A study of 10 chatbots, including Perplexity and ChatGPT, shows they often repeat Russian disinformation and cite fugitive John Dougan's fake local news sites
Context & Ripple Effects
This finding extends an earlier reliability record: ChatGPT had already been reported to produce nonexistent news citations, while research also found it could generate persuasive text that repeated conspiracy theories and misleading narratives.
The issue is not only generic hallucination but the path by which coordinated false material can acquire credibility through chatbot answers. A later audit of leading chatbots found similar exposure to a pro-Kremlin network, suggesting the weakness persisted across products.
First-order effects
- Perplexity and ChatGPT face fresh scrutiny over whether their answers and citations elevate content from John Dougan's fake local-news sites into apparently credible information.
- Users relying on these chatbots for news or fact-finding have a clearer reason to verify both claims and the provenance of cited sources.
Second-order effects
- Chatbot providers are pressured to strengthen source-quality controls and disclosures, rather than treating a citation as sufficient evidence of reliability.
- Publishers and verification services gain leverage as AI answer products need more dependable ways to distinguish established reporting from deceptive sites.
Third-order effects
- If recurring audits continue to find coordinated disinformation in AI answers, trust in conversational search will depend increasingly on provenance controls, source transparency, and independent evaluation.
- This is a case of the persuasive-text problem becoming an information-distribution problem: fluent systems can scale the reach of low-quality sources unless product safeguards improve.
The trend: Generative AI is shifting from a hallucination concern to a provenance and information-integrity challenge as chatbots become interfaces for news and search.