This revival has been confirmed in the 2010s with the rise of machine learning for facial recognition. For instance, researchers have claimed that it is possible to predict upper body strength and some personality traits (propensity to aggression) only by looking at the width of the face. In 2017, a controversial study claimed that an algorithm could detect sexual orientation 'more accurately than humans' (in 81% of the tested cases for men and 71% for women). According to BBC News, "The work has been accused of being dangerous' and 'junk science'". In early 2018, researchers, among them two specialists of AI working at Google (one of the two on face recognition), issued a reportedly contradicting study based on a survey of 8,000 Americans using Amazon's Mechanical Turk crowdsourcing platform. The survey yielded many traits helping to discriminate between gay and straight respondents with a series of yes/no questions. These traits had actually less to do with morphology than with grooming, presentation, and lifestyle (makeup, facial hair, glasses, selfie angle, etc.). For more information of this sexual orientation issue in general, see Gaydar.