Bullshit. Phrenology/Craniology was shown to be 100% false 100 years ago.
AI Can Tell Your Political Affiliation Just by Looking at Your Face, Researchers Find
Submitted 6 months ago by return2ozma@lemmy.world to technology@lemmy.world
https://gizmodo.com/ai-can-tell-your-political-affiliation-just-by-looking-1851430714
Comments
Buffalox@lemmy.world 6 months ago
eager_eagle@lemmy.world 6 months ago
you’re putting mental traits in the same bucket as political leaning?
bender223@lemmy.today 6 months ago
Sure, AI can do anything, but can it tell us why kids love the taste of Cinnamon Toast Crunch™️?
TimeSquirrel@kbin.social 6 months ago
Sugar. It's the metric fucktons of sugar.
londos@lemmy.world 6 months ago
Or how many licks it takes to get to the tootsie roll center of a tootsie pop?
cmnybo@discuss.tchncs.de 6 months ago
What’s the accuracy? About 50% AKA random chance?
eager_eagle@lemmy.world 6 months ago
about 98% 50% of the time
jokes aside, this is just another clickbaity headline that distorts the actual conclusion of the study
slacktoid@lemmy.ml 6 months ago
This is obviously a lie. The only thing you can tell about a person by looking at their face is whether they are a cop or not. More thumb shaped more likely they are a cop. /s
veeesix@lemmy.ca 6 months ago
According to this analysis—and, I have to warn you, it’s kinda funny—liberals and conservatives have markedly different facial morphology. Liberals have “smaller lower faces” and “lips and noses [that] are shifted downward,” and chins that “are smaller” than conservatives, researchers write. Researchers repeat the key conclusion later on: “liberals tended to have smaller faces.”
So, according to this theory, if you have a tiny face, you’re probably a progressive. Or, by contrast, if you have a big fat face, there’s a good chance you might be a Trump voter.
AbidanYre@lemmy.world 6 months ago
“liberals tended to have smaller faces.”
Charlie Kirk begs to differ.
Kalkaline@leminal.space 6 months ago
I don’t believe it at all
db2@lemmy.world 6 months ago
I believe it, I’m correct about it like 98% of the time too.
catloaf@lemm.ee 6 months ago
I’m not giving gizmodo a click, but I’d be happy to read the study if anyone has a link. Mostly I want to know if they controlled for weight. There is a correlation between urban, liberal, and healthy, and between rural, conservative, and overweight.
eager_eagle@lemmy.world 6 months ago
catloaf@lemm.ee 6 months ago
Looks like they did control for those factors, but I didn’t keep reading as far as the exact methodology. Fascinating nonetheless!
mwalimu@baraza.africa 6 months ago
We demonstrate that political orientation can be predicted from neutral facial images by both humans and algorithms, even when factors like age, gender, and ethnicity are accounted for. This indicates a connection between political leanings and inherent facial characteristics, which are largely beyond an individual’s control. Our findings underscore the urgency for scholars, the public, and policymakers to recognize and address the potential risks of facial recognition technology to personal privacy.
“peer-reviewed” bullshit.
systemglitch@lemmy.world 6 months ago
Lol, and people will gobble this up.
NeoNachtwaechter@lemmy.world 6 months ago
I can tell your political affiliation by looking out of my window: If the clouds are moving to the left…
/s
otp@sh.itjust.works 6 months ago
I recall studies that have found correlations to…maybe it was the size of brain structures? (Specifically the amygdala)
I wouldn’t be surprised if there were something confounding that resulted in both a larger amygdala and some sort of change in facial structure.
But given that this article misrepresents the findings of the article, I wouldn’t put too much weight on it.
eager_eagle@lemmy.world 6 months ago
sigh
The news:
The paper:
homesweethomeMrL@lemmy.world 6 months ago
So the headline is 100% wrong.
Everythingispenguins@lemmy.world 6 months ago
Only the words between AI and find. The rest of the headline is fine.
ArtVandelay@lemmy.world 6 months ago
It almost seems like someone did a linear regression, when a logistic regression model would be more appropriate.
brian@lemmy.ca 6 months ago
What’s amusing to me is that they referred to the job interviewer having similar reliability, but didn’t say whether it was good or not. Purely let the bias of the article imply that they were highly reliable.