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images.jpgThat’s the title of an Ars Technica article today. The article discusses, at length, the problem with Google’s metadata and says:

Google’s counting method relies entirely on its enormous metadata collection—almost one billion records—which it winnows down by throwing out duplicates and non-book items like CDs. The result is a book count that’s arrived at by a kind of process of elimination. It’s not so much that Google starts with a fixed definition of “book” and then combs its records to identify objects with those characteristics; rather, the GBS algorithm seeks to identify everything that is clearly not a book, and to reject all those entries. It also looks for collections of records that all identify the same edition of the same book, but that are, for whatever reason (often a data entry error), listed differently in the different metadata collections that Google subscribes to.

But the problem with Google’s count, as is clear from the GBS count post itself, is that GBS’s metadata collection is a riddled with errors of every sort. Or, as linguist and GBS critic Goeff Nunberg put it last year in a blog post, Google’s metadata is “train wreck: a mish-mash wrapped in a muddle wrapped in a mess.”

 
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