Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    data driven insights
    How Data-Driven Insights Are Addressing Gaps in Patient Communication and Equity
    8 Min Read
    pexels pavel danilyuk 8112119
    Data Analytics Is Revolutionizing Medical Credentialing
    8 Min Read
    data and seo
    Maximize SEO Success with Powerful Data Analytics Insights
    8 Min Read
    data analytics for trademark registration
    Optimizing Trademark Registration with Data Analytics
    6 Min Read
    data analytics for finding zip codes
    Unlocking Zip Code Insights with Data Analytics
    6 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Facebook’s Big Data: Equal Parts Exciting and Terrifying?
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data Mining > Facebook’s Big Data: Equal Parts Exciting and Terrifying?
AnalyticsBig DataBusiness IntelligenceData MiningData WarehousingInside CompaniesModelingPolicy and GovernancePredictive AnalyticsPrivacySentiment AnalyticsSocial Media AnalyticsText AnalyticsUnstructured DataWeb Analytics

Facebook’s Big Data: Equal Parts Exciting and Terrifying?

Bernard Marr
Bernard Marr
8 Min Read
Image
SHARE

Image

Facebook, the popular social network with over 1.2 billion users world wide, has not just big, but gigantic amounts of data at their disposal, making it a big data paradise.

Image

Facebook, the popular social network with over 1.2 billion users world wide, has not just big, but gigantic amounts of data at their disposal, making it a big data paradise.

More Read

big data approaches to marketing
Can Big Data Approaches To Marketing Slash Business Closure Rates?
Furthering Big Data’s Retail Benefits
4 Fundamental Benefits of CRM Use
Guide to Incorporating Analytics in the MVP Development Process
The Technology Problems With Social Media ROI

We as the users of Facebook happily feed their big data beast. We send 10 billion Facebook messages per day, click the ‘like’ button 4.5 billion times and upload 350 million new pictures each and every day. Overall, there are 17 billion location-tagged posts and a staggering 250 billion photos on Facebook.

All this information means, Facebook knows what we look like, who our friends are, what our views are on most things, when our birthday is, whether we are in a relationship or not, the location we are at, what we like and dislike, and much more. This is an awful lot of information (and power) in the hands of one commercial company.

As someone that helps companies get to grips with big data, I am in awe of the big data gold mine Facebook is creating. I believe that even if we all stopped using Facebook today, the company would have enough detailed insights about us to exploit that for years. No other company in history has ever possessed this level of detailed personal information and I believe that, apart from Google maybe, there is no other company on the planet that comes close to those levels of ‘intemate’ big data.

Of course, Facebook is acutely aware of this and their entire business model is based on the effective exploitation of their big data. The more we use Facebook, the more they will learn about us and the more valuable the information will become. Facebook is investing heavily in their ability to collect, store and analyze all the data we provide, but their hunger for data doesn’t stop there.

Facebook goes beyond simply analyzing and ‘mining’ the user profile data. USA Today revealed how Facebook tracks users across the Web. Using ‘tracking cookies’ Facebook can collect information about each website you are visiting. This means when you are logged into Facebook and then browse the web (completely separately from your Facebook activities) Facebook knows what sites you are visiting.

Facebook has also invested in image processing and ‘face recognition‘ capabilities, that basically allow Facebook to track you – because it knows what you and your friends look like from the photos you have shared. It can now search the Internet and all other Facebook profiles to find pictures of you and your friends.

Face recognition allows Facebook to make ‘tag suggestions‘ for people on photos you have uploaded but it is mind boggling what else they could do with technology like that. Just imagine how Facebook could use computer algorithms to track your body shape. They could analyze your latest beach shots you have shared and compare them with older ones to detect that you have put on some weight. It could then sell this information to a slimming club in your area who can place an ad on your Facebook page. Scary?

