Coverage by McKenzie Sadeghi, Dimitris Dimitriadis, Virginia Padovese, Giulia Pozzi, Sara Badilini, Chiara Vercellone, Natalie Huet, Zack Fishman, Leonie Pfaller, and Natalie Adams | Last Updated June 23, 2026
Google research shows the fast rise of AI-generated misinformation | CBC News
From fake images of war to celebrity hoaxes, AI technology has spawned new forms of reality-warping misinformation online. New analysis co-authored by Google researchers shows just how quickly the problem has grown.
May 2025 — AI Misinformation Monitor of Leading AI Chatbots
Every month, NewsGuard’s team of expert analysts audit the top AI models to see how well they respond to prompts in the news. On average, this month they failed to counter disinformation from Russia’s Pravda Network 24 percent of the time, either spreading false claims or failing to respond. The Pravda network was designed to infect the AI models.
AI is eating website traffic, websites are blocking AI – and reliable information is getting harder to find
AI has broken the economic bargain behind the web, and everybody is losing.
The Impact of AI-Generated Text on the Internet
By mid-2025, roughly 35% of newly published websites were classified as AI-generated or AI-assisted.
Google Researchers Say AI Now Leading Disinformation Vector (and Are Severely Undercounting the Problem)
It’s much easier to produce AI-generated disinformation than it is to fact check it.
An AI-Generated Content Empire Is Spreading Fake Celebrity Images on Google
A ring of websites using AI and run by an aspiring movie star are behind fake celebrity images featured in Google results, Motherboard found.
AI is now unpopular. That may not make a difference.
An AI Upheaval Is Coming for Media. This Journalist Is Already All In.
AI-assisted stories accounted for nearly 20% of Fortune’s web traffic in the second half of 2025. Most are written by Nick Lichtenberg.
The AI Trust Gap: 82% Are Skeptical, Yet Only 8% Always Check Sources
Original Exploding Topics survey data explores public sentiment on AI Overviews and AI-generated content, highlighting trust, skepticism, and shifting content consumption habits.
"AI" is Automated Inequality
Tech bros still dominate the discussions about so-called "AI" with false claims. Even most "AI"-critical researchers spend much of their time meticulously debunking (always only a subset of) claims, leaving vast areas of the economic consequences of "AI" unexplored. (Even the "AI"-evangelist Economi
Companies That Replaced Humans With AI Are Realizing Their Mistake
As AI agents have yet to pay for themselves, more and more executives are waking up to the sloppy reality of AI hype.
AI use in American newspapers is widespread, uneven, and rarely disclosed
AI is rapidly transforming journalism, but the extent of its use in published newspaper articles remains unclear. We address this gap by auditing a large-scale dataset of 186K articles from online editions of 1.5K American newspapers published in the summer of 2025. Using Pangram, a state-of-the-art AI detector, we discover that approximately 9% of newly-published articles are either partially or fully AI-generated. This AI use is unevenly distributed, appearing more frequently in smaller, local outlets, in specific topics such as weather and technology, and within certain ownership groups. We also analyze 45K opinion pieces from Washington Post, New York Times, and Wall Street Journal, finding that they are 6.4 times more likely to contain AI-generated content than news articles from the same publications, with many AI-flagged op-eds authored by prominent public figures. Despite this prevalence, we find that AI use is rarely disclosed: a manual audit of 100 AI-flagged articles found only five disclosures of AI use. Overall, our audit highlights the immediate need for greater transparency and updated editorial standards regarding the use of AI in journalism to maintain public trust.
AI use in American newspapers is widespread, uneven, and rarely disclosed
AI is rapidly transforming journalism, but the extent of its use in published newspaper articles remains unclear. We address this gap by auditing a large-scale dataset of 186K articles from online editions of 1.5K American newspapers published in the summer of 2025. Using Pangram, a state-of-the-art AI detector, we discover that approximately 9% of newly-published articles are either partially or fully AI-generated. This AI use is unevenly distributed, appearing more frequently in smaller, local outlets, in specific topics such as weather and technology, and within certain ownership groups. We also analyze 45K opinion pieces from Washington Post, New York Times, and Wall Street Journal, finding that they are 6.4 times more likely to contain AI-generated content than news articles from the same publications, with many AI-flagged op-eds authored by prominent public figures. Despite this prevalence, we find that AI use is rarely disclosed: a manual audit of 100 AI-flagged articles found only five disclosures of AI use. Overall, our audit highlights the immediate need for greater transparency and updated editorial standards regarding the use of AI in journalism to maintain public trust.
Top AI Security Incidents of 2025 Revealed | Adversa AI
Discover how AI systems are being hacked in the wild — from prompt injection to agent abuse — with real breaches, lessons, and defenses in Adversa AI’s 2025 report.
What Americans See About AI Online
One month of web browsing data shows most respondents visited a search page with an AI-generated summary, but visits to in-depth content about AI were much rarer.
