Bias in Large Language Models Through the Lens of Data Feminism
This paper systematically examines bias in Large Language Models (LLMs) through the lens of Data Feminism. The research demonstrates that bias in LLMs is not an issue of technical neutrality, but rather a systematic reproduction of societal power structures embedded in data collection, algorithmic design, and output ge...