Recommender systems often struggle to strike a balance between matching users' tastes
and providing unexpected recommendations. When recommendations are too narrow and …

Bulk email is often used in organizations to communicate" important-to-organization''
messages such as policy changes, organizational plans, and administrative updates …

We study the impact of consumer heterogeneity on online ratings. Consumers differ in their
experience, which can affect both their choices and ratings. Thus, biases in average ratings …

We present a methodology for analyzing the impact of algorithmic recommendations on
product market competition, addressing concerns that have been raised in both academic …

A single digital newsletter usually contains many messages (regions). Users' reading time
spent on, and read level (skip/skim/read-in-detail) of each message is important for platforms …

As AI systems enter into a growing number of societal domains, these systems increasingly
shape and are shaped by user preferences, opinions, and behaviors. However, the design …

We review the burgeoning literature on the economics of social media, which has become
ubiquitous in the modern economy and fundamentally changed how people interact. We first …

An increasingly important aspect of designing recommender systems involves considering
how recommendations will influence consumer choices. This paper addresses this issue by …

Digital platforms increasingly curate their content through personalized algorithmic rankings.
Given the limited attention of their users and reliance on advertising, platforms have an …

E-mail``Messages From the President''to university students, staff, and faculty have long
been used to keep campus communities aware of the latest policies, events, and news. But …