In an age when social media feeds blur the line between reality and illusion, a Facebook page called “Aussie News Today” has been quietly masquerading as a trusted Australian news outlet while feeding its followers a steady diet of AI-generated images. The page describes itself as “your go-to source for breaking news, politics, sports, and weather across Australia,” and it posts multiple times a day about the kind of high-profile events that dominate headlines and conversations across the country. But behind this polished, newsy facade lies something far less genuine. An investigation by AAP FactCheck has revealed that the page is operated by a user in Sri Lanka, thousands of kilometres away from the Australian stories it claims to cover, and that many of its most dramatic “photographs” are not photographs at all. They are computer-generated images, crafted with artificial intelligence tools to look like real scenes from real breaking news events. The page attaches these fabricated visuals to true stories, creating a dangerous hybrid: the facts are real, but the images are fake. That makes the deception especially tricky, because the events described actually happened. The page’s operators have used AI to create images of emergency responders, crash scenes, victims being loaded into ambulances, and burning buildings—all designed to look like frontline news photography. But the images contain telltale signs of artificial generation, including garbled text, distorted architecture, and invisible digital watermarks. This is not just a harmless internet prank. It exploits genuine tragedies and public curiosity to build engagement, spread misinformation, and blur the public’s ability to trust what it sees. It is also a stark reminder that in the modern information ecosystem, seeing is no longer believing.
Take, for example, a post published on October 3 that purported to show the aftermath of a car crashing into a crowd gathered for the Newcastle Knights rugby league grand final procession. The post screamed “BREAKING: Car Crashes Into Newcastle Knights Fans in Newcastle — 9 Injured,” and described how a car had ploughed into a group of supporters in New South Wales ahead of the team’s big game. The text said the driver had been arrested and police were investigating the circumstances surrounding the crash. Here is the twist: the event itself was real. A car did crash into Newcastle Knights fans that morning, and people were injured. But the image attached to the post was completely fabricated. It bore no resemblance whatsoever to the genuine footage captured by real news outlets. ABC News, for example, published actual photos and videos from the scene on the day of the crash, and the difference was glaring. The AI-generated image looked dramatic and cinematic, but it was a manufactured illusion. A Google AI detection tool confirmed that the photo had been created or edited using Google AI, and the image also contained an invisible watermark known as SynthID—a digital fingerprint embedded in AI-generated content that can be detected by specialised software. Even without that technological confirmation, there were visible clues for the careful observer. The writing on the emergency workers’ uniforms was garbled and nonsensical, and the text on the police cordon was distorted. In a real photograph, such details would be crisp and legible. But to someone scrolling quickly through a busy news feed, the image looked just believable enough to pass as a real photo. That is precisely what makes this kind of misinformation so insidious: it does not need to survive close scrutiny. It only needs to get an emotional reaction before the viewer moves on.
A few days later, the same Facebook page published another post that followed an identical pattern. On October 5, emergency services were called to the Dendy Newton cinema in Sydney’s Newtown suburb after a 26-year-old woman allegedly stabbed a 48-year-old man in the hand, according to reports from 9News. The story was real, but the image that accompanied the Facebook post was another AI-generated fake. The post purported to show a man being loaded into an ambulance after the alleged stabbing, complete with paramedics, emergency lighting, and a tense street scene. But when the image was examined closely, it did not match reality at all. The location of the stabbing bore little resemblance to the AI image in the Facebook post. The real Dendy Newton cinema is not on a street corner, as the fake image depicted, and its signage and logo look completely different from what appeared in the fabricated visual. Google Maps shows the actual cinema tucked into a streetscape that looks nothing like the dramatic corner location in the post. The fake image, like many AI-generated pictures, seemed to combine generic elements of an emergency scene with an imagined version of the cinema, creating something that looked plausible at first glance but fell apart upon closer inspection. The SynthID detector again confirmed that the image had been generated using Google AI tools. This case is especially troubling because it takes a real act of violence—a frightening, human moment in a quiet Sydney suburb—and repackages it with an invented visual that has no connection to what actually happened. For the victim, for witnesses, and for the community, seeing a fake image of a real event can feel like a violation of the truth. It can also cause confusion, spread rumours, and make it harder for the public to understand what really occurred.
