Imagine scrolling through your social media feed and seeing a short, dramatic clip. The camera swoops through a parking lot, chasing two women who are running between cars. There’s music, maybe a caption in bold letters, and the implication is clear: this is police surveillance, a drone operated by law enforcement, hunting down suspected shoplifters. The video feels real, looks urgent, and gets shared thousands of times. But what if it isn’t what it seems? What if the drone was a private citizen’s toy, or the video was edited and reposted with a false narrative? This exact scenario unfolded recently with a viral clip from Concord, California. The original footage didn’t identify the drone as police-owned, but social media versions added captions suggesting it was part of a law enforcement operation targeting retail theft. The problem is that once a video takes off online, the truth often gets left behind. We are entering an era where authentic police footage, private drone videos, security camera captures, and even AI-generated content can be stripped of context and mixed together until nobody can tell the difference. For public information officers, this is a new and dangerous reality. It’s no longer enough to simply say “that’s not us.” The public needs clear, honest, and proactive communication to understand what is real, what is fake, and how to verify official information before jumping to conclusions.
At the same time, the irony is that police departments really are using drones more than ever. Programs called Drone as First Responder, or DFR, are becoming increasingly common across the country. These programs allow law enforcement to launch a drone to a call before an officer even arrives on scene, giving them a bird’s-eye view of a situation and helping them track suspects, locate missing people, or assess dangerous incidents. In Redmond, Washington, police used a drone to follow a shoplifting suspect across multiple parking lots, ultimately helping officers make an arrest. In Brookhaven, Georgia, a drone tracked a fleeing theft suspect and guided ground units to the right location. These are real examples of how this technology can be a powerful tool for public safety. But when a viral video shows a drone following someone, the public cannot assume it’s from one of these programs. The technology exists, the programs are growing, and the footage can look remarkably similar to what a department might release. That is exactly why misattribution is so dangerous. A viewer sees a drone chasing someone in a parking lot, and because they know police use drones, they assume the video must be from the police. It becomes a story that fits a preexisting belief, whether that belief is about surveillance, over-policing, or the effectiveness of new technology. And once that story takes hold, correcting it becomes an uphill battle.
The burden of fixing this misunderstanding often falls on the public information officer, the person responsible for communicating on behalf of a law enforcement agency. The challenge is not just proving whether a specific drone belongs to the department, but doing so in a way that doesn’t accidentally reinforce false claims. There is a natural temptation to respond quickly and defensively, saying something like, “This is not our drone footage of shoplifters.” But a PIO has to be careful with words. That statement inadvertently accepts the premise that the people in the video are shoplifters, and that the drone was involved in a theft response. It may be true that the drone isn’t ours, but the rest of the narrative might be completely fabricated. A better response would be something like: “We are aware of a video circulating online that appears to show a drone following individuals in a parking lot. The drone shown in that video was not operated by our department, and the video was not produced or released by our agency.” That kind of statement corrects the attribution without validating the underlying claim. It doesn’t call the people in the video suspects. It doesn’t confirm a crime occurred. It simply states the facts about what the agency did and did not do. This is a crucial distinction, because the public is not just learning about one video. They are forming opinions about police transparency, surveillance practices, and trustworthiness. A careless response can damage that trust even further.
Beyond correcting a specific video, agencies need to make it easy for the public to identify authentic content in the first place. That means being transparent about where official drone footage will appear. Will it be on the agency’s website? On verified social media accounts? Through official news releases? The public should never have to guess whether a video they saw on a random page actually came from the police. If an agency releases drone footage, it should consider using a watermark or a standardized graphic package that makes it instantly recognizable. This isn’t about branding for the sake of branding; it’s about giving the community a way to answer the question, “How do I know this really came from you?” Without that, people are left to rely on visual cues, and visual cues are no longer reliable. A private drone operator can edit footage to look like a police video. A social media user can add a badge or a logo. AI can generate convincing footage that never happened. Appearance alone cannot establish authenticity. The public needs a source they can trust, and the agency needs to consistently point to that source. This becomes even more important when an agency has a real drone program. If the public doesn’t already understand what the program does, when it’s used, who operates the drones, and what happens to the recordings, then a fake video will become the default explanation. The PIO should not wait for misinformation to strike before explaining the program. They should have public-facing information ready, written in plain language, that describes the purpose and limitations of drone use. That way, when a misleading video appears, the agency can say, “Here is what our program actually looks like,” rather than trying to explain it for the first time in the middle of a controversy.
At the same time, a PIO cannot respond to every piece of misinformation online. That would be a full-time job with no end. Instead, agencies need a threshold for what counts as consequential. A random post with a few hundred views and no traction is probably not worth the time and attention. But a viral video that generates media calls, sparks community concern, or raises questions about surveillance is a different matter. That is when misinformation stops being internet noise and starts being an agency reputation issue. The response should be timely, clear, and focused on the facts. But there is also an opportunity to turn a correction into a teaching moment. Instead of simply denying the video, an agency could publish an educational post that shows what authentic drone footage looks like, how to identify it, where it is released, and how residents can verify questionable videos. This approach shifts the conversation from a single piece of content to a broader conversation about media literacy. It empowers the public to be more skeptical and more informed. It also demonstrates that the agency is willing to be transparent, not just when it’s in trouble, but as a matter of practice. That kind of proactive communication builds trust in a way that reactive denial never can.
There is one more wrinkle that makes this even more complicated: police departments themselves sometimes edit drone footage for social media. The San Francisco Police Department, for example, previously released a drone video of a vehicle break-in that included sound effects and a dramatic soundtrack. That means a PIO cannot simply tell the public, “If it has music or dramatic editing, it isn’t police footage.” That would be false, and the public would eventually catch on. The reality is that editing style is not evidence of source. In an era when anyone with a drone and editing software can create something that looks like professional law enforcement surveillance, appearances mean very little. The only reliable way to verify a video is to trace it back to the source. This is why source verification is so much more important than visual appearance. Law enforcement agencies need to help the public understand this. They can explain that official footage will always be released through official channels, and they can encourage people to check those channels before believing or sharing something they saw elsewhere. They can also work with social media platforms to flag misattributed content, though that is a slow and imperfect process. The broader goal is to create a culture where people pause before sharing a viral video and ask themselves: Who actually made this? What is the original context? Is this from a trusted source? That kind of questioning is essential in a world where a drone can be used by anyone, where video can be edited in seconds, and where a false caption can reach millions of people before the truth has a chance to catch up. For public information officers, the task is not just to correct the record, but to equip the public with the tools to find the record themselves. That is what honest, human communication looks like in the age of viral misinformation. It acknowledges the fear and confusion, offers clear answers, and builds a foundation of trust that can withstand the next false video, because there will always be a next one. The question is whether the public will know where to look for the truth.