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FMAT: The Fill-Mask Association Test
The Fill-Mask Association Test ('FMAT') <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' <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/>.
Getting started
Browse package contents
Package details |
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| Author | Han Wu Shuang Bao [aut, cre] (ORCID: <https://orcid.org/0000-0003-3043-710X>) |
| Maintainer | Han Wu Shuang Bao <baohws@foxmail.com> |
| License | GPL-3 |
| Version | 2026.1 |
| URL | https://psychbruce.github.io/FMAT/ |
| Package repository | View on CRAN |
| Installation |
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