How Big Data Confirms, And Sometimes Confounds, Gender Stereotypes

If you think you have problems on Tinder, spare a thought for Michael. Michael, 24, entered the New York dating scene with a bold flourish. He swiped right on every available singleton in the city - then waited. And waited. Just 0.6% of the city liked him back. Of those who did, subsequent analysis showed almost 90% were gay men. Michael did not get many dates.  Michael, of course, was a computer program. But unlike most such bots, he was not selling anything or stealing data - he was creat