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Responses to real search queries are examined at three levels: source diversity, linguistic characterization of the generated summary, and source-summary fidelity, to find that generative search systems exhibit significant source-selection biases in their citations.
Findings show that financial-advice evaluations are shaped jointly by displayed attribution and message-level communication cues, which position disclosure not as a neutral transparency mechanism, but as an interpretive frame whose accuracy and interaction with message cues can shape trust and reliance.
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