Automated book-culling software drives librarians to create fake patrons to « check out » endangered titles / Boing Boing

/automated-book-culling-softwar.html

  • Automated book-culling software drives librarians to create fake patrons to “check out” endangered titles / Boing Boing
    http://boingboing.net/2017/01/02/automated-book-culling-softwar.html

    Two employees at the East Lake County Library created a fictional patron called Chuck Finley — entering fake driver’s license and address details into the library system — and then used the account to check out 2,361 books over nine months in 2016, in order to trick the system into believing that the books they loved were being circulated to the library’s patrons, thus rescuing the books from automated purges of low-popularity titles.

    Library branch supervisor George Dore was suspended for his role in the episode; he said that he was trying to game the algorithm because he knew that these books would come back into vogue and that his library would have to spend extra money re-purchasing them later. He said that other libraries were doing the same thing.

    This is datification at its worst: as Cennydd Bowles writes, the pretense that the data can tell you what to optimize as well as how to optimize it makes systems incoherent — it’s the big data version of “teaching to the test.” The library wants to be efficient at stocking books its patrons will enjoy, so it deploys software to measure popularity, and raises the outcomes of those measurements over the judgment of the skilled professionals who acquire and recommend books, who work with patrons every day. Instead of being a tool, the data becomes a straightjacket: in order to get the system to admit the professional judgment of librarians, the librarians have to manufacture data to put their thumbs on its scales. The point of the library becomes moving books by volume (which is only one of the several purposes of a library), and “the internal framing of users shifts. Employees start to see their users not as raison d’être but as subjects, as means to hit targets. People become masses, and in the vacuum of values and vision, unethical design is the natural result. Anything that moves the needle is fair game: no one is willing to argue with data.”

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