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LLMs reveal two centuries of sexism in UK parliamentary debates

A new computational analysis of over two centuries of UK parliamentary debates reveals persistent sexism in language used to discuss women's representation. Researchers utilized large language models to classify speeches from the Hansard Corpus (1803-2005), finding that 54% of speeches opposing women's representation contained sexist content, compared to 21% of those in favor. The study also identified distinct types of sexism used by each side, with pro-suffrage sexism being predominantly benevolent, while anti-suffrage rhetoric combined hostile and benevolent framing. The analysis further showed that female MPs were more likely to support women's political rights than male MPs, a gap that narrowed after women gained suffrage. AI

IMPACT Highlights how LLMs can be used to analyze historical linguistic patterns and uncover societal biases.

RANK_REASON Academic paper detailing computational analysis of historical text data. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

LLMs reveal two centuries of sexism in UK parliamentary debates

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Academic paper detailing computational analysis of historical text data. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Mohammad Omar Khursheed, Mandira Sawkar, Ashiqur R. KhudaBukhsh ·

    Two Centuries of Sexism in British Parliament: A Computational Analysis of Women's Representation in the Hansard Corpus

    arXiv:2608.30485v1 Announce Type: new Abstract: The language a legislature uses to debate women's rights, even in favour of them, encodes systematic patterns of sexism that persist across two centuries. In this work, we analyse 6,531 speeches over 200 years of UK parliamentary de…