"With Carnegie Mellon's cloud-centric new mobile app, the process of matching a casual snapshot with a person's online identity takes less than a minute. Tools like PittPatt and other cloud-based facial recognition services rely on finding publicly available pictures of you online, whether it's a profile image for social networks like Facebook and Google Plus or from something more official from a company website or a college athletic portrait. In their most recent round of facial recognition studies, researchers at Carnegie Mellon were able to not only match unidentified profile photos from a dating website (where the vast majority of users operate pseudonymously) with positively identified Facebook photos, but also match pedestrians on a North American college campus with their online identities.
The repercussions of these studies go far beyond putting a name with a face; researchers Alessandro Acquisti, Ralph Gross, and Fred Stutzman anticipate that such technology represents a leap forward in the convergence of offline and online data and an advancement of the 'augmented reality' of complementary lives. With the use of publicly available Web 2.0 data, the researchers can potentially go from a snapshot to a Social Security number in a matter of minutes."
(Jared Keller, 29 September 2011, The Atlantic Magazine)
"Facebook also introduced new features aimed at marketing companies that let users monitor what their fellow members are watching and listening to online instantly. ...
'Retention of information online has always been a problem. If information comes and goes fleetingly there's less likelihood it will be used other than for the purpose you put it up, which is just to keep people in touch with what you're doing,' Mr Vaile said.
'This is in line with my concern about Facebook trying to change how people think and encourage them to normalise over-sharing and abandon any restraint on storage and use and exposure of private information.'"
(Andrew Colley, 24 September 2011, The Australian)