My research examines how users interpret politically constrained AI responses and how these interpretations shape their understanding of state authority and national identity. I focus on the intersection of AI-mediated communication, digital censorship, and political identity in contexts where generative AI systems make political boundaries perceptible through real-time interaction.
Drawing on training in anthropology, media studies, and digital culture, I study how people navigate politically sensitive information in AI systems and how they attribute constraints to the state, the platform, or the model itself. My work centers on interpretive processes: the moment-to-moment ways users make sense of censorship as it becomes encounterable in AI interactions.
How people make sense of constrained AI responses and attribute them to different sources of authority.
When censorship becomes perceptible in real-time AI encounters, shifting from background filter to triggerable event.
How AI-mediated censorship shapes users’ understandings of state power and national identity.
How cross-border mobility shapes interpretive frameworks when encountering political constraints in AI.