It's depressing that this is news. See, for example, computer models of global warming. This would have been more impressive if the authors had used other profile data to infer sexual preference. Online social networks like this Facebook one might reveal more about you than you think. You cannot expect even a modicum of privacy when you do that. So basically they didn't prove anything, they have anecdotal evidence. Want more news like this? A new project at MIT claims to be able to predict sexual orientation based on cues from a person's Facebook page. Turns out that statistically speaking, gay men have more gay friends than straight guys do. This is perhaps less impressive than you would think.
Well, a couple of MIT geniuses invented just the tool for you. Facebook Gaydar Emerges From Breakthrough MIT Project. K. Ryan Tate. Gaydar is a colloquialism referring to the intuitive ability of a person to assess others' sexual orientations as gay, bisexual or heterosexual.
Gaydar relies on.
'Gaydar' on Facebook Can Your Friends Out You ABC News
Possibly, say two Massachusetts Institute of Technology students in an experiment that's anything but fabulous. In the project, dubbed "Gaydar," Jernigan and Mistree pored over Facebook data compiled from a software program looking at the gender and sexuality of a user's friends.
The rest of the time, it's impossible to tell from Facebook alone.
The largest anthropogenic contributors are still greenhouse gases, directly. Gay men had proportionally more gay friends than straight men, giving the computer program a way to infer a person's sexuality based on their friends.
KirinDave on Sept 20, Based on that information, the students say people may be unintentionally "outing" themselves because they were able to predict, with accuracy, whether someone is gay.
Video: Gaydar mit Interview with HURTS on Gaydar Radio (part 1)
If you have a problem with people reading what you write, don't write it! And other researchers have used Internet social networks to correctly identify peoples' political affiliations or where they live.
This test will.
Video: Gaydar mit GAY-DAR
After analyzing 4, Facebook profiles from the MIT network, we determined that the percentage of a given user's friends who self–identify as gay male is. gay or straight based on photos of their faces, according to new research that suggests machines can have significantly better “gaydar” than.
Do you really need a degree from MIT to apply the adage birds of a feather flock together?
GAYDAR Your Facebook Friends Can Reveal Your Sexual Orientation
Watch some mathematical slight of hand: DaniFong on Sept 20, In information retrieval, you rarely get that sort of number out of unstructured data. On a public forum.
(Full article: words). Using data from the social network Facebook, they made a striking discovery: just by looking at a person's online friends, they could predict. Whether he has now created “A.I.
gaydar,” and whether that's even an. Tomaso Poggio, the director of M.I.T.'s Center for Brains, Minds and.
Absolutely no way to evaluate whether this has any value whatsoever.
Gaydar Algorithm Outs Facebook Users Popular Science
They're ignorant and stupid but they can be educated. If you have some deep dark secret that you don't want the world to know, then don't go around posting it on a system that bills itself as a way of providing ubiquitous access to everything posted to it!
On a totally different note, much of the worries of privacy experts with regards to Gaydar and similar programs don't require the AI to be functional to come to pass. Do you really need a degree from MIT to apply the adage birds of a feather flock together?
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|There's a big fat whopping difference here.
This is one reason why "An AI which reads your work and guesses your gender" works so amazingly well as a tech demo.
Seems odd that work done in is reported in the popular press in and yet the results are not available because the authors "are hoping to have it published in a journal. If you have a lot of gay friends, then Facebook tells you how many mutual friends you have with new people. Your program will, out of a sample ofFacebookers, identify 1, people as being DSX.