Each month, Cyabra’s experts share the articles, reports, and investigations shaping the conversation around misinformation, narrative intelligence and deepfakes. This September, from AI chatbots buckling under sustained misinformation pressure to the growing legal fight against deepfake harm, one thing is clear: as generative AI reshapes how false narratives are created and corrected, distinguishing reliable information from AI-amplified falsehoods is more critical than ever.
AI is making disinformation harder to spot – but we’ve found a new way to catch it
The Conversation
“Trying to detect AI purely from the words people use is becoming a losing battle. We believe the better approach is to look at what a message is trying to achieve. […] As AI-generated content becomes increasingly difficult to distinguish from human writing, detecting disinformation requires more than simply searching for telltale words.”
Generative AI succumbs to conversational misinformed pressure and argument
The University of Arizona
“When generative AI came out in November 2022, there was a lot of regulation potential, but that has since fell by the wayside. People are recognizing the onus is now left to the users. […] If one were relying on the model for critical decision-making, one might – depending upon the phase of the oscillation – ‘fire the missile’ or ‘cut off the leg,’ or not, based simply on chance,” Slepian said.”
Fighting misinformation with truth: Why mainstream news matters on social media
CEPR – VoxEU
“In an information environment increasingly shaped by algorithms and AI-generated content, preserving the visibility of credible news sources may be as important as correcting false information itself.”
USC Researchers Discover Fake News Spreaders Have Less Followers Than Users Pushing Back
University of Southern California – Information Systems Institute
“The results also showed that counter-misinformation posts were often “angrier” and expressed stronger negative emotions than posts spreading misinformation–challenging the common assumption that misinformation itself is the more emotionally charged content.”
Deepfakes raise concern as UH researchers study risks, state strengthens AI protections
University of Hawaii
“Deepfake technology has enormous potential, but our research shows that people are deeply concerned about what happens when it is used to deceive or harm others. […] Clear legal safeguards and meaningful consequences for malicious misuse are essential if we want the public to trust this technology while still allowing its responsible and beneficial uses.“
