David M. Rothschild

25 papers A* 4A 1Journal 17Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Agentic Markets: Equilibrium Effects of Improving Consumer Search. CoRR Brendan Lucier, Nicole Immorlica, Markus Mobius, Aleksandrs Slivkins, Daniel G. Goldstein, Jake M. Hofman, Sonia Jaffe, David M. Rothschild
2026	J	`jnl`	Effects of LLM use and note-taking on reading comprehension and memory: A randomised experiment in secondary schools. Comput. Educ. 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
2026	J	`jnl`	The Agentic Economy. Commun. ACM David M. Rothschild, Markus Mobius, Jake M. Hofman, Eleanor Dillon, Daniel G. Goldstein, Nicole Immorlica, Sonia Jaffe, Brendan Lucier, Aleksandrs Slivkins, Matthew Vogel
2025	J	`jnl`	Bringing Everyone to the Table: An Experimental Study of LLM-Facilitated Group Decision Making. CoRR Mohammed Alsobay, David M. Rothschild, Jake M. Hofman, Daniel G. Goldstein
2025	A*	`conf`	Effects of LLM-based Search on Decision Making: Speed, Accuracy, and Overreliance. CHI Sofia Eleni Spatharioti, David M. Rothschild, Daniel G. Goldstein, Jake M. Hofman
2025	J	`jnl`	Magentic Marketplace: An Open-Source Environment for Studying Agentic Markets. CoRR 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
2025	—	`conf`	Math Education With Large Language Models: Peril or Promise? AIED (4) Harsh Kumar, David M. Rothschild, Daniel G. Goldstein, Jake M. Hofman
2025	A*	`conf`	Media Bias Detector: Designing and Implementing a Tool for Real-Time Selection and Framing Bias Analysis in News Coverage. CHI Jenny S. Wang, Samar Haider, Amir Tohidi, Anushkaa Gupta, Yuxuan Zhang, Chris Callison-Burch, David M. Rothschild, Duncan J. Watts
2025	J	`jnl`	Media Bias Detector: Designing and Implementing a Tool for Real-Time Selection and Framing Bias Analysis in News Coverage. CoRR Jenny S. Wang, Samar Haider, Amir Tohidi, Anushkaa Gupta, Yuxuan Zhang, Chris Callison-Burch, David M. Rothschild, Duncan J. Watts
2025	J	`jnl`	Prevalence and Prevention of Large Language Model Use in Crowd Work. Commun. ACM Veniamin Veselovsky, Manoel Horta Ribeiro, Philip Cozzolino, Andrew Gordon, David M. Rothschild, Robert West
2025	J	`jnl`	The Agentic Economy. CoRR David M. Rothschild, Markus Mobius, Jake M. Hofman, Eleanor Wiske Dillon, Daniel G. Goldstein, Nicole Immorlica, Sonia Jaffe, Brendan Lucier, Aleksandrs Slivkins, Matthew Vogel
2025	J	`jnl`	The Media Bias Detector: A Framework for Annotating and Analyzing the News at Scale. CoRR Samar Haider, Amir Tohidi, Jenny S. Wang, Timothy Dörr, David M. Rothschild, Chris Callison-Burch, Duncan J. Watts
2024	—	`conf`	Designing Expressive and Liquid Financial Options Markets via Linear Programming and Automated Market Making. ICAIF Xintong Wang, David M. Pennock, David M. Rothschild, Nikhil R. Devanur
2023	J	`jnl`	Comparing Traditional and LLM-based Search for Consumer Choice: A Randomized Experiment. CoRR Sofia Eleni Spatharioti, David M. Rothschild, Daniel G. Goldstein, Jake M. Hofman
2023	J	`jnl`	Prevalence and prevention of large language model use in crowd work. CoRR Veniamin Veselovsky, Manoel Horta Ribeiro, Philip Cozzolino, Andrew Gordon, David M. Rothschild, Robert West
2023	J	`jnl`	The diminishing state of shared reality on US television news. CoRR Homa Hosseinmardi, Samuel Wolken, David M. Rothschild, Duncan J. Watts
2023	J	`jnl`	The science of fake news. CoRR 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
2021	A*	`conf`	Designing a Combinatorial Financial Options Market. EC Xintong Wang, David M. Pennock, Nikhil R. Devanur, David M. Rothschild, Biaoshuai Tao, Michael P. Wellman
2021	J	`jnl`	Designing a Combinatorial Financial Options Market. CoRR Xintong Wang, David M. Pennock, Nikhil R. Devanur, David M. Rothschild, Biaoshuai Tao, Michael P. Wellman
2021	A	`conf`	Log-time Prediction Markets for Interval Securities. AAMAS Miroslav Dudík, Xintong Wang, David M. Pennock, David M. Rothschild
2021	J	`jnl`	Log-time Prediction Markets for Interval Securities. CoRR Miroslav Dudík, Xintong Wang, David M. Pennock, David M. Rothschild
2021	—	`conf`	Towards a Theory of Confidence in Market-Based Predictions. ISIPTA Rupert Freeman, David M. Pennock, Daniel M. Reeves, David M. Rothschild, Bo Waggoner
2020	J	`jnl`	Evaluating the scale, growth, and origins of right-wing echo chambers on YouTube. CoRR Homa Hosseinmardi, Amir Ghasemian, Aaron Clauset, David M. Rothschild, Markus Mobius, Duncan J. Watts
2014	J	`jnl`	The extent of price misalignment in prediction markets. Algorithmic Finance David M. Rothschild, David M. Pennock
2013	A*	`conf`	A combinatorial prediction market for the U.S. elections. EC Miroslav Dudík, Sébastien Lahaie, David M. Pennock, David M. Rothschild