FMAT

The Fill-Mask Association Test ('FMAT') doi:10.1037/pspa0000396 is an integrative and probability-based method using Masked Language Models to measure conceptual associations (e.g., attitudes, biases, stereotypes, social norms, cultural values) as propositions in natural language. Supported language models include 'BERT' doi:10.48550/arXiv.1810.04805 and its variants available at https://huggingface.co/models?pipeline_tag=fill-mask. Methodological references and installation guidance are provided at https://psychbruce.github.io/FMAT/.

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