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Deep learning techniques can use public data such as facial photographs to predict sensitive personal information, but little is known about what information contributes to the predictive success of these techniques. This lack of knowledge limits both the public's ability to protect against revealing unintended information as well as the scientific utility of deep learning results. We combine convolutional neural networks, heat maps, facial expression coding, and classification of identifiable features such as masculinity and attractiveness in our study of political ideology in 3323 Danes. Predictive accuracy from the neural network was 61% in each gender. Model-predicted ideology correlated with aspects of both facial expressions (happiness vs neutrality) and morphology (specifically, attractiveness in females). Heat maps highlighted the informativeness of areas both on and off the face, pointing to methodological refinements and the need for future research to better understand the significance of certain facial areas. [ABSTRACT FROM AUTHOR]

Almost 40 years ago, evidence from large studies of adult twins and their relatives suggested that between 30 and 60 % of the variance in social and political attitudes could be explained by genetic influences. However, these findings have not been widely accepted or incorporated into the dominant paradigms that explain the etiology of political ideology. This has been attributed in part to measurement and sample limitations, as well the relative absence of molecular genetic studies. Here we present results from original analyses of a combined sample of over 12,000 twins pairs, ascertained from nine different studies conducted in five democracies, sampled over the course of four decades. We provide evidence that genetic factors play a role in the formation of political ideology, regardless of how ideology is measured, the era, or the population sampled. The only exception is a question that explicitly uses the phrase 'Left-Right'. We then present results from one of the first genome-wide association studies on political ideology using data from three samples: a 1990 Australian sample involving 6,894 individuals from 3,516 families; a 2008 Australian sample of 1,160 related individuals from 635 families and a 2010 Swedish sample involving 3,334 individuals from 2,607 families. No polymorphisms reached genome-wide significance in the meta-analysis. The combined evidence suggests that political ideology constitutes a fundamental aspect of one's genetically informed psychological disposition, but as Fisher proposed long ago, genetic influences on complex traits will be composed of thousands of markers of very small effects and it will require extremely large samples to have enough power in order to identify specific polymorphisms related to complex social traits. [ABSTRACT FROM AUTHOR]

In this study we provide new evidence on the much-discussed effect of education on political participation by utilizing the quasi-experiment of twinning. By looking at the relationship between education and participation within monozygotic (MZ) twin pairs we are able to circumvent traditional sources of confounding of the relationship rooted in genes and early life family environment because MZ twins share both. The results of within-twin pair analyses based on surveys from the United States, Denmark and Sweden show that while the relationship between education and political participation is highly confounded by genes and/or familial environment in all three countries, a positive impact remains of years of education in the US and of high school completion in Denmark. No effect is found in Sweden. Robustness checks suggest that the observed effect is not confounded by within-twin pair differences in prenatal environment nor differential treatment during childhood, and, if anything, that it most likely constitutes a lower bound estimate. [ABSTRACT FROM AUTHOR]