Let’s be honest about something: AI can now generate a photo of a classroom that doesn’t exist, even a voice saying whatever you want it to say. So the fair question is if anyone can fake evidence that convincingly, what stops someone from faking a report on GLOW?
Short answer: nothing stops it completely. Nothing ever does, on any platform, anywhere. But here’s what makes it hard, layer by layer.
Layer 1: Your report is tied to a real location, automatically. When you submit a report, GLOW records your device’s GPS location at that exact moment, not something you type in, something your phone reports directly. If the project has known coordinates and your location is many kilometers away, that report gets flagged for a closer look before it ever goes public.
Layer 2: Photos carry an invisible fingerprint. Every genuine photo taken on a phone camera carries hidden data; a timestamp, camera details, baked in by the camera itself. Screenshots, images forwarded through WhatsApp a dozen times, and most AI-generated images don’t carry this the same way. GLOW checks for it automatically on every photo submitted.
Layer 3: The camera opens directly, not your gallery. When you tap to add a photo on GLOW’s report form, it opens your phone’s camera directly on most devices, rather than letting you casually pick any old file sitting on your phone. Small thing, but it nudges every report toward “captured right now” rather than “found somewhere.”
Layer 4 — the one that actually matters most: a real person still looks at it. None of the checks above are proof of anything by themselves. A missing fingerprint might just mean the photo passed through WhatsApp. A GPS flag might mean someone forgot to allow location access on an older report. That’s exactly why every single report — flagged or not — is reviewed by a moderator before it ever counts toward a governor or legislator’s public score. The technology’s job isn’t to judge; it’s to point a very busy human toward the handful of reports that actually deserve a closer look, out of every report submitted.
So if you’re an honest citizen reporting what you genuinely saw: none of this should ever get in your way. Take your photo naturally, from where you’re standing, and submit it. The system is built to catch the rare bad-faith report — not to make life harder for the thousands of good-faith ones.
Next up: The Ethics of Tracking — the human side of this same coin: what responsible, fair citizen reporting looks like in practice.