FYI - LinkedIn Is Using Your Photo and Your Actions In Social Advertising. The Filter Bubble. Privacy Policy. Panopticlick. Facebook instant personalization: How to disable it, and why. Updated: see below. Facebook's 'instant personalization' feature allows the walls between the social network and the world to be broken through for a seamless experience for all.
While many have not been able to access the instant personalisation feature yet, many have found that it is turned on by default so many will be entirely unaware the feature even exists. However, this raises concerns amongst the 500 million and growing population of the social network, with the potential for better targeted adverts and more of your data handed out to other websites. Information that is set or has been set to 'Everyone' may have already been copied elsewhere. How it works Provided you are logged into Facebook, certain websites like Pandora and Bing can 'personalise' their sites with data provided from your account.
Any information which is set to 'Everyone', like your name or your birthday can be used to make the website appear more friendly and tuned in. How to turn it off 1. The Filter Bubble: What the Internet Is Hiding from You (9781594203008): Eli Pariser. A Primer on Information Theory and Privacy. If we ask whether a fact about a person identifies that person, it turns out that the answer isn't simply yes or no.
If all I know about a person is their ZIP code, I don't know who they are. If all I know is their date of birth, I don't know who they are. If all I know is their gender, I don't know who they are. But it turns out that if I know these three things about a person, I could probably deduce their identity! Each of the facts is partially identifying. There is a mathematical quantity which allows us to measure how close a fact comes to revealing somebody's identity uniquely. Because there are around 7 billion humans on the planet, the identity of a random, unknown person contains just under 33 bits of entropy (two to the power of 33 is 8 billion).
ΔS = - log2 Pr(X=x) Where ΔS is the reduction in entropy, measured in bits, and Pr(X=x) is simply the probability that the fact would be true of a random person. How much entropy is needed to identify someone? Opt Out From Online Behavioral Advertising By Participating Companies (BETA)