JudgeGPT Human Perception Data: Dual-Axis Judgments of AI-Generated Disinformation

Large-scale human perception data on AI-generated vs. human-written text, collected through the JudgeGPT socio-technical evaluation platform. 504 participants assessed 2,438 text fragments on two continuous axes — origin (human vs. machine) and veracity (legitimate vs. fake) — while demographic, behavioral, and temporal data were recorded. Includes the RogueGPT stimulus corpus (2,308 multilingual fragments from 7 LLMs) and a Python validation script that reproduces all statistics from the associated dissertation. Created as part of a doctoral dissertation on the AI-driven disinformation ecosystem at Frankfurt University of Applied Sciences.