What gay face
Does ‘gay face’ actually exist? Experts have brilliant response to pseudo-science
So-called ‘gay face’ has been in the media again this week after a video went viral claiming it existed.
YouTube science teachers Mitch Moffit and Greg Brown cited controversial research that set up gay people contain different physical features than their unbent counterparts.
Their claims that AI could be trained to recognise someone’s sexuality were picked up in newspaper reports – but experts in the field said they strongly doubted this was reliable.
Dominic Lees, a professor specialising in AI at the University of Reading, said Moffit and Brown had not carried out any imaginative research, but had only reviewed earlier studies.
He told Metro: ‘Those studies have clearly not been peer-reviewed. An academic review of the work would point out that every image shown is of a white person’s tackle , despite the report’s claims to produce universal observations about “gay face”.
‘On this issue alone, the report cannot be trusted. Physiognomy varies greatly with ethnicity, ruling out any attempt to construct generalisations on sexuality.’
In the video on their YouTube channel
Gay-face IS real: You can tell a person is queer just by looking at their features, say experts
Do you think you can tell whether a person is same-sex attracted or straight simply by looking at them? Well, you could be right, say experts.
Two science educators have scoured the research behind so-called 'gay face' — the theory that homosexuals contain certain facial characteristics in common.
And, according to science, it is a actual thing — with some of us better at spotting it than others.
The phenomenon was investigated Mitch Moffit, a biologist, and Greg Brown, a science teacher — who both happen to be gay — in a command to unearth the facts.
And surprisingly, the pair discovered that 'gay-face' isn't anything to do with looking masculine or feminine.
Gay face is term used by some members of the LGBT society for being qualified to spot someone isn't straight simply by looking at their visage, and according to experts it's a actual thing
Multiple studies spanning over a decade have explored the phenomenon as adequately as who is better at spotting the features that make a confront 'gay'
Gay face has been the subject of research for over a decade.
Early studies dating endorse to 2011 set up h
Facial Hints Sharpen People's 'Gaydar'
People can judge with surprising accuracy whether someone is gay or straight — even when they're looking at a black-and-white photograph, cropped of hair and identifying marks, and presented upside down.
The findings from a University of Washington study suggest people employ a combination of clues from individual facial features and from the way those features fit together to make snap assessments about sexual orientation, said researcher Joshua Tabak, a graduate student in psychology.
"We may be doing this so efficiently that we may not even possess to try to build this judgment," Tabak told LiveScience.
You may appreciateGuessing sexual orientation
Tabak's is not the first investigation to find that people can correctly guess a person's sexual orientation from a photograph more often than just by chance. This "gaydar" isn't infallible: The rate of proper guesses is usually in the high 50 percent to mid-60 percent range, Tabak said.
Still, that's pretty impressive, he said, given that researchers leverage cropped faces without hair, jewelry or other doable hints about sexual orientation. [5 Myths About Queer People Debunked]
What earlier stu
New AI can guess whether you're gay or vertical from a photograph
Artificial intelligence can accurately guess whether people are gay or straight based on photos of their faces, according to new research that suggests machines can include significantly better “gaydar” than humans.
The study from Stanford University – which create that a computer algorithm could correctly distinguish between gay and straight men 81% of the period, and 74% for women – has raised questions about the biological origins of sexual orientation, the ethics of facial-detection technology, and the potential for this kind of software to violate people’s privacy or be abused for anti-LGBT purposes.
The machine intelligence tested in the study, which was published in the Journal of Ego and Social Psychology and first reported in the Economist, was based on a sample of more than 35,000 facial images that men and women publicly posted on a US dating website. The researchers, Michal Kosinski and Yilun Wang, extracted features from the images using “deep neural networks”, sense a sophisticated mathematical system that learns to examine visuals based on a large dataset.
The research create that gay
By Nouran Sakr
Algorithm Achieves Higher Accuracy Rates than Humans
A review from Stanford University suggests that a deep neural network (DNN) can distinguish between gay and vertical people, with 81 per cent accuracy in men and 71 per cent in women. The analyze was based on a sample of 35,326 facial images of white men and women that were posted publicly on a US dating website. The DNN, a machine education system, was presented with pairs of images, where one individual was lgbtq+ and the other was straight.
The DNN’s algorithm displayed even higher accuracy rates when presented with five facial images per person: 91 per cent in men and 83 per cent accuracy in women. Human judges, when presented with one image, achieved a much lower accuracy rate: 61 per cent for men and 54 per cent for women.
According to the research, there were certain trends in facial features that distinguished between gay and unbent people. Narrower jaws, larger foreheads, and longer noses were common among same-sex attracted men, while gay women were more likely to have smaller foreheads and wider jaws.
The authors of the report, Yilun Wang and Michal Kosinski, concluded that homosexual men and women have more andr