David M. Rothschild

According to our database, David M. Rothschild authored at least 20 papers between 2013 and 2026.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2026

Agentic Markets: Equilibrium Effects of Improving Consumer Search.

Brendan Lucier, Nicole Immorlica, Markus Mobius, Aleksandrs Slivkins, Daniel G. Goldstein, Jake M. Hofman, Sonia Jaffe, David M. Rothschild

CoRR, March, 2026

The Agentic Economy.

David M. Rothschild, Markus Mobius, Jake M. Hofman, Eleanor Dillon, Daniel G. Goldstein, Nicole Immorlica, Sonia Jaffe, Brendan Lucier, Aleksandrs Slivkins, Matthew Vogel

Commun. ACM, February, 2026

Effects of LLM use and note-taking on reading comprehension and memory: A randomised experiment in secondary schools.

Pia Kreijkes, Viktor Kewenig, Martina Kuvalja, Mina Lee, Jake M. Hofman, Sylvia Vitello, Abigail Sellen, Sean Rintel, Daniel G. Goldstein, David M. Rothschild, Lev Tankelevitch, Tim Oates

Comput. Educ., 2026

2025

Magentic Marketplace: An Open-Source Environment for Studying Agentic Markets.

Gagan Bansal, Wenyue Hua, Zezhou Huang, Adam Fourney, Amanda Swearngin, Will Epperson, Tyler Payne, Jake M. Hofman, Brendan Lucier, Chinmay Singh, Markus Mobius, Akshay Nambi, Archana Yadav, Kevin Gao, David M. Rothschild, Aleksandrs Slivkins, Daniel G. Goldstein, Hussein Mozannar, Nicole Immorlica, Maya Murad, Matthew Vogel, Subbarao Kambhampati, Eric Horvitz, Saleema Amershi

CoRR, October, 2025

The Media Bias Detector: A Framework for Annotating and Analyzing the News at Scale.

Samar Haider, Amir Tohidi, Jenny S. Wang, Timothy Dörr, David M. Rothschild, Chris Callison-Burch, Duncan J. Watts

CoRR, September, 2025

Bringing Everyone to the Table: An Experimental Study of LLM-Facilitated Group Decision Making.

Mohammed Alsobay, David M. Rothschild, Jake M. Hofman, Daniel G. Goldstein

CoRR, August, 2025

Prevalence and Prevention of Large Language Model Use in Crowd Work.

Veniamin Veselovsky, Manoel Horta Ribeiro, Philip Cozzolino, Andrew Gordon, David M. Rothschild, Robert West

Commun. ACM, March, 2025

Media Bias Detector: Designing and Implementing a Tool for Real-Time Selection and Framing Bias Analysis in News Coverage.

Jenny S. Wang, Samar Haider, Amir Tohidi, Anushkaa Gupta, Yuxuan Zhang, Chris Callison-Burch, David M. Rothschild, Duncan J. Watts

Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 2025

Effects of LLM-based Search on Decision Making: Speed, Accuracy, and Overreliance.

Sofia Eleni Spatharioti, David M. Rothschild, Daniel G. Goldstein, Jake M. Hofman

Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 2025

Math Education With Large Language Models: Peril or Promise?

Harsh Kumar, David M. Rothschild, Daniel G. Goldstein, Jake M. Hofman

Proceedings of the Artificial Intelligence in Education - 26th International Conference, 2025

2024

Designing Expressive and Liquid Financial Options Markets via Linear Programming and Automated Market Making.

Xintong Wang, David M. Pennock, David M. Rothschild, Nikhil R. Devanur

Proceedings of the 5th ACM International Conference on AI in Finance, 2024

2023

The diminishing state of shared reality on US television news.

Homa Hosseinmardi, Samuel Wolken, David M. Rothschild, Duncan J. Watts

CoRR, 2023

The science of fake news.

David M. J. Lazer, Matthew A. Baum, Yochai Benkler, Adam J. Berinsky, Kelly M. Greenhill, Filippo Menczer, Miriam J. Metzger, Brendan Nyhan, Gordon Pennycook, David M. Rothschild, Michael Schudson, Steven A. Sloman, Cass R. Sunstein, Emily A. Thorson, Duncan J. Watts, Jonathan L. Zittrain

CoRR, 2023

Comparing Traditional and LLM-based Search for Consumer Choice: A Randomized Experiment.

Sofia Eleni Spatharioti, David M. Rothschild, Daniel G. Goldstein, Jake M. Hofman

CoRR, 2023

2021

Designing a Combinatorial Financial Options Market.

Xintong Wang, David M. Pennock, Nikhil R. Devanur, David M. Rothschild, Biaoshuai Tao, Michael P. Wellman

Proceedings of the EC '21: The 22nd ACM Conference on Economics and Computation, 2021

Towards a Theory of Confidence in Market-Based Predictions.

Rupert Freeman, David M. Pennock, Daniel M. Reeves, David M. Rothschild, Bo Waggoner

Proceedings of the International Symposium on Imprecise Probability: Theories and Applications, 2021

Log-time Prediction Markets for Interval Securities.

Miroslav Dudík, Xintong Wang, David M. Pennock, David M. Rothschild

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020

Evaluating the scale, growth, and origins of right-wing echo chambers on YouTube.

Homa Hosseinmardi, Amir Ghasemian, Aaron Clauset, David M. Rothschild, Markus Mobius, Duncan J. Watts

CoRR, 2020

2014

The extent of price misalignment in prediction markets.

David M. Rothschild, David M. Pennock

Algorithmic Finance, 2014

2013

A combinatorial prediction market for the U.S. elections.

Miroslav Dudík, Sébastien Lahaie, David M. Pennock, David M. Rothschild

Proceedings of the fourteenth ACM Conference on Electronic Commerce, 2013