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 analytics
    How Data Analytics Can Help You Construct A Financial Weather Map
    4 Min Read
    financial analytics
    Financial Analytics Shows The Hidden Cost Of Not Switching Systems
    4 Min Read
    warehouse accidents
    Data Analytics and the Future of Warehouse Safety
    10 Min Read
    stock investing and data analytics
    How Data Analytics Supports Smarter Stock Trading Strategies
    4 Min Read
    predictive analytics risk management
    How Predictive Analytics Is Redefining Risk Management Across Industries
    7 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Project Gaydar: A Reminder That Privacy Isn’t Binary
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Uncategorized > Project Gaydar: A Reminder That Privacy Isn’t Binary
Uncategorized

Project Gaydar: A Reminder That Privacy Isn’t Binary

Daniel Tunkelang
Daniel Tunkelang
3 Min Read
SHARE

There’s a nice article in the Boston Globe about “Project Gaydar“, a project to predict who is gay based on statistically analyzing their Facebook networks. They’ve only done ad hoc validation of their predictions, but claim that their results seem accurate. The involvement of distinguished MIT professor Hal Abelson (at least to the point where he’s quoted in the article) lends credibility to their effort.

I’m glad to finally see a real world example of the issues I blogged about last year in a post entitled “Privacy and Information Theory“:

The mainstream debates treat information privacy as binary. Even when people discuss gradations of privacy, they tend to think in terms of each particular disclosure (e.g., age, favorite flavor of ice cream) as binary. But, if we take an information-theoretic look at disclosure, we immediately see that this binary view of disclosure is illusory.

I’m curious to see if this project advances the conversation. At the very least, I’m gratified to see my abstract ramblings validated by a real-world example!

More Read

Free Stuff!
A coincidence occurred. Film at 11.
Ranked Set Retrieval
Big Data for Personal Use Is More Popular Than Ever
Email Marketing Isn’t Dead!

There’s a nice article in the Boston Globe about “Project Gaydar“, a project to predict who is gay based on statistically analyzing their Facebook networks. They’ve only done ad hoc validation of their predictions, but claim that their results seem accurate. The involvement of distinguished MIT professor Hal Abelson (at least to the point where he’s quoted in the article) lends credibility to their effort.

I’m glad to finally see a real world example of the issues I blogged about last year in a post entitled “Privacy and Information Theory“:

The mainstream debates treat information privacy as binary. Even when people discuss gradations of privacy, they tend to think in terms of each particular disclosure (e.g., age, favorite flavor of ice cream) as binary. But, if we take an information-theoretic look at disclosure, we immediately see that this binary view of disclosure is illusory.

I’m curious to see if this project advances the conversation. At the very least, I’m gratified to see my abstract ramblings validated by a real-world example!

Link to original post

TAGGED:facebookprivacysocial networks
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Edge Computing in IoT
Unique Capabilities of Edge Computing in IoT
Exclusive Internet of Things
Turning Geographic Data Into Competitive Advantage
The Rise of Location Intelligence: Turning Geographic Data Into Competitive Advantage
Big Data Exclusive
AI Recruitment Software Solution
The Best AI Recruitment Software Solution: Transforming Hiring with Smarter Tech
Artificial Intelligence Exclusive
real estate data
How Big Data Is Changes How We Buy and Sell Real Estate
Big Data Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Image
Big Data

The Big Data Era: How Should Consumers Deal With the New Definition of Privacy?

6 Min Read

Breaches of data confidentiality can be costly

2 Min Read

Facebook’s Response to Yahoo’s Patent Lawsuit

2 Min Read

The Promise and Perils of Text Analytics — Privacy

4 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 chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots
giveaway chatbots
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive

Quick Link

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

Sign in to your account

Username or Email Address
Password

Lost your password?