Reuters Institute released the Digital News Report 2026, revealing trends and trust gaps when using AI chatbots as news sources
Key Facts
Usage Growth
Global AI chatbot usage for news increased from 7% to 10% within a year 44% of active AI chatbot users trust AI-generated news But only 4% regularly click to view original news sources
Trust Among Different Groups
Among non-users, only 17% trust AI news Pew survey supplement: 49% of Americans use AI chatbots, 60% read AI summaries, but few believe AI benefits outweigh drawbacks
Significance: "Trust Deficit" is the Main Challenge
AI is rapidly growing in its role as a news aggregator, but "trust deficit" remains the core challenge
Two Major Problems:
- Information Bubble — Users rely on AI summaries but don't return to primary sources, creating narrow information accumulation
- Traffic Loss — Traditional news media lose traffic as readers don't need to click through to full content
Impact on News Ecosystem
Relying on AI for news has profound effects on the news ecosystem and overall AI information credibility Traditional media may need to adjust revenue and news distribution strategies AI companies need to develop fact-checking systems and clear source attribution Consumers must learn information literacy and truth verification skills in the AI era Source: https://the-decoder.com/more-people-get-news-from-ai-chatbots-but-trust-remains-low/