2026-10-22 チャルマース工科大学
＜関連情報＞
- https://news.cision.com/chalmers/r/five-out-of-six-ai-chatbots-stay-in-the-political-middle-ground,c4412506
- https://arxiv.org/abs/2609.15207
生成AIによる文章作成支援におけるバイアス問題：2026年スウェーデン総選挙における政治的課題と大規模言語モデル（LLM） Issue Bias in Generative AI Writing Assistance: Political Issues and LLMs in the Swedish 2026 Election
Bastiaan Bruinsma, Annika Fredén, Paul Röttger, Moa Johansson, Asad Sayeed
arXiv last revised 28 Sep 2026 (this version, v2)
DOI:https://doi.org/10.48550/arXiv.2609.15207
Abstract
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.
