Big Data. Big Decisions
InformationWeek
Special Coverage Series


Facebook Buys Face.com: At What Privacy Cost?

Face.com's facial recognition technology will give Facebook users quicker and easier photo tagging abilities, but privacy concerns come along for the ride.

10 Social Acquisitions Signify Bigger Trends
10 Social Acquisitions Signify Bigger Trends
(click image for larger view and for slideshow)
Tagging photos on Facebook may get easier now that the social networking company has purchased facial recognition company Face.com.

According to TechCrunch, Facebook is paying between $55 million and $60 million, in a mix of cash and stock, for the like-named startup. (The acquisition price was originally thought to be $100 million.) The acquisition lines up nicely--if not quite as expensively--with Facebook's $1 billion purchase of mobile photo-sharing app Instagram, as well as with its announcement of the Facebook Camera app.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

Face.com's facial recognition technology can identify faces even when conditions are poor, such as when lighting is low. Using the company's REST-based API, developers can build apps based on the technology.

It would appear from a blog on Face.com's site that support for the developer community will continue. "Now, lots of developers use Face.com technology to power various apps and make wonderful products," said Face.com CEO Gil Hirsch in a Monday post. "We love you guys, and the plan is to continue to support our developer community. If there are new developments you can expect to hear from us here, on the developer blog, and through our developer newsletter."

The comments on Hirsch's post reference several apps built using Face.com technology and reflect hope that Face.com will continue its "special relationship with developers." (One commenter posits that Facebook is actually buying the like-named Face for another reason: "You know the only reason they bought this site is cause of misdirected traffic.")

[ Get the latest news on social business. See our special report: Enterprise 2.0 Boston 2012. ]

In a statement, Facebook said, "People who use Facebook enjoy sharing photos and memories with their friends, and Face.com's technology has helped to provide the best photo experience. This transaction simply brings a world-class team and a long-time technology vendor in house."

The acquisition will no doubt make it easier for Facebook users to identify people in photos and video, especially on mobile devices. Businesses may benefit by being able to more quickly and easily monitor how, when, and where their products are being talked about and promoted, especially with the rise of social sharing sites like Pinterest.

But photo tagging--especially as it becomes easier to do--also brings up huge privacy concerns. Facebook's page on photo tagging provides advice to users on how to limit or eliminate visibility of photos they are tagged in, as well as on how to remove tags, but the process can quickly become complicated and hard to keep up with. Businesses must take care to ensure that increased use of tagging does not result in increased privacy concerns for customers.

Follow Deb Donston-Miller at @debdonston.

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.