"People don’t make much of a distinction between the New York Times and some random blogger," the executive told me. There’s a big difference between "you are what you click" and "you are what you share." For example, software that helps companies sift through résumés for talent might "learn" by looking at which of its recommended employees are actually hired. If nine white candidates in a row are chosen, it might determine that the company isn’t interested in hiring black people and exclude them from future searches. "Right," he said. "We’re not evil. We try really hard not to be evil. But if we wanted to, man, could we ever." Google Search Engineer
Eli Parisier. The Filter Bubble














