SOURCE-LINKED INTELLIGENCE
Geopolitical Divisions Across Languages in Large Language Models
People increasingly turn to AI chatbots for news and explanations of world events. But do they receive the same political answers when they ask in different languages? Here we show that the language of a question can change how the same AI systems assess the war in Ukraine. We ask GPT, Claude and Gemini to evaluate twenty statements about the war in 112 languages, collecting 67,200 responses. The balance between Russia-leaning and Ukraine-leaning responses differs across languages. When we group responses by countries' official languages, they follow a pattern resembling worldwide political di
Read original source ↗ Open in workspace
- recordType
- paper
- region
- Global
Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-17T10:08:53.000Z
- arXiv · Artificial Intelligence · 2026-09-17T10:08:53.000Z
First collected: 2026-09-19T20:26:32.566Z. This is not the publication date.