Whenever a political party is about to hold a big gathering, the first battle is no longer on the ground; it is on the phone screen. In the days before the INDIA bloc’s “Chalo Dilli” rally at Delhi’s Ramlila Maidan on November 1, that digital battlefield was especially intense. The opposition alliance had called supporters from across the country to the capital, and the expectation was huge—organizers said they were aiming for nearly a million people. At the same time, the Delhi Police had announced plans to manage the event with a capacity of only about 50,000 inside the Maidan, and any overflow would be held back on the surrounding roads. That gap between aspiration and official planning created the perfect climate for misinformation. In just a few days, four distinct types of questionable content started doing the rounds. One was a fake front page of The Indian Express, engineered to suggest that Indian Railways had seen a massive passenger surge because of the rally. Another was an old video from an earlier Congress protest, passed off as live footage from the rally morning. A third was an AI-generated photograph of a vast crowd, presented as a real shot of the venue. The fourth was a fabricated Instagram post from Bollywood star Kareena Kapoor Khan, using her fame to convince people to join the march. Each one was designed to be believable enough for a quick scroll and a share, and each one fell apart as soon as someone looked closely.
The first and most obviously “official-looking” piece was an image that claimed to show the October 27 New Delhi edition of The Indian Express. The front page had a dramatic headline: “INDIAN RAILWAYS SEES MASSIVE SURGE IN PASSENGERS AHEAD OF CHALO DELHI RALLY.” At first blush, it looked like a real newspaper page with all the usual elements—a nameplate, a tagline, articles, and a big breaking story. But the counterfeit was exposed by several small but important details. The fake page said October 27 was a Monday, yet October 27 was actually a Tuesday. That is the kind of basic calendar error a real newspaper would never make. The tagline “Journalism of Courage,” which The Indian Express prints in red on its original front pages, appeared in black on the fake image. Even more telling, the faces in the image were slightly distorted, a common flaw in AI-generated images. When fact-checkers ran the image through OpenAI’s detection tool, the conclusion was clear: the picture had been generated using AI. To confirm beyond any doubt, they checked the actual e-paper of The Indian Express for that date. There was no such headline anywhere. The newspaper’s website also had no story about a surge in railway passengers specifically linked to the Chalo Dilli rally. So the entire front page was a fabrication, carefully built to make the rally look bigger and more significant than it was. It was not an honest mistake or a leaked edition; it was digital propaganda designed to exploit the trust people place in established media. The real news around the rally was more practical: The Times of India reported that Delhi Traffic Police had imposed restrictions and diversions across central Delhi from 10 am to 5 pm, and were advising commuters to plan alternate routes, especially those heading to New Delhi Railway Station. That is normal management for any large event. But the fake newspaper tried to turn it into proof that the entire country was rushing to join the rally.
The second piece of misleading content was a video of a massive crowd gathered in an open ground. It was shared widely with the claim that this was Ramlila Maidan on the morning of November 1, just before the rally began. Videos like that are powerful because they feel raw and immediate; there is no fancy editing, no polish, just a sea of people. But this particular video was not new at all. By reversing the video’s frames and searching for the key moments, fact-checkers discovered that the same clip had already been posted on Instagram by Congress leaders Harish Rawat and Deepender Singh Hooda. They had shared the footage on December 14, describing it as scenes from the party’s rally against “vote theft,” organized under the slogan “Vote Chor Gaddi Chhod.” That event was an earlier Congress-led protest at the same venue, and the video had no connection to the Chalo Dilli rally. It was old footage recycled for a new political moment. This is one of the most common tricks in political misinformation: take a genuine piece of video, strip away its original date and context, and reintroduce it during a different event. The footage itself may be real, but the story attached to it is false. Many viewers did not recognize the clip because they could not recall every rally that had happened before. So the old video did its job—it convinced people that the current event had already drawn an enormous crowd. In reality, large rallies at the same venue often look similar: flags wave, people squeeze together, speakers gesture from the stage. The only way to know the truth is to trace the clip back to its source. A simple reverse image search, or even a little awareness that leaders had posted this footage earlier, would have exposed the lie. The video’s power came not from being edited, but from being repackaged and given a false date.
