Big Data. Big Decisions
InformationWeek
Special Coverage Series


Google Proposes Remedies To EU Antitrust Woes

As antitrust entanglements bedevil Google around the globe, the company floats a proposal to resolve the concerns of European Union regulators.

Google I/O: 10 Awesome Visions
Google I/O: 10 Awesome Visions
(click image for larger view and for slideshow)
Google executive chairman Eric Schmidt has submitted a proposal to Joaquin Almunia, VP of the European Commission responsible for competition policy, to resolve European antitrust concerns.

Google declined to make its proposal public, but offered a statement. "We have made a proposal to address the four areas the European Commission described as potential concerns," a company spokeswoman said in an email. "We continue to work cooperatively with the Commission."

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

The European Commission began its inquiry into how Google runs its search business in November 2010, following complaints from various online companies. In May, Almunia outlined four areas of concern and told Google that it had several weeks to respond. Failure to do so would have invited more formal antitrust action.

Google's proposal is likely to address how it treats third-party search site links, the extent to which it presents third-party content in its search results, potential revisions to its AdSense terms of service that accommodate competing ad networks in Google partner sites, and AdWords API rules that limit automated ad campaign data export.

[ Google's technology vision is more ambitious and socially transformative than its competitors'--but it's also riskier. Read Google's Risky Business. ]

Google also faces antitrust scrutiny in the United States, at both the federal and state levels. In April, the Federal Trade Commission hired an experienced antitrust litigator to direct its investigation into Google's search business. California, New York, and Texas are meanwhile conducting their own inquiries into Google's search advertising business.

In addition, regulatory bodies in Argentina, India, and South Korea are pursuing their own search-related inquiries.

Revisiting a legal argument it made in a case nine years ago, Google is testing the waters for a free-speech defense against antitrust claims. The company recently commissioned UCLA law professor Eugene Volokh to argue that Google has a "First Amendment right to decide how to present information in its speech to its users."

Columbia law professor Tim Wu last month argued against that position, claiming that "[giving] computers the rights intended for humans is to elevate our machines above ourselves."

Critics of Wu's position have dismissed his argument by noting that computers are just tools that carry out human instructions, like the printing press, and that First Amendment protection remains with people, regardless of their chosen medium of expression.

Steve Pociask, president of the American Consumer Institute, a free-market advocacy group, expressed skepticism of Google's proposal in an emailed statement. "Unfortunately, Google has a long track record of settling issues or apologizing to various agencies and promising to change [its] behavior only to abuse [its] dominant power and behave badly soon after, flouting [its] previous pledge to do better," he said. "Given [the company's] history, it would be wise to be skeptical of any settlement that Google reaches without serious limits and real incentives to change [its] behavior."

Thomas Vinje, European Union counsel to FairSearch, a coalition backed by Microsoft and several online travel companies, said he looked forward to providing input to the European Commission about ways to restore competition in the search market. "We hope the proposals reflect a greater willingness to end Google's anti-competitive behavior than has its consistent rejection of the concerns that Mr. Almunia identified after collecting evidence for nearly two years," he said in a statement.



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.