The pattern continued with an even more sombre story. On October 5, Corporal Brendan Hannam, an Australian soldier, was killed when a vehicle he was travelling in near Darwin rolled over during a military training exercise. Five other people were injured in the incident. It was a tragic, sudden death, and it would have been a major story in any Australian news cycle. On October 8, the Aussie News Today page posted an image that purported to show the aftermath of that deadly rollover. The picture featured paramedics, crash investigators, and a military helicopter, all set against what appeared to be a remote outback landscape. It looked like the kind of dramatic breaking news photograph that would be published by a major news organisation. But it was not. The image showed clear signs of AI generation, including distorted and garbled characters on the number plates of vehicles, a common flaw in AI-generated text. No credible news outlet had published the image, and it did not match any genuine footage from the scene. The use of AI here is particularly insensitive. A soldier’s death is not just a news event; it is a profound loss for a family, a unit, and a nation. Manufacturing a fake image of that tragedy cheapens the reality and risks retraumatising those who knew Corporal Hannam. It also undermines the public’s ability to mourn and process such events with accuracy and dignity. The fact that the page would attach a fabricated visual to such a solemn story shows a troubling disregard for the truth and for the people affected by the news. It is one thing to create a fake image of a celebrity or a sports event; it is quite another to fabricate the scene of a soldier’s death and present it to the world as fact.
The same Facebook page also experimented with AI-generated video, not just still images. On September 26, the page posted a report claiming to show footage from a fire at the abandoned Austral Picture Theatre in the Melbourne suburb of Collingwood. The video appeared to show the historic building engulfed in flames, with dramatic fire, smoke, and emergency vehicles surrounding it. But the footage was clearly fake. The grand building seen burning in the Facebook video bore no resemblance to the already-dilapidated former theatre visible on Google Maps before the blaze. The real building was a crumbling, ageing structure, not the impressive, intact edifice shown in the AI-generated clip. The video clip’s depiction of the Melbourne theatre fire did not match the actual event in any meaningful way. Google’s SynthID Detector confirmed that the images purporting to show the Dendy cinema, the aftermath of the Northern Territory military death, and the video of the Collingwood theatre fire were all created using Google AI tools. In other words, the same page was using the same underlying technology to produce a stream of fake visuals across multiple types of stories—crashes, stabbings, military deaths, and fires. Each fabrication was attached to a real news event, making it harder for ordinary readers to tell where the facts ended and the fiction began. Meta’s page transparency details showed that the Aussie News Today page was operated by a user in Sri Lanka, adding another layer of complexity. This is not an Australian newsroom making a careless mistake. It is an anonymous operator, based thousands of miles away, using AI to manufacture content that looks like Australian journalism. The page has no reporters, no editors, and no accountability. Yet it presents itself as a reliable source of breaking news, and it does so with a confidence that can easily fool unsuspecting readers.
What does all of this mean for the rest of us? It means that the information environment we live in is more treacherous than ever before, and that the tools for deception are no longer limited to skilled graphic designers or state-sponsored propaganda units. Ordinary people can now create hyper-realistic fake images with a few clicks, and social media platforms provide the perfect distribution network. The Aussie News Today page is not an isolated anomaly. AAP FactCheck previously debunked a similar Facebook page that published AI-generated images purporting to show photos from breaking news events in New Zealand. The pattern is likely to continue, and it may get worse as AI technology becomes even more sophisticated. The challenge for readers is to develop a kind of digital scepticism, a willingness to pause and question the images that flash across our screens. When a news post seems shocking, ask yourself: does the image look too perfect? Are the details in the background legible? Does the location match what I know about the event? Cross-check with reputable news sources before sharing. For fact-checkers and journalists, the work is becoming more difficult, but also more essential. Organisations like AAP FactCheck, which is an accredited member of the International Fact-Checking Network, are working to debunk these falsehoods and hold bad actors accountable. But they cannot do it alone. Platforms like Meta have a responsibility to detect and label AI-generated content, and to remove pages that systematically deceive users. Governments and regulators may also need to step in, because the line between genuine journalism and fabricated content is becoming dangerously blurred. At the heart of this issue is a simple but profound truth: we need to know what is real. When we cannot trust the images we see, we cannot trust the stories we tell ourselves about the world. The tragedy of a car crash, a stabbing, a soldier’s death, or a fire is real enough without being embellished by artificial images. The truth deserves better than a machine-made fake. And the public deserves better than a Facebook page that turns real tragedies into content farms for misinformation. The next time you see a dramatic breaking news photo, take a moment to look closer. Ask where it came from. Check the source. And remember that not everything that looks like a photograph is a photograph. In this strange new world, the most important skill may simply be the ability to pause, question, and demand the truth before clicking share.