The third piece of content was an AI-generated image of a huge gathering, passed off as a real photograph of Ramlila Maidan on November 1. The picture showed an enormous crowd filling an open ground, with posters and banners visible in the distance. It looked like a powerful piece of visual evidence. But when you looked closely, the telltale signs of synthesis were there. The faces of Rahul Gandhi and Sonia Gandhi on the posters in the image were distorted in places, with the kind of unnatural curves that AI models often produce. When the image was checked with OpenAI’s detection tools, the result matched those visual clues: it had been generated using AI. This was not a photograph. It was a digital construction designed to look like one. The image was dangerous because it played on the emotional power of scale. In politics, crowd size is often treated as a symbol of legitimacy, and a photo of a vast sea of humanity can make a movement seem unstoppable. The gap between the organizers’ claim of nearly a million people and the police’s planned capacity of around 50,000 made the AI image especially appealing to those who wanted to show that the rally had exceeded every expectation. But the picture was a lie, created by software, not by cameras. It was a reminder that artificial intelligence has made it possible to manufacture photographic proof of events that never happened. The human eye can still catch some of the mistakes, especially around faces and text, but not always. That is why verification tools and a skeptical mindset matter so much. An image may look real, but appearance alone is no longer proof. The AI-generated crowd scene was not a record of reality; it was a fantasy made to be shared.
The fourth piece of viral misinformation was a screenshot of an Instagram post supposedly made by Bollywood actress Kareena Kapoor Khan. In the fake post, she appeared to be asking people to join the Opposition rally at Ramlila Maidan. The screenshot included her name and profile picture, and the message was written in a warm, natural tone, as if she were speaking directly to her fans. It ended with a call to attend the rally “tomorrow,” which meant the post would have had to be made on October 31. But no such post ever appeared on Kareena Kapoor Khan’s verified Instagram account. A check of her official social media pages showed nothing of the sort. If a celebrity of her fame had posted something like that, it would have been covered by entertainment and political media within minutes, but there were no credible reports anywhere. When the image was run through OpenAI’s detection tool, the conclusion was the same as with the other items: it was generated using AI. This was not a cropped or edited version of a real post; it was a synthetic screenshot designed to look like the real thing. This kind of fake is particularly sneaky because it uses a familiar face to create trust. People are more likely to share something if they believe a beloved actor is endorsing it. But Kareena Kapoor Khan never asked anyone to attend the rally. She was turned into an unwilling spokesperson for a political message she had no part in. The fake post was a small, clever piece of manipulation that could influence public perception simply by borrowing the credibility of a famous name.
Taken together, these four examples reveal the shape of modern political disinformation. A fake front page uses the authority of a newspaper to create a headline. An old video supplies grainy, “authentic-looking” footage. An AI-generated photograph provides scale. And a fake celebrity post adds warmth, glamour, and personal appeal. Each one attacks a different part of how people decide what to believe, and together they fill the gaps left by official information. The result is a version of events that feels more complete, more exciting, and more shareable than the truth. That is why verification has to become a daily habit. First, always check the source directly: if it looks like a newspaper front page, go to the e-paper or official website. Second, look at the small details: dates, days, colors, logos, and faces. Distorted hands, ears, or text are often warning signs. Third, use reverse image search for photos and videos to see where they have appeared before. Fourth, for celebrity endorsements, check the celebrity’s own verified account rather than trusting a screenshot. Fifth, be especially careful with content that makes you feel anger, pride, or excitement; those emotions are exactly what makes people share without thinking. Finally, remember that AI tools are cheap, accessible, and getting better every day. They can fabricate a newspaper page, a crowd scene, or an Instagram post in minutes. None of this means we should become paranoid, but it does mean we need to be attentive. The “Chalo Dilli” rally, like every large political event, deserved to be judged on real, verified facts. Instead, it was surrounded by manufactured displays, from railway headlines to celebrity voices. The good news is that these fakes were caught. The better news is that anyone can learn to catch them too. In an age of deepfakes and synthetic images, the most valuable skill is not knowing what to believe, but knowing how to check before you believe. Every share is a small decision: whether to pass along truth or to amplify a lie. By choosing curiosity over convenience, and evidence over emotion, we can keep the public conversation honest—one post, one image, and one headline at a time.