Adult semantic memory has been traditionally conceptualized as a relatively static memory
system that consists of knowledge about the world, concepts, and symbols. Considerable …

Technology now makes it possible to understand efficiently and at large scale how people
use language to reveal their everyday thoughts, behaviors, and emotions. Written text has …

In 1893, the editor of the New York World, John Speed, wanted to see whether newspa-pers
had changed their approach to reporting the news. He suspected that newspapers were …

Deep-learning methods can extract high-dimensional feature vectors for objects, concepts,
images, and texts from large-scale digital data sets. These vectors are proxies for the mental …

We present a computational model capable of simulating aspects of human knowledge for
thousands of real-world concepts. Our approach involves a pretrained transformer network …

What are the sources of individual-level differences in risk taking, and how do they depend
on the domain or situation in which the decision is being made? Psychologists currently …

We show that people's perceptions of public figures' personalities can be accurately
predicted from their names' location in GPT-3's semantic space. We collected Big Five …

We present a computational method for predicting, and identifying the correlates of,
leadership perceptions for prominent individuals. Our approach proxies knowledge …

People make subjective judgments about the healthiness of different foods every day, and
these judgments in turn influence their food choices and health outcomes. Despite the …

Similarity is one of the most important relations humans perceive, arguably subserving
category learning and categorization, generalization and discrimination, judgment and …