瑞典2026大选前六款大模型政治立场研究
Issue Bias in Generative AI Writing Assistance: Political Issues and LLMs in the Swedish 2026 Election
朋友研究发现在瑞典大选前，Claude、DeepSeek这些大模型在移民、犯罪等议题上立场和政党有差异，值得看看具体对比结果。
研究考察了Claude、DeepSeek、Gemini、Mistral、ChatGPT和Grok六款大模型在瑞典政策议题上的立场。通过107个政策提案和77个写作模板，发现Claude、DeepSeek、Gemini和Mistral立场相似；ChatGPT更倾向中立；Grok在移民、犯罪和性别议题上差异最大。与瑞典八个政党对比后，社会民主党与所有模型立场最接近，但模型间差异在统计上不显著。
Issue Bias in Generative AI Writing Assistance: Political Issues and LLMs in the Swedish 2026 Election
Generative AI writing assistants and the Large Language Models (LLMs) that power them are increasingly part of how voters gather information before elections. With growing evidence that they influence users' opinions, it is increasingly important to understand the views and positions of these tools. To better understand these views, we examine the stances supplied by six LLMs on a variety of Swedish-language writing tasks ahead of the 2026 Swedish parliamentary election. We cross 107 policy propositions with 77 writing templates and neutral, positive, and negative prompt framings, producing 24,717 prompts per model and 148,302 responses. To study these, we look at the models' default stance tendencies, compare how they respond to similar issues, and compare their responses with those of each of Sweden's eight parliamentary parties on the same issue. We find that Claude, DeepSeek, Gemini, and Mistral have similar profiles; ChatGPT more often supplies neutral or ambivalent text; and Grok differs most on topics such as migration, crime, and gender. When comparing the political parties, we find that the Social Democrats are closest to all six models. Still, after correcting for multiple comparisons, none of the within-model differences in party distances remains significant. Overall, we find that no model has a clear preference, nor a clear preference for a party, but that this depends on the specific issue or task the user asks about.
