Guess who is gay
Quiz: Which Of These Guys Are Gay?
This article originally appeared on Good Men Project and was republished here with the author&#;s permission.
With queer marriage being as prominent (and contested) as it is on social/regular media I keep asking myself how it is that some people could acquire a problem with something so harmless.
Of all issues to have, to decide a non-issue makes no sense to me.
Another excellent question to ask though with regards to this comic is what if none of these men are straight, or male lover. What if they were all bisexual? Pansexual? Or even asexual?
It’s important not to make assumptions. Sure, there can be cultural or physical indicators here and there but at the end of the day, it really doesn’t matter.
There’s this idea that you can “spot” a queer person just by looking at them, and while it’s true that some queer folk transmit their lifestyle (just appreciate how some wear football jerseys 24/7), many don’t.
My point is this, we have to stop immediately assuming that men (or people in general, really) are straight by default. What good does it do
Every day an endless stream of stereotypes surround us. Some of these stereotypes are so usual that we change position on and don’t think twice about them. For instance, certain stereotypes related with sexual orientation are based on generalizations, opinions, or even a uncomplicated lack of familiarity. Wednesday night, during National Coming Out Week, UGBC’s GLBTQ Leadership Council (GLC) held a game-show type panel titled “Guess Who’s Gay.” This event was just one of several hosted by the GLC this week, and the week will conclude with the closing ceremonies Friday, October 11 from 9PM – 1AM in the Vandy Cabaret Room (p.s. there will be a mechanical bull).
The mysterious panel of six contestants answered questions from behind a red curtain, and their identities were not revealed until the final scrutinize was asked and voting took place. Host Grant Slingerland kept the crowd roaring with laughter through witty jokes (several about BU) and some eccentric comments, and he certainly had no qualms about telling contestant six that her answers weren’t any good.
Questions ranged from favorite m
A prominent homophobic Russian politician has become the presenter of a new reality-TV show called I’m Not Gay, where male contestants compete for money to discover out which one of them is secretly gay.
The show follows 8 men who have moved into a country house together, and at the end of each episode they vote to eliminate whichever contestant they consider is gay.
If they’re right, they will get to share 2 million rubles ($28,, £21,) &#; if they’re wrong, and the gay man goes undetected, he will win it.
The challenges involve receiving lap dances from men and women and a bizarre “hole-in-the-wall” task where the contestants put their hand through a hole and grope or spank whoever is behind that wall &#; either a man or a woman in underwear &#; and then guess the gender of the person they groped.
The episode has had over a million views since it was posted to YouTube on April 25 by Russian YouTuber “Diary of Khach”, who has over 5 million subscribers.
Vitaly Milonov, the politician who presents the programme, was the author of the anti-gay &#;“pr
New AI can guess whether you're gay or unbent 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 own significantly better “gaydar” than humans.
The study from Stanford University – which set up that a computer algorithm could correctly distinguish between gay and straight men 81% of the second, 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 investigate, which was published in the Journal of Character and Social Psychology and first reported in the Economist, was based on a sample of more than 35, 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”, interpretation a sophisticated mathemat