The afternoon sun had barely begun its slow descent over the rolling green hills of Oxford, Ohio, when the familiar, reassuring rhythm of a campus day was abruptly interrupted. Students wandering between classes, chatting on benches, and studying in quiet corners suddenly felt their phones vibrate with the unmistakable, urgent chime of a Miami University emergency alert. It was just past two o’clock, and the message was stark: reports of possible gunfire near McGuffey Hall, a building at the heart of campus. Immediately, the ordinary transformed into the tense. Doors were locked, blinds were drawn, and once animated walkways emptied…

Think of election misinformation like a fast-moving wildfire. It spreads quickly, burns through facts, and leaves confusion in its wake. For years, the best tools to fight it have been slow and careful—fact-checkers and debunkers working hours or days after a false claim takes root. But by then, the damage is often done. With the rise of generative artificial intelligence, the problem has become even more urgent. AI can produce convincing false content in seconds, making it easier than ever for rumors to evolve faster than humans can respond. So a team of researchers at Washington University in St. Louis…