Generative Adversarial Folklore is a scholarly construct in algorithmic folklore that models the propagation and transformation of cultural narratives through adversarial generative frameworks, distinguishing itself by simulating the coevolution of storytelling traditions and their counter-narratives within synthetic cultural ecosystems.