权力的回声：探究中美大语言模型中的地缘政治偏见
Echoes of Power: Investigating Geopolitical Bias in US and China Large Language Models
AI总结：
本研究通过定性与定量分析ChatGPT和DeepSeek对地缘政治问题的回复，发现中美大语言模型均存在反映各自意识形态的地缘政治偏见，但部分问题上回复一致性超预期，凸显了评估AI生成内容的重要性。
摘要：
大语言模型（LLMs）已成为生成类人文本的强大工具，革新了人机交互方式。然而，其广泛应用也引发了人们对其可能影响公众舆论、塑造政治叙事的担忧。本研究探究中美大语言模型中的地缘政治偏见，重点关注这些模型如何回应地缘政治与国际关系相关问题。我们收集了ChatGPT和DeepSeek针对一组地缘政治问题的回复，并通过定性与定量分析评估其输出。研究结果显示，两个模型均存在显著偏见，反映出各自不同的意识形态视角与文化影响。但尽管存在这些偏见，在部分问题上，模型的回复一致性超出预期，表明它们在处理敏感话题时未必会呈现直接对立的观点。本研究凸显了大语言模型塑造公共话语的潜力，强调了批判性评估AI生成内容的重要性，尤其是在政治敏感语境下。
英文摘要：
Large Language Models (LLMs) have emerged as powerful tools for generating human-like text, transforming human-machine interactions. However, their widespread adoption has raised concerns about their potential to influence public opinion and shape political narratives. In this work, we investigate the geopolitical biases in US and Chinese LLMs, focusing on how these models respond to questions related to geopolitics and international relations. We collected responses from ChatGPT and DeepSeek to a set of geopolitical questions and evaluated their outputs through both qualitative and quantitative analyses. Our findings show notable biases in both models, reflecting distinct ideological perspectives and cultural influences. However, despite these biases, for a set of questions, the models' responses are more aligned than expected, indicating that they can address sensitive topics without necessarily presenting directly opposing viewpoints. This study highlights the potential of LLMs to shape public discourse and underscores the importance of critically assessing AI-generated content, particularly in politically sensitive contexts.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
