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...

Regulators are responding to growing platform power with curbs on platforms' potentially biased exercise of power, creating urgent needs for both a workable definition of platform bias and ways to detect and measure it. We develop a simple equilibrium framework in which consumers choose among...

This paper develops and implements a series of tests of costly attention models, in the context of consumer misreaction to opaque prices. We derive a series of predictions about how the sign and magnitude of misreaction varies with stakes. We then test and confirm these predictions in an...

We use U.S. eBay data to investigate how trade is influenced by differences in socioeconomic characteristics, tastes, and trust. States' similarity in cultural characteristics (ethnicity, religious affiliations, and political behavior) is predictive of online trade; cultural similarity similarly...

We examine the effect of consumer reviews on relative sales of books on Amazon.com and BarnesandNoble.com. We find that 1) reviews are overwhelmingly positive at both sites, but there are more reviews and longer reviews at Amazon.com, 2) an improvement in a book's reviews leads to an increase in...

The internet has dramatically reduced the cost of varying prices, displays and information provided to consumers, facilitating both active and passive experimentation. We document the prevalence of targeted pricing and auction design variation on eBay, and identify hundreds of thousands of...

A central issue in privacy governance is understanding how users balance their privacy preferences and data sharing to satisfy service demands. We combine survey and behavioral data of a sample of Alipay users to examine how data privacy preferences affect their data sharing with third-party...

This study provides a structural analysis of detailed, alternating-offer bargaining data from eBay, deriving bounds on buyers and sellers private value distributions using a range of assumptions on behavior. These assumptions range from very weak (assuming only that acceptance and rejection...

We argue that reputation mechanisms used by platform markets suffer from two problems. First, buyers may draw conclusions about the quality of the platform from single transactions, causing a reputational externality across sellers. Second, for a variety of reasons we discuss, reputations will...

Increased competition from the internet has raised concerns about the quality of prescription drugs sold online. Given the pressure from the Department of Justice, Google agreed to ban pharmacies not certified by the National Association of Boards of Pharmacy (NABP) from sponsored search...