There is more: a recent study shows that it is possible to accurately predict a range of highly sensitive personal attributes simply by analyzing the ‘Likes’ you have clicked on Facebook. The work conducted by researchers at Cambridge University and Microsoft Research shows how the patterns of Facebook ‘Likes’ can very accurately predict your sexual orientation, satisfaction with life, intelligence, emotional stability, religion, alcohol use and drug use, relationship status, age, gender, race and political views among many others. Interestingly, those “revealing” ‘Likes’ can have little or nothing to do with the actual attributes they help to predict and often a single ‘Like’ is enough to generate an accurate prediction.

I have one big concern about the way Facebook uses our data: I feel it is not done in a truly transparent way. Their excuse has always been: It is all stated in the small print. But how many of us really read the pages and pages of small print before we sign up? And do we re-read everything each time Facebook up-dates their privacy policy? The answer is NO.

It looks as if most Facebook users agree with me, but two of them feel that Facebook has gone too far by systematically scanning the content of private messages. As revealed by the FT recently, Facebook has been hit with a class-action lawsuit. Users Matthew Campbell from Arkansas and Michael Hurley from Oregon have filed a  lawsuit on behalf of over 166m Facebook users in the US. The accusation is that Facebook is violating the Electronic Communications Privacy Act by scanning and exploiting the content of private messages sent via the Facebook platform without prior consent by users.

The issue here is that ‘private’ messages are seen by most users as exactly that: private! The accusation is that Facebook identifies website links (URLs) contained in private messages and then searches these websites in order to profile users. In their accusation Campbell and Hurley argue: “Representing to users that the content of Facebook messages is ‘private’ creates an especially profitable opportunity for Facebook, because users who believe they are communicating on a service free from surveillance are likely to reveal facts about themselves that they would not reveal had they known the content was being monitored.”

A Facebook spokesperson told Bloomberg that the allegations are without merit and that Facebook will defend itself vigorously. Of course they would say that. The trouble for Facebook is to strike the right balance between offering a customer service in form of a free social networking platform and shareholder returns, especially profits from selling data and advertising based on their big data insights.

To me, it feels like Facebook (as well as many other companies including Google, Yahoo! etc.) are trying to somehow hide the extent to which they are analysing and mining our data. I feel that we need more transparency and maybe some control over the way our data can and cannot be used. I believe that improved transparency will help rebuild the tarnished reputation of big data analytics caused by the NSA revelations.

But what do you think? Does it scare you that Facebook knows everything about you and could exploit and sell that information? Does this make Facebook too powerful? Please share your views…

—–

Check out my other posts in The Big Data Guru column and feel free to connect with me via Twitter, LinkedIn, Facebook and The Advanced Performance Institute.

TAGGED:The Big Data Guru
Share This Article
Facebook Pinterest LinkedIn
Share
ByBernard Marr
Follow:
Bernard Marr is a best-selling author, keynote speaker, strategic performance consultant and analytics, KPI and Big Data guru.

Follow us on Facebook

Latest News

crypto marketing
How a Crypto Marketing Agency Can Use AI to Create Powerful Native Advertising Strategies
Blockchain Exclusive Marketing
data driven insights
How Data-Driven Insights Are Addressing Gaps in Patient Communication and Equity
Analytics Big Data Exclusive
image fx (37)
Boosting SMS Marketing Efficiency with AI Automation
Exclusive
pexels pavel danilyuk 8112119
Data Analytics Is Revolutionizing Medical Credentialing
Analytics Big Data Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

big data
AnalyticsBig DataBusiness IntelligenceDecision ManagementStatisticsUnstructured DataWorkforce Data

Analytics at Google: Great Example of Data-Driven Decision-Making

8 Min Read
Image
Uncategorized

My 8 Big Data Predictions for 2015

7 Min Read
Image
Uncategorized

The 6 Things Everyone Needs to Know About the Big Data Economy

10 Min Read
Image
AnalyticsBig DataBusiness IntelligenceData ManagementData MiningExclusiveModelingPolicy and GovernancePredictive AnalyticsRisk Management

When Big Data Turns Into a Big Nightmare!

6 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots
ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?