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This is a Quantitative Study study.

October 3, 2025Open Access

Gender and Political Bias in Large Language Models: A Demonstration Platform

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Authors

WLW.J. LinNational Cheng Kung University HLHan‐Wen LiuChangsha University of Science and Technology XMXiaorong MaoFirst Hospital of Lanzhou University

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Implication

Demonstration platform assesses performance bias in large language models during vote prediction, highlighting gender disparity in European Parliament decisions.

Key Points

The platform identifies systematic performance bias in large language models during vote prediction tasks, especially related to gender.
Key metrics reveal significant disparities in how LLMs process demographic data, affecting their accuracy in political analysis.
Utilizing an interactive system, users can explore European Parliament debates and compare real votes with machine predictions.
By enabling data integration and visual analytics, the platform supports broader research and engagement in legislative processes.

Cite This Study

Lin et al. (2025) studied this question.

synapsesocial.com/papers/68e040f3a99c246f578b3699 https://doi.org/10.48550/arxiv.2509.16264

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Implication

Demonstration platform assesses performance bias in large language models during vote prediction, highlighting gender disparity in European Parliament decisions.

Gender and Political Bias in Large Language Models: A Demonstration Platform

Discussion

Member takes

Implication

Key Points

Cite This Study

Gender and Political Bias in Large Language Models: A Demonstration Platform

Discussion

Member takes

Implication

Key Points

Cite This Study

Also Consider

Also Consider