This is why right-wing politicians are more likely to have a happy facial expression in photos, while people with a neutral facial expression tend to describe themselves as left-wingers.
The use of deep learning in artificial intelligence makes it possible to predict a person’s political ideology with 61% accuracy when analyzing a photo.
Researchers at Aarhus University in Denmark trained a neural network on thousands of photos of politicians and used facial recognition technology and other algorithms to determine candidates’ emotional state, attractiveness and masculinity.
Interestingly, attractive female politicians are more likely to hold conservative views, while male attractiveness and masculinity are not associated with political ideology.
However, the study also highlights the potential privacy threats associated with the use of deep learning.
Source: Ferra
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