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Ziv Epstein
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Shifting attention to accuracy can reduce misinformation online
G Pennycook, Z Epstein, M Mosleh, AA Arechar, D Eckles, DG Rand
Nature 592 (7855), 590-595, 2021
361*2021
Risking your life without a second thought: Intuitive decision-making and extreme altruism
DG Rand, ZG Epstein
PloS one 9 (10), e109687, 2014
1802014
Will the crowd game the algorithm? Using layperson judgments to combat misinformation on social media by downranking distrusted sources
Z Epstein, G Pennycook, D Rand
Proceedings of the 2020 CHI conference on human factors in computing systems …, 2020
51*2020
Closing the AI Knowledge Gap
Z Epstein, BH Payne, J Shen, A Dubey, B Felbo, M Groh, N Obradovich, ...
arXiv preprint arXiv:1803.07233, 2018
312018
Developing an accuracy-prompt toolkit to reduce COVID-19 misinformation online
Z Epstein, AJ Berinsky, R Cole, A Gully, G Pennycook, DG Rand
Shorenstein Center for Media, Politics, and Public Policy, 2021
242021
Using clinical data to predict high-cost performance coding issues associated with pressure ulcers: a multilevel cohort model
WV Padula, RD Gibbons, PJ Pronovost, D Hedeker, MK Mishra, ...
Journal of the American Medical Informatics Association 24 (e1), e95-e102, 2016
242016
Who gets credit for ai-generated art?
Z Epstein, S Levine, DG Rand, I Rahwan
Iscience 23 (9), 101515, 2020
22*2020
The good, the bad, and the unflinchingly selfish: Cooperative decision-making can be predicted with high accuracy when using only three behavioral types
Z Epstein, A Peysakhovich, DG Rand
Proceedings of the 2016 ACM Conference on Economics and Computation, 547-559, 2016
192016
Deepfake detection by human crowds, machines, and machine-informed crowds
M Groh, Z Epstein, C Firestone, R Picard
Proceedings of the National Academy of Sciences 119 (1), e2110013119, 2022
17*2022
Human detection of machine manipulated media
M Groh, Z Epstein, N Obradovich, M Cebrian, I Rahwan
arXiv preprint arXiv:1907.05276, 2019
112019
TuringBox: An experimental platform for the evaluation of AI systems
Z Epstein, BH Payne, JH Shen, CJ Hong, B Felbo, A Dubey, M Groh, ...
IJCAI 2018, 5826-5828, 2018
112018
Interpolating GANs to scaffold autotelic creativity
Z Epstein, O Boulais, S Gordon, M Groh
International Conference on Computation Creativity, 2020
62020
Understanding and reducing online misinformation across 16 countries on six continents
AA Arechar, JNL Allen, R Cole, Z Epstein, K Garimella, A Gully, JG Lu, ...
PsyArXiv, 2022
42022
Towards a new social laboratory: an experimental study of search through community participation at burning man
Z Epstein, M Epