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Stereotyping

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[Medial Stigmatization of Mentally Ill Persons after the "Germanwings"-Crash].

Psychiatrische Praxis
OBJECTIVE: The present study was designed to investigate the frequency of media stigmatization of mentally ill persons after the crash of the "Germanwings"-aircraft on March 2015.

Modeling the dynamics of evaluation: a multilevel neural network implementation of the iterative reprocessing model.

Personality and social psychology review : an official journal of the Society for Personality and Social Psychology, Inc
We present a neural network implementation of central components of the iterative reprocessing (IR) model. The IR model argues that the evaluation of social stimuli (attitudes, stereotypes) is the result of the IR of stimuli in a hierarchy of neural ...

Tracking and simulating dynamics of implicit stereotypes: A situated social cognition perspective.

Journal of personality and social psychology
Adopting a situated social cognition perspective, we relied on different methodologies-1 computational and 3 empirical studies-to investigate social group-related specificities pertaining to implicit gender-domain stereotypes, as measured by a mouse-...

Programming experience promotes higher STEM motivation among first-grade girls.

Journal of experimental child psychology
The gender gap in science, technology, engineering, and math (STEM) engagement is large and persistent. This gap is significantly larger in technological fields such as computer science and engineering than in math and science. Gender gaps begin earl...

The Origins of Social Categorization.

Trends in cognitive sciences
Forming conceptually-rich social categories helps people to navigate the complex social world by allowing them to reason about the likely thoughts, beliefs, actions, and interactions of others, as guided by group membership. Nevertheless, social cate...

Word embeddings quantify 100 years of gender and ethnic stereotypes.

Proceedings of the National Academy of Sciences of the United States of America
Word embeddings are a powerful machine-learning framework that represents each English word by a vector. The geometric relationship between these vectors captures meaningful semantic relationships between the corresponding words. In this paper, we de...