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Large Language Models Reflect the Ideology of their CreatorsThis study examines the ideological stances of large language models (LLMs) by analyzing their responses to prompts about a vast set of historical figures. The authors discovered that LLMs often reflect the worldview of their creators, demonstrating significant differences in their evaluations of political figures depending on the prompting language, the region of their creation, and even the company that developed them. The study reveals that LLMs are not ideologically neutral and raises concerns about the potential for political manipulation and the need for transparency and regulation in the development and use of LLMs.
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Link to paper