Kosinski’s Latest Paper Claims ‘Facial Recognition Technology Can Expose Political Orientation From Naturalistic Facial Images’

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Michal Kosinski, a Stanford-affiliated researcher, claims to build an algorithm to expose people’s political views from social media profiles and facial expressions. He used a dataset of over 1 million Facebook and dating sites profiles. He trained an algorithm that, according to him, can correctly classify political orientation in 72% of “liberal-conservative” face pairs.

His work revolves around the idea that a person’s personality can be judged from their appearance. According to Kosinski, several facial features such as head orientation, age, gender, emotional expression, and ethnicity reveal political affiliation.

Read Full Summary: https://www.marktechpost.com/2021/01/16/kosinskis-latest-paper-claims-facial-recognition-technology-can-expose-political-orientation-from-naturalistic-facial-images/

Paper: https://www.nature.com/articles/s41598-020-79310-1

Dataset & Code: https://osf.io/c58d3/

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