Have you noticed that Google searches done from two different locations or on two different computers will return markedly different results? Or that Facebook will feed you what its algortihms have decided you want to the exclusion of all else? Personalization is all the rage, as targeted information can maximize online advertising revenue. But is there a danger in algorithms fragmenting the news we receive based solely on potential profits? Are we getting what we want rather than what we need? Because of the diversity of material online, I’m not so sure this is as huge an issue as it might seem. But Internet advocate Eli Pariser, author of The Filter Bubble, believes it’s a critical flaw in Web 2.0 and took on the issue in his recent TED Talk.