Horton, John

The future of crowd work

Kittur, A., Nickerson, J. V., Bernstein, M., Gerber, E., Shaw, A., Zimmerman, J., Lease, M., & Horton, J. (2013) · Proceedings of the 2013 conference on Computer supported cooperative work

Mobile Crowdsensing and CrowdsourcingDigital Economy and Work Transformation

Cited by 1,034

COVID-19 and Remote Work: An Early Look at US Data

Brynjolfsson, E., Horton, J., Ozimek, A., Rock, D., Sharma, G., & TuYe, H.-Y. (2020) · National Bureau of Economic Research

COVID-19 Pandemic ImpactsWork-Family Balance Challenges

Cited by 932

Large Language Models as Simulated Economic Agents: What Can We Learn from Homo Silicus?

Horton, J., Filippas, A., & Manning, B. (2023) · National Bureau of Economic Research

Decision-Making and Behavioral EconomicsExperimental Behavioral Economics Studies

Cited by 329

The Effects of Algorithmic Labor Market Recommendations: Evidence from a Field Experiment

Horton, J. J. (2017) · Journal of Labor Economics

Names, Identity, and Discrimination ResearchAI and HR Technologies

Cited by 203

Large Language Models as Simulated Economic Agents: What Can We Learn from Homo Silicus?

Horton, J. J., Filippas, A., & Manning, B. S. (2023) · arXiv

Decision-Making and Behavioral EconomicsExperimental Behavioral Economics Studies

Cited by 47

The Coasean Singularity? Demand, Supply, and Market Design with AI Agents

Shahidi, P., Rusak, G., Manning, B., Fradkin, A., & Horton, J. (2025) · National Bureau of Economic Research

Digital Platforms and EconomicsLaw, Economics, and Judicial Systems

Cited by 18

Generative AI and Labor Market Matching Efficiency

Wiles, E., & Horton, J. J. (2025) · SSRN Electronic Journal

Labor market dynamics and wage inequalityEmployer Branding and e-HRM

Cited by 6