I was reading an article early this morning about an online recruitment company and their newest feature which allows them to scan relevant sites such as GitHub, Twitter, StackOverflow, Meetup, Google+ and other forums where candidates are active online. The information they get from these sites helps them find candidates that are more likely inactive job seekers that do not regularly upload their resume.
The region-wide launch of TalentBin by Monster, which provides recruiters access to previously ‘unfindable’ candidate profiles through aggregated social sources across the Web, aims to use a storehouse of actionable information and web-based recruiting tools to help locate hard-to-find talent. By aggregating public candidate social activity into a rich professional profile, recruiters now can find many previously undiscoverable candidates.
These is the same premise on how one of the lead characters of a sci-fi movie is able to "mold" the traits and looks of his AI (Artificial Intelligence) robot. The story relates how the inventor and master developer/programmer was able to gather information from the Internet based on the activities of the user (one of his employees he wanted to use as a test subject), even his private porn-viewing activities were not spared, and thus able to "craft" a robot that the user will definitely like.
This ability to harvest information from social media or forums where we interact with other online users could be very useful as well for recruiters who can categorize us based on what sites we often go to, what movies we watch, what items we order, and a lot of other information vital to identifying which job we are most likely be qualified for.