After Andy brought this New York Times Magazine article about gender and word choice to our attention, we (me) here at BookBlog headquarters (my bedroom), decided to test the algorithm by hand-scoring a few passages. We chose a few books off the top of three piles conveniently located right behind us, and conducted our own unscientific survey. We spent an hour typing and counting and adding and subtracting, and discovered that the algorithm correctly predicted the author from our sample of 10 books 50% of the time.
Then, taking a cue from Rich and borrowing his idea for a textual gender predictor, we decided to create a little application of our own:
Despite Koppel and Argamon’s claim that their algorithm is 80% accurate, our application only manages near 50% just as our hand-scoring did.
Why would we bother to announce a gender-predicting program that’s right only half of the time? Well, we find it entertaining. Plus it amuses us when we put in passages written by a man and discover that he writes like a girl. And it’s pretty.
