How Does "English (US)" Become the Default? Triangulating Structural Bias Towards American English Across the LLM Pipeline
Large language models (LLMs) are increasingly embedded in educational, professional, and public infrastructure, yet widely used platforms expose "English (US)" as a primary English setting despite the global diversity of English. We ask: How does "English (US)" become the default? We study this question as structural bias, examining how geopolitical histories of data curation, digital dominance, and linguistic standardization intersect with the LLM development pipeline. Using British English as a controlled reference, we construct a curated resource of 1,813 matched American English (AmE)--British English (BrE) variants and introduce DiAlign, a dynamic, training-free method for estimating...
| Authors | Mir Tafseer Nayeem, Davood Rafiei |
|---|---|
| Primary category | cs.CL |
| Published | 5 April 2026 |
| Last updated at source | 28 September 2026 |
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