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Genetic underpinnings of the sex bias in autism spectrum disorder

Lee et al. | Mar 29, 2024

Genetic underpinnings of the sex bias in autism spectrum disorder
Image credit: Louis Reed

Here, seeking to identify a possible explanation for the more frequent diagnosis of autism spectrum disorder (ASD) in males than females, they sought to investigate a potential sex bias in the expression of ASD-associated genes. Based on their analysis, they identified 17 ASD-associated candidate genes that showed stronger collective sex-dependent expression.

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Quantitatively evaluating changes in art critique journals’ use of moral language across time

Chang et al. | Oct 23, 2026

Quantitatively evaluating changes in art critique journals’ use of moral language across time
Image credit: Chang and Mahmoud

The authors use MoralBERT, a BERT-based machine learning model, to analyze the prevalence and evolution of moral language in art critique journals from 1960 to 2015. They draw on Moral Foundations Theory to examine changes in five virtue and five vice foundations over time. They discover slight increases in degradation and care and a decrease in purity among otherwise stable patterns. The study is a novel application of computational moral analysis in a domain not typically associated with such tools. Although the moral signals were relatively faint, the study offers insights into shifting art world discourses and models an exciting method for future inquiry.

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The Role of Race in the Stereotyping of a Speaker’s Accent as Native or Non-native

Bhuvanagiri et al. | Jan 07, 2019

The Role of Race in the Stereotyping of a Speaker’s Accent as Native or Non-native

In the modern world, communication and mobility are no longer obstacles. A natural consequence is that people from all over the world are mixing like never before and national identity can no longer be determined simply by a person's appearance or manner of speech. In this article, the authors study how a person's accent interferes with the perception of a their national identity and proposes ways to eliminate such biases.

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