6 citations · 35 across the 26 of their papers we have counts for
8 papers · 1 filter
Flattening Supply Chains: When do Technology Improvements lead to Disintermediation?
S. Nageeb Ali, Nicole Immorlica, Meena Jagadeesan +1
In the digital economy, technological innovations make it cheaper to produce high-quality content. For example, generative AI tools reduce costs for creators who develop content to…
Clickbait vs. Quality: How Engagement-Based Optimization Shapes the Content Landscape in Online Platforms
Nicole Immorlica, Meena Jagadeesan, Brendan Lucier
Online content platforms commonly use engagement-based optimization when making recommendations. This encourages content creators to invest in quality, but also rewards gaming tric…
Improved Bayes Risk Can Yield Reduced Social Welfare Under Competition
Meena Jagadeesan, Michael I. Jordan, Jacob Steinhardt +1
As the scale of machine learning models increases, trends such as scaling laws anticipate consistent downstream improvements in predictive accuracy. However, these trends take the…
Incentivizing High-Quality Content in Online Recommender Systems
Xinyan Hu, Meena Jagadeesan, Michael I. Jordan +1
In content recommender systems such as TikTok and YouTube, the platform's recommendation algorithm shapes content producer incentives. Many platforms employ online learning, which…
Competition, Alignment, and Equilibria in Digital Marketplaces
Meena Jagadeesan, Michael I. Jordan, Nika Haghtalab
Competition between traditional platforms is known to improve user utility by aligning the platform's actions with user preferences. But to what extent is alignment exhibited in da…
Supply-Side Equilibria in Recommender Systems
Meena Jagadeesan, Nikhil Garg, Jacob Steinhardt
Algorithmic recommender systems such as Spotify and Netflix affect not only consumer behavior but also producer incentives. Producers seek to create content that will be shown by t…
Individual Fairness in Advertising Auctions through Inverse Proportionality
Shuchi Chawla, Meena Jagadeesan
Recent empirical work demonstrates that online advertisement can exhibit bias in the delivery of ads across users even when all advertisers bid in a non-discriminatory manner. We s…
Multi-Category Fairness in Sponsored Search Auctions
Shuchi Chawla, Christina Ilvento, Meena Jagadeesan
Fairness in advertising is a topic of particular concern motivated by theoretical and empirical observations in both the computer science and economics literature. We examine the p…