Last month, netizens were surprised to find that some high profile women bloggers were actually men. A Syrian lesbian dissident and an American lesbian activist have come out of the closet as married white men of a decidely leftward socio-political orientation. Poor white leftist men—they have fully internalized the anti-white, man hating venom of their cohorts. We observers get to feast on the endlessly fascinating consequences of their false consciousness. Mark Steyn humorously comments on l’affaire gouine fausse: “Why liberals fell for ‘Muslim lesbian blogger’ hoax” and “Is Every Lesbian Blogger a Middle-Aged Man?” Given this sensational deception in blogdom, online suspicions about the real identities behind the entries have risen. In case anyone wonders, I assure you that I am not a Burmese transgendered lesbian assassin living in Tokyo. Some will obstinately refuse to believe me, but I am telling the truth.
In this atmosphere of doubt, hbd chick asked if there was a Turing test method to find out if an online persona really is of the sex that he or she claims. She discovered that the Stevens Institute of Technology has developed a textual analysis program that determines whether the author is a man or a woman. I was skeptical but quite intrigued. So, I entered the text of one of my recent posts, and the program quickly decided that I was 81.61% male. I then needed to enter a serious woman’s text about a serious issue, thinking that I would baffle the program by offering rational arguments and substanative commentary. Blog entries are ideal candidates for such analysis because they are less formal and more idiomatic expressions; academic writing might be too uniform in style for the program to work. So, I submitted Lydia McGrew’s post, “God’s Limitations,” confident that I had tricked the machine. The sextual analysis took some time, but then the oracle proclaimed that the author was 62.17% female. I was impressed. McGrew is a rational, insightful writer, and yet the program still detected that she was a woman. Amazing! I want to know which textual traits it associates with men and women.
Go ahead and sext something. There are worse ways to waste time on the web. I wonder if the software could pass the G.E.M. Anscombe test.