The emerging science of interacting minds

T Wheatley, MA Thornton, A Stolk… - Perspectives on …, 2024 - journals.sagepub.com
For over a century, psychology has focused on uncovering mental processes of a single
individual. However, humans rarely navigate the world in isolation. The most important …

A 3D framework of implicit attitude change

B Kurdi, TES Charlesworth - Trends in Cognitive Sciences, 2023 - cell.com
According to early theories, implicit (automatic) social attitudes are difficult if not impossible
to change. Although this view has recently been challenged by research relying on …

Historical representations of social groups across 200 years of word embeddings from Google Books

TES Charlesworth, A Caliskan… - Proceedings of the …, 2022 - National Acad Sciences
Using word embeddings from 850 billion words in English-language Google Books, we
provide an extensive analysis of historical change and stability in social group …

Detecting emergent intersectional biases: Contextualized word embeddings contain a distribution of human-like biases

W Guo, A Caliskan - Proceedings of the 2021 AAAI/ACM Conference on …, 2021 - dl.acm.org
With the starting point that implicit human biases are reflected in the statistical regularities of
language, it is possible to measure biases in English static word embeddings. State-of-the …

Hate speech classifiers learn normative social stereotypes

AM Davani, M Atari, B Kennedy… - Transactions of the …, 2023 - direct.mit.edu
Social stereotypes negatively impact individuals' judgments about different groups and may
have a critical role in understanding language directed toward marginalized groups. Here …

Patterns of Implicit and Explicit Stereotypes III: Long-Term Change in Gender Stereotypes

TES Charlesworth, MR Banaji - Social Psychological and …, 2022 - journals.sagepub.com
Gender stereotypes are widely shared “collective representations” that link gender groups
(eg, male/female) with roles or attributes (eg, career/family, science/arts). Such collective …

Gender bias in word embeddings: A comprehensive analysis of frequency, syntax, and semantics

A Caliskan, PP Ajay, T Charlesworth, R Wolfe… - Proceedings of the …, 2022 - dl.acm.org
Word embeddings are numeric representations of meaning derived from word co-
occurrence statistics in corpora of human-produced texts. The statistical regularities in …

[图书][B] Choice words: How our language affects children's learning

P Johnston - 2023 - taylorfrancis.com
In productive classrooms, teachers don't just teach students math and reading skills; they
build emotionally and relationally healthy learning communities. Teachers create intellectual …

Based on billions of words on the internet, people = men

AH Bailey, A Williams, A Cimpian - Science Advances, 2022 - science.org
Recent advances have made it possible to precisely measure the extent to which any two
words are used in similar contexts. In turn, this measure of similarity in linguistic context also …

[HTML][HTML] On the trajectory of discrimination: A meta-analysis and forecasting survey capturing 44 years of field experiments on gender and hiring decisions

M Schaerer, C Du Plessis, MHB Nguyen… - … Behavior and Human …, 2023 - Elsevier
A preregistered meta-analysis, including 244 effect sizes from 85 field audits and 361,645
individual job applications, tested for gender bias in hiring practices in female-stereotypical …