We study the design of a decentralized two-sided matching market in which agents’ search is guided by the platform. There are finitely many agent types, each with (potentially random) preferences drawn from known type-specific distributions. Equipped with knowledge of these distributions, the...

On online platforms, consumers face an abundance of options that are displayed in the form of a position ranking. Only products placed in the first few positions are readily accessible to the consumer, and she needs to exert effort to access more options. For such platforms, we develop a...

In this paper we study a model of information consumption where consumers sequentially interact with a platform that offers a menu of signals (posts) about an underlying state of the world (fact). At each time, incapable of consuming all posts, consumers screen the posts and only select (and...

Two-sided platforms rely on their recommendation algorithms to help visitors successfully find a match. However, on platforms such as VolunteerMatch - which has facilitated millions of connections between volunteers and nonprofits - a sizable fraction of website traffic arrives directly to a...

Volunteer crowdsourcing platforms match volunteers with tasks which are often recurring. To ensure completion of such tasks, platforms frequently use a lever known as ``adoption,'' which amounts to a commitment by the volunteer to repeatedly perform the task. Despite reducing match uncertainty,...

Individuals increasingly rely on social networking platforms to find information and form opinions. However, there are concerns on whether or how these platforms lead to extremism and polarization, especially since they typically aim to maximize engagement which may not align with other social...