Related blog post: Montreal AI Ethics Blog
The Challenge of Understanding What Users Want: Inconsistent Preferences and Engagement OptimizationJon Kleinberg, Sendhil Mullainathan, and Manish Raghavan. Management Science, November 2023 [video]
A preliminary version of this paper appeared at EC 2022, where it was awarded Exemplary Applied Modeling Track Paper
Related blog posts: Montreal AI Ethics Blog, MIT Initiative on the Digital Economy
Press: Cornell Chronicle
Simplistic Collection and Labeling Practices Limit the Utility of Benchmark Datasets for Twitter Bot DetectionChris Hays, Zachary Schutzman, Manish Raghavan, Erin Walk, Philipp Zimmer. The Web Conference 2023
Best Paper Award
Press: Fast Company
Press: Communications of the ACM, MIT Technology Review, Fortune, Fortune (video), TechTarget, The Globe and Mail, HR Technologist, Cornell Chronicle
Also appeared as:
Designing Evaluation Rules that are Robust to Strategic Behavior at the AAAI-20 Sister Conference Track.
How Do Classifiers Induce Agents to Invest Effort Strategically? in ACM Transactions on Economics and Computation, October 2020.
Algorithmic Classification and Strategic Effort in SIGecom Exchanges, November 2020.
For more details on the technical results, see Greedy Algorithm almost Dominates in Smoothed Contextual Bandits.
Press: Washington Post, ProPublica, Harvard Business Review