When Big Data Enables Behavioral Manipulation

Daron Acemoglu, Ali Makhdoumi, Azarakhsh Malekian and Asuman Ozdaglar

American Economic Review: Insights, 2025, vol. 7, issue 1, 19-38

Abstract: We build a model of online behavioral manipulation driven by AI advances. A platform dynamically offers one of n products to a user who slowly learns product quality. User learning depends on a product's "glossiness," which captures attributes that make products appear more attractive than they are. AI tools enable platforms to learn glossiness and engage in behavioral manipulation. We establish that AI benefits consumers when glossiness is short-lived. In contrast, when glossiness is long-lived, behavioral manipulation reduces user welfare. Finally, as the number of products increases, the platform can intensify behavioral manipulation by presenting more low-quality, glossy products.

JEL-codes: C55 D83 D91 L86 (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1257/aeri.20230589

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