Not all data mining is equal!
In his blog, Bruce Schneier outlines a useful taxonomy of social networking data. He divides all the data that is collected on an individual into six types, each with its own privacy concerns.
I see this as a useful step forward when talking about privacy within the context of a social network. One might release a particular type of data knowingly and willingly and with an eye toward intentionally broadcasting something. Other data, for instance when someone tags you in a photo or when a company traces your browsing behavior, may be information you want to keep more private. Distinguishing among data types, then, can help us conceptualize the larger universe of our data profile and can teach us more about how to shape it, project it, and preserve it.