‘News’ Site Keeps Hallucinating EFF Staffers

2026-06-11 · Source: Deeplinks · Field: Media & Entertainment — Publishing & Journalism, AI-generated Content & Misinformation · Depth: Fundamental Awareness, quick

Summary

News-USA Today, a site claiming "independent news publisher focused on clear, accurate, and useful journalism," has repeatedly fabricated quotes and non-existent staff members of the Electronic Frontier Foundation (EFF) in the past two months. Fake experts like Sarah Chen, Javier Morales, Caitlin Chin, Emma Rodriguez, Mikko Kopponen, and even a non-existent Executive Director Jared Cohen, have been quoted. This site's actions are part of a broader trend where media companies use AI to generate content, often at the expense of accuracy and reputation. While EFF's original material is freely distributable under the Creative Commons Attribution 4.0 International License (CC-BY), it strongly condemns the creation of false identities and misstated positions, which damage public trust. The article highlights the significant volume of these fabrications from News-USA Today.

Key takeaway

For journalists and content strategists evaluating AI tools for news generation, you must prioritize accuracy and source verification over cost savings. Relying on AI to fabricate sources or quotes, as seen with News-USA Today, severely damages your outlet's credibility and public trust. Implement robust editorial checks to prevent the spread of misinformation, even if your content is freely licensed. Your reputation depends on ensuring all quoted individuals and statements are genuinely verifiable.

Key insights

AI-generated "news" sites are fabricating sources and quotes, damaging trust and spreading misinformation.

Principles

• Fabricated content erodes public trust.
• AI-driven content generation risks reputation.
• Verifiable sources are crucial for journalism.

In practice

• Verify quoted experts' existence.
• Cross-reference claims with known sources.
• Consult fact-checking guides (e.g., ProPublica).

Topics

• AI-generated content
• News fabrication
• Misinformation
• Media credibility
• Fact-checking
• Electronic Frontier Foundation

Best for: CTO, VP of Engineering/Data, Director of AI/ML, Tech Journalist, General Interest

Related on AIssential

• Three ways to avoid being fooled by AI slop — AI-generated visual content demands a multi-faceted verification approach beyond surface-level observation.
• How The San Francisco Standard is Reinventing the News App: In Conversation with Kevin Delaney & Jim Friedlich — AI can transform news consumption by personalizing content and synthesizing atomic reporting units into dynamic user experiences.
• We Asked the ‘Future of Truth’ Author to Explain How He Used AI. It Didn’t Go Well — The irony of a book on AI and truth containing AI-generated falsehoods highlights critical authorial responsibility.
• Be wary, be skeptical — Online content, particularly on platforms like LinkedIn, demands critical evaluation due to the prevalence of AI-generated posts and spam.
• Meta Pressured to Increase Oversight of AI-Generated Videos — Meta's current AI content moderation is insufficient against rapidly spreading synthetic media, especially during conflicts.
• Scientists invented a fake disease. AI told people it was real — AI models can propagate misinformation, even when explicitly labeled as fake, highlighting data validation challenges.

Open in AIssential →

Editorial summary, takeaway, and curation by AIssential. Original article published by Deeplinks.