Research

Publications

[1] Generative AI in the Era of “Alternative Facts”. (Link)

• Saadia Gabriel, Liang Lyu, James Siderius, Marzyeh Ghassemi, Jacob Andreas, Asu Ozdaglar.

• Accepted to the 2024 conference on Empirical Methods in Natural Language Processing (EMNLP 2024).

[2] Matching of Users and Creators in Two-Sided Markets with Departures. (arXiv)

• Daniel Huttenlocher, Hannah Li, Liang Lyu (corresponding author), Asuman Ozdaglar, and James Siderius.

• ArXiv preprint (2023). To be submitted to Operations Research in the future.

• Previously appeared as: Dynamic Matching of Users and Creators on Social Media Platforms.

Other Ongoing Projects

Influencer Advertising and Matching: A Model Inspired by TikTok Content Creators.

• With Gary Qiurui Ma.

Examining the Impacts of ChatGPT on Wikipedia Activity.

• With Daron Acemoglu, Daniel Huttenlocher, Hannah Li, Asuman Ozdaglar, and James Siderius

Misinformation Online to Offline: A Twitter Field Study.

• With Daron Acemoglu, Adam Berinsky, Asuman Ozdaglar, and James Siderius.

An Experiment on Algorithmic Ranking: User Behavior, Platform Incentives, and Policy.

• With Daniel Huttenlocher, Asuman Ozdaglar, and James Siderius.

Previous Work

[1] Centrality with Diversity.

• Liang Lyu, Brandon Fain, Kamesh Munagala, and Kangning Wang.

• WSDM ‘21: Proceedings of the 14th ACM International Conference on Web Search and Data Mining. March 2021. Pages 644-652.

[2] Proportionally Fair Clustering.

• Xingyu Chen, Brandon Fain, Liang Lyu, Kamesh Munagala.

• Proceedings of the 36th International Conference on Machine Learning, PMLR 97:1032-1041, 2019.