MottG"Answer Bubbles: Information Exposure in AI-Mediated Search"
This paper analyzes 11,000 real queries across GPT-style and traditional search systems and finds systematic differences in citation choices, hedging language, and source-summary fidelity that can create distinct “information realities.” It gives a concrete empirical basis for the idea that generative search may shape what users believe.
