FMAT-package: FMAT: The Fill-Mask Association Test

In FMAT: The Fill-Mask Association Test

FMAT: The Fill-Mask Association Test

Description

The Fill-Mask Association Test ('FMAT') \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1037/pspa0000396")} is an integrative, probability-based social computing method using Masked Language Models to measure conceptual associations (e.g., attitudes, biases, stereotypes, social norms, cultural values) as propositional semantic representations in natural language. Supported language models include 'BERT' \Sexpr[results=rd]{tools:::Rd_expr_doi("10.48550/arXiv.1810.04805")} and its variants available at 'Hugging Face' https://huggingface.co/models?pipeline_tag=fill-mask. Methodological references and installation guidance are provided at https://psychbruce.github.io/FMAT/.

Author(s)

Maintainer: Han Wu Shuang Bao [e-mail] (ORCID)

See Also

Useful links:

• https://psychbruce.github.io/FMAT/

• Report bugs at https://github.com/psychbruce/FMAT/issues

FMAT documentation built on Jan. 12, 2026, 9:08 a.m.