Browser extension Data Selfie tracks you while you are on Facebook. The open-source tool helps you learn how machine learning algorithms track your Facebook activity and gain insights into your habits and about your personality. The tool tracks your activity, what topics you look at, what you click on and what you type. It then applies natural language processing and machine learning algorithms from IBM Watson and the University of Cambridge to crunch it and gain insights. These insights are displayed on a dashboard that shows your aggregated Facebook activity in a timeline. As well as showing what posts you've spent the most time on, Data Selfie uses predictive analytics to guess things such as your political affiliations as well as shopping and nutrition preferences.

Have you ever wondered how Facebook collects all the data it has to feed you with the content it presumes you'll like and keep you coming back for more? Well, now there's an app that can answer these questions. Available for free, Data Selfie is an open-source Chrome extension that helps you discover how machine learning algorithms track and process your Facebook activity, and gain insights about your personality and habits. TNW Conference won best European Event 2016 for our festival vibe. See what's in store for 2017. To accomplish this, the nifty extension monitors your Facebook interactions for patterns and then crunches the collected data into insightful reports.

Have you ever wondered how Facebook collects all the data it has to feed you with the content it presumes you'll like and keep you coming back for more? Well, now there's an app that can answer these questions. Available for free, Data Selfie is an open-source Chrome extension that helps you discover how machine learning algorithms track and process your Facebook activity, and gain insights about your personality and habits. Last year, Facebook's VP of Design thought the TNW Conference main stage was the best she'd ever been on. To accomplish this, the nifty extension monitors your Facebook interactions for patterns and then crunches the collected data into insightful reports. Data Selfie essentially tracks your activity – what you look at, how long you look at it, what you like, what you click and what you type – and then applies natural language processing and machine learning algorithms from IBM Watson and the University of Cambridge to turn this data into insight.

If you could measure all the information you consume online, what would you learn about yourself? Created by developers Hang Do Thi Duc and Regina Flores Mir, the application gives users a peek into what kind of digital footprint they might be leaving behind as they browse Facebook--and makes the hidden mechanisms of Facebook's data collection more transparent. How It Works Data Selfie collects data about what you click on (through likes and links), what you type, and what you look at, and for how long. Based on this information, the app compiles a personality profile using personality insights from the supercomputer IBM Watson and the machine learning algorithm Apply Magic Sauce and presents this "data selfie" for you to peruse. In the name of transparency and privacy, all of Data Selfie's code is on Github, and all of the data it tracks is stored on your personal computer.