Dodds, Peter Sheridan

Experimental Study of Inequality and Unpredictability in an Artificial Cultural Market

Salganik, M. J., Dodds, P. S., & Watts, D. J. (2006) · Science

Experimental Behavioral Economics StudiesComplex Systems and Time Series Analysis

Cited by 2,231

Temporal patterns of happiness and information in a global social network: hedonometrics and Twitter

Dodds, P. S., Harris, K. D., Kloumann, I. M., Bliss, C. A., & Danforth, C. M. (2011) · PLoS ONE

Psychological Well-being and Life SatisfactionSentiment Analysis and Opinion Mining

Cited by 809

Re-Examination of the “3/4-Law” of Metabolism

DODDS, P. S., ROTHMAN, D. H., & WEITZ, J. S. (2001) · Journal of Theoretical Biology

Physiological and biochemical adaptationsEvolution and Paleontology Studies

Cited by 589

Forecasting the onset and course of mental illness with Twitter data

Reece, A. G., Reagan, A. J., Lix, K. L. M., Dodds, P. S., Danforth, C. M., & Langer, E. J. (2017) · Scientific Reports

Mental Health via WritingEmotion and Mood Recognition

Cited by 401

Human language reveals a universal positivity bias

Dodds, P. S., Clark, E. M., Desu, S., Frank, M. R., Reagan, A. J., Williams, J. R., Mitchell, L., Harris, K. D., Kloumann, I. M., Bagrow, J. P., et al. (2015) · Proceedings of the National Academy of Sciences

Sentiment Analysis and Opinion MiningEmotion and Mood Recognition

Cited by 401

Doomscrolling during COVID-19: The negative association between daily social and traditional media consumption and mental health symptoms during the COVID-19 pandemic.

Price, M., Legrand, A. C., Brier, Z. M. F., van Stolk-Cooke, K., Peck, K., Dodds, P. S., Danforth, C. M., & Adams, Z. W. (2022) · Psychological Trauma: Theory, Research, Practice, and Policy

COVID-19 and Mental HealthCommunication and COVID-19 Impact

Cited by 141

Generalized word shift graphs: a method for visualizing and explaining pairwise comparisons between texts

Gallagher, R. J., Frank, M. R., Mitchell, L., Schwartz, A. J., Reagan, A. J., Danforth, C. M., & Dodds, P. S. (2021) · EPJ Data Science

Computational and Text Analysis MethodsDigital Humanities and Scholarship

Cited by 70

Foregrounding Artist Opinions: A Survey Study on Transparency, Ownership, and Fairness in AI Generative Art

Lovato, J., Zimmerman, J. W., Smith, I., Dodds, P., & Karson, J. L. (2024) · Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society

Ethics and Social Impacts of AILaw, AI, and Intellectual Property

Cited by 33

Interpretable Bias Mitigation for Textual Data: Reducing Genderization in Patient Notes While Maintaining Classification Performance

Minot, J. R., Cheney, N., Maier, M., Elbers, D. C., Danforth, C. M., & Dodds, P. S. (2022) · ACM Transactions on Computing for Healthcare

Ethics and Social Impacts of AIMachine Learning in Healthcare

Cited by 23