The politics of mien?

[theevan]

Researchers in Denmark:

Happy faces, both male and female, were also more likely to be representatives of right-wing parties, while faces with neutral expressions were more likely to be left-wing.

Although rare, women whose faces showed contempt were more likely to be representatives of left-wing parties.

www.google.com/url?sa=t&source=web&rct=j&url=https://www.psypost.org/2023/05/scientists-use-deep-learning-algorithms-to-predict-political-ideology-based-on-facial-characteristics-163780%3Famp%3D1&ved=2ahUKEwjiyYaHldf_AhV3lmoFHbEWC34QFnoECBIQAQ&usg=AOvVaw3ZdfJGRbFyk5oc8mWhtYaH

[Rob Hanesworth]

Members of both parties in the US are most likely to smile when learning about a scandal involving a member of the other party.

[Village Idiot]

Jun 22, 2023 10:32:31 GMT -5 Rob Hanesworth said:

Members of both parties in the US are most likely to smile when learning about a scandal involving a member of the other party.

Shocking.

[Russell Letson]

A quick read-through suggests a couple places where this kind of research can go sideways, starting with using the "Face API from Microsoft’s Azure’s Cognitive Services." This from Microsoft's introductory page about that service:

Microsoft will be retiring facial recognition capabilities that can be used to try to infer emotional states and identity attributes which, if misused, can subject people to stereotyping, discrimination or unfair denial of services. These include capabilities that predict emotion, gender, age, smile, facial hair, hair and makeup. Existing customers have until June 30, 2023 to discontinue use of these capabilities before they are retired.

learn.microsoft.com/en-us/azure/cognitive-services/computer-vision/overview-identity

Then there's the question of how exactly facial expressions were characterized and categorized. Our monkey brains do this kind of sorting all the time, but even then our evaluations are hardly infallible. What's a poor algorithm to do? The problem with deriving the human implications of the data is that there has to be a human in the chain somewhere, and the closest thing to a decent validation model I can think of is a large-numbers approach: show the data (pictures of faces) to a very large number of viewers and get them to do the sorting (happy, sad, angry, etc.) and use that statistical data to build a model of facial signaling.

And all this before sorting through exactly what "left" and "right" mean in a given political environment.

[theevan]

Jun 22, 2023 10:42:03 GMT -5 Russell Letson said:

A quick read-through suggests a couple places where this kind of research can go sideways, starting with using the "Face API from Microsoft’s Azure’s Cognitive Services." This from Microsoft's introductory page about that service:

Microsoft will be retiring facial recognition capabilities that can be used to try to infer emotional states and identity attributes which, if misused, can subject people to stereotyping, discrimination or unfair denial of services. These include capabilities that predict emotion, gender, age, smile, facial hair, hair and makeup. Existing customers have until June 30, 2023 to discontinue use of these capabilities before they are retired.

learn.microsoft.com/en-us/azure/cognitive-services/computer-vision/overview-identity

Then there's the question of how exactly facial expressions were characterized and categorized. Our monkey brains do this kind of sorting all the time, but even then our evaluations are hardly infallible. What's a poor algorithm to do? The problem with deriving the human implications of the data is that there has to be a human in the chain somewhere, and the closest thing to a decent validation model I can think of is a large-numbers approach: show the data (pictures of faces) to a very large number of viewers and get them to do the sorting (happy, sad, angry, etc.) and use that statistical data to build a model of facial signaling.

And all this before sorting through exactly what "left" and "right" mean in a given political environment.

So you're saying you're better looking than the majority?

[John B]

[TKennedy]

I have long been a student of driving behavior and road rage based on the face of the car.

I contend that being tailgated by a car with an an angry and aggressive face (like a black monster pickup) is much more likely to instill the assumption that the driver is an asshole than would a happy faced vehicle like a VW bug or an Austin Healy Sprite.

[Marshall]

In 2015 when I totaled my Corolla, I looked at the new redesigned models. I decided I hated the angry aggressive front ends Toyota was putting out



So I bought a Civic instead.

[billhammond]

Jun 23, 2023 11:41:45 GMT -5 TKennedy said:

I have long been a student of driving behavior and road rage based on the face of the car.

I contend that being tailgated by a car with an an angry and aggressive face (like a black monster pickup) is much more likely to instill the assumption that the driver is an asshole than would a happy faced vehicle like a VW bug or an Austin Healy Sprite.

Of course neither of these has enough power to catch up to you and tailgate.

[Marshall]

Jun 22, 2023 10:13:28 GMT -5 theevan said:

Researchers in Denmark:

Happy faces, both male and female, were also more likely to be representatives of right-wing parties, while faces with neutral expressions were more likely to be left-wing.

Although rare, women whose faces showed contempt were more likely to be representatives of left-wing parties.

www.google.com/url?sa=t&source=web&rct=j&url=https://www.psypost.org/2023/05/scientists-use-deep-learning-algorithms-to-predict-political-ideology-based-on-facial-characteristics-163780%3Famp%3D1&ved=2ahUKEwjiyYaHldf_AhV3lmoFHbEWC34QFnoECBIQAQ&usg=AOvVaw3ZdfJGRbFyk5oc8mWhtYaH

However, more attractive females were more likely to be representatives of right-wing parties.

That's all I need to know. Where's my registration link?

"STOP THE STEAL ! ! "

[TKennedy]

Jun 23, 2023 11:51:12 GMT -5 Marshall said:

In 2015 when I totaled my Corolla, I looked at the new redesigned models. I decided I hated the angry aggressive front ends Toyota was putting out



So I bought a Civic instead.

Now THAT'S a happy face!