Daniel G. Goldstein

39 papers A* 17Journal 19Unranked 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`	Learning not cheating: AI assistance can enhance rather than hinder skill development. CoRR Benjamin Lira, Todd Rogers, Daniel G. Goldstein, Lyle H. Ungar, Angela Lee Duckworth
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	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
2024	A*	`conf`	Using Open Data to Automatically Generate Localized Analogies. CHI Sofia Eleni Spatharioti, Daniel G. Goldstein, Jake M. Hofman
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`	Comparing scalable strategies for generating numerical perspectives. CoRR Hancheng Cao, Sofia Eleni Spatharioti, Daniel G. Goldstein, Jake M. Hofman
2022	J	`jnl`	How Good is Good Enough? Quantifying the Impact of Benefits, Accuracy, and Privacy on Willingness to Adopt COVID-19 Decision Aids. DTRAP Gabriel Kaptchuk, Daniel G. Goldstein, Eszter Hargittai, Jake M. Hofman, Elissa M. Redmiles
2022	A*	`conf`	Investigating Perceptual Biases in Icon Arrays. CHI Cindy Xiong, Ali Sarvghad, Daniel G. Goldstein, Jake M. Hofman, Çagatay Demiralp
2022	A*	`conf`	Putting scientific results in perspective: Improving the communication of standardized effect sizes. CHI Yea-Seul Kim, Jake M. Hofman, Daniel G. Goldstein
2022	A*	`conf`	Round Numbers Can Sharpen Cognition. CHI Huy Anh Nguyen, Jake M. Hofman, Daniel G. Goldstein
2021	A*	`conf`	Datamations: Animated Explanations of Data Analysis Pipelines. CHI Xiaoying Pu, Sean Kross, Jake M. Hofman, Daniel G. Goldstein
2021	A*	`conf`	Manipulating and Measuring Model Interpretability. CHI Forough Poursabzi-Sangdeh, Daniel G. Goldstein, Jake M. Hofman, Jennifer Wortman Vaughan, Hanna M. Wallach
2020	—	`conf`	Expanding the Scope of Reproducibility Research Through Data Analysis Replications. WWW (Companion Volume) Jake M. Hofman, Daniel G. Goldstein, Siddhartha Sen, Forough Poursabzi-Sangdeh
2020	A*	`conf`	How Visualizing Inferential Uncertainty Can Mislead Readers About Treatment Effects in Scientific Results. CHI Jake M. Hofman, Daniel G. Goldstein, Jessica Hullman
2020	J	`jnl`	How good is good enough for COVID19 apps? The influence of benefits, accuracy, and privacy on willingness to adopt. CoRR Gabriel Kaptchuk, Daniel G. Goldstein, Eszter Hargittai, Jake M. Hofman, Elissa M. Redmiles
2020	J	`jnl`	Learning When to Stop Searching. Manag. Sci. Daniel G. Goldstein, R. Preston McAfee, Siddharth Suri, James R. Wright
2018	J	`jnl`	Manipulating and Measuring Model Interpretability. CoRR Forough Poursabzi-Sangdeh, Daniel G. Goldstein, Jake M. Hofman, Jennifer Wortman Vaughan, Hanna M. Wallach
2018	A*	`conf`	To Put That in Perspective: Generating Analogies that Make Numbers Easier to Understand. CHI Christopher Riederer, Jake M. Hofman, Daniel G. Goldstein
2017	A*	`conf`	Learning in the Repeated Secretary Problem. EC Daniel G. Goldstein, R. Preston McAfee, Siddharth Suri, James R. Wright
2017	J	`jnl`	Learning in the Repeated Secretary Problem. CoRR Daniel G. Goldstein, R. Preston McAfee, Siddharth Suri, James R. Wright
2017	A*	`conf`	VoxPL: Programming with the Wisdom of the Crowd. CHI Daniel W. Barowy, Emery D. Berger, Daniel G. Goldstein, Siddharth Suri
2016	J	`jnl`	Erratum to: The role of subjective beliefs in preferences for redistribution. Soc. Choice Welf. Lionel Page, Daniel G. Goldstein
2016	A*	`conf`	Improving Comprehension of Numbers in the News. CHI Pablo Javier Barrio, Daniel G. Goldstein, Jake M. Hofman
2016	J	`jnl`	Subjective beliefs about the income distribution and preferences for redistribution. Soc. Choice Welf. Lionel Page, Daniel G. Goldstein
2015	J	`jnl`	Improving the Effectiveness of Time-Based Display Advertising. ACM Trans. Economics and Comput. Daniel G. Goldstein, R. Preston McAfee, Siddharth Suri
2014	J	`jnl`	Predicting Individual Behavior with Social Networks. Mark. Sci. Sharad Goel, Daniel G. Goldstein
2014	J	`jnl`	The cost of annoying ads. SIGecom Exch. Daniel G. Goldstein, R. Preston McAfee, Siddharth Suri
2014	A*	`conf`	The wisdom of smaller, smarter crowds. EC Daniel G. Goldstein, Randolph Preston McAfee, Siddharth Suri
2013	A*	`conf`	The cost of annoying ads. WWW Daniel G. Goldstein, R. Preston McAfee, Siddharth Suri
2012	A*	`conf`	Improving the effectiveness of time-based display advertising. EC Daniel G. Goldstein, Randolph Preston McAfee, Siddharth Suri
2012	A*	`conf`	The structure of online diffusion networks. EC Sharad Goel, Duncan J. Watts, Daniel G. Goldstein
2011	—	`conf`	Honesty in an Online Labor Market. Human Computation Siddharth Suri, Daniel G. Goldstein, Winter A. Mason
2011	A*	`conf`	The effects of exposure time on memory of display advertisements. EC Daniel G. Goldstein, R. Preston McAfee, Siddharth Suri