Hofman, Jake M.

Everyone's an influencer: quantifying influence on twitter

Bakshy, E., Hofman, J. M., Mason, W. A., & Watts, D. J. (2011) · Proceedings of the fourth ACM international conference on Web search and data mining

Complex Network Analysis TechniquesDigital Marketing and Social Media

Cited by 1,689

Manipulating and Measuring Model Interpretability

Poursabzi-Sangdeh, F., Goldstein, D. G., Hofman, J. M., Wortman Vaughan, J. W., & Wallach, H. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Explainable Artificial Intelligence (XAI)Human-Automation Interaction and Safety

Cited by 728

Manipulating and Measuring Model Interpretability

Poursabzi-Sangdeh, F., Goldstein, D. G., Hofman, J. M., Vaughan, J. W., & Wallach, H. (2018) · arXiv

Explainable Artificial Intelligence (XAI)Human-Automation Interaction and Safety

Cited by 711

Predicting consumer behavior with web search

Goel, S., Hofman, J. M., Lahaie, S., Pennock, D. M., & Watts, D. J. (2010) · Proceedings of the National Academy of Sciences

Data-Driven Disease SurveillanceForecasting Techniques and Applications

Cited by 636

Prediction and explanation in social systems

Hofman, J. M., Sharma, A., & Watts, D. J. (2017) · Science

Philosophy of Biology and Scientific ExplanationSocial Science and Policy Research

Cited by 429

Integrating explanation and prediction in computational social science

Hofman, J. M., Watts, D. J., Athey, S., Garip, F., Griffiths, T. L., Kleinberg, J., Margetts, H., Mullainathan, S., Salganik, M. J., Vazire, S., et al. (2021) · Nature

Philosophy of Biology and Scientific ExplanationMulti-Agent Systems and Negotiation

Cited by 371

Online and Social Media Data As an Imperfect Continuous Panel Survey

Diaz, F., Gamon, M., Hofman, J. M., Kıcıman, E., & Rothschild, D. (2016) · PLOS ONE

Social Media and PoliticsSentiment Analysis and Opinion Mining

Cited by 131

How Visualizing Inferential Uncertainty Can Mislead Readers About Treatment Effects in Scientific Results

Hofman, J. M., Goldstein, D. G., & Hullman, J. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Data Visualization and AnalyticsDecision-Making and Behavioral Economics

Cited by 75

Math Education with Large Language Models: Peril or Promise?

Kumar, H., Rothschild, D. M., Goldstein, D. G., & Hofman, J. (2023) · Lecture notes in computer science

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

Cited by 54

Math Education With Large Language Models: Peril or Promise?

Kumar, H., Rothschild, D. M., Goldstein, D. G., & Hofman, J. M. (2025) · Lecture Notes in Computer Science

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

Cited by 54

An illusion of predictability in scientific results: Even experts confuse inferential uncertainty and outcome variability

Zhang, S., Heck, P. R., Meyer, M. N., Chabris, C. F., Goldstein, D. G., & Hofman, J. M. (2023) · Proceedings of the National Academy of Sciences

Data Visualization and AnalyticsMeta-analysis and systematic reviews

Cited by 30

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

Spatharioti, S. E., Rothschild, D. M., Goldstein, D. G., & Hofman, J. M. (2023) · arXiv

Information Retrieval and Search BehaviorRecommender Systems and Techniques

Cited by 26

The Agentic Economy

Rothschild, D. M., Mobius, M., Hofman, J. M., Dillon, E. W., Goldstein, D. G., Immorlica, N., Jaffe, S., Lucier, B., Slivkins, A., & Vogel, M. (2025) · arXiv

Ethics and Social Impacts of AITechnology's Impact on Media

Cited by 23

The Agentic Economy

Rothschild, D. M., Mobius, M. M., Hofman, J. M., Dillon, E., Goldstein, D. G., Immorlica, N., Jaffe, S., Lucier, B., Slivkins, A., & Vogel, M. (2026) · Communications of the ACM

Ethics and Social Impacts of AITechnology's Impact on Media

Cited by 9

ChatBench: From Static Benchmarks to Human-AI Evaluation

Chang, S., Anderson, A., & Hofman, J. M. (2025) · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Speech and dialogue systemsIntelligent Tutoring Systems and Adaptive Learning

Cited by 5

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

Bansal, G., Hua, W., Huang, Z., Fourney, A., Swearngin, A., Epperson, W., Payne, T., Hofman, J. M., Lucier, B., Singh, C., et al. (2025) · arXiv

Multi-Agent Systems and NegotiationEthics and Social Impacts of AI

Cited by 0