser settings. Safari blocks third-party cookies by default. At the same time, Apple has implemented exceptions to Safari's third-party cookie blocking to allow social features like the +1 button to function.

Rachel Whetstone, SVP of communications and public policy, said in a statement that Google deployed its workaround code "to enable features for signed-in Google users on Safari who had opted to see personalized ads and other content--such as the ability to '+1' things that interest them."

The fact that other Google cookies got set, Google insists, was accidental. "The Safari browser contained functionality that then enabled other Google advertising cookies to be set on the browser," Whetstone explained. "We didn't anticipate that this would happen, and we have now started removing these advertising cookies from Safari browsers. It's important to stress that, just as on other browsers, these advertising cookies do not collect personal information."

Were it not for the fact that Google's advertising cookie opt-out help page stated explicitly that Safari's default setting was the functional equivalent of opting out, Google's explanation might suffice.

But rewind now to the July 2011 release of OS X Lion. With Lion came Safari 5.1, which included for the first time third-party cookie blocking by default.

Could Apple's decision to block third-party cookies by default have been influenced by its competition with Google, a company that depends on advertising and cookies?

 1 | 2  | Next Page »


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.