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"The anonymity of the Netflix Prize dataset has been broken by a pair of computer scientists from the University of Texas, according to a report from the physics arXivblog. It turns out that an individual's set of ratings and the dates on which they were made are pretty unique, particularly if the ratings involve films outside the most popular 100 movies. So it's straightforward to find a match by comparing the anonymized data against publicly available ratings on the Internet Movie Database (IMDb) (abstract on the physics arxiv). The researchers used this method to find how individuals on the IMDb privately rated films on Netflix, in the process possibly working out their political affiliation, sexual preferences and a number of other personal details"

It tries to authorize sharing and reuse — not within a commercial economy, but within a sharing economy. It tries to do so in a way that wouldn't trigger at least most non-copyright rights (though again, most is not all -- a CC BY-NC licensed photograph by a voyeur still violates rights of privacy, for example). And it tries to do so in a way that protects the copyright owner against presumptions about the waiver of his rights suggested by posting a work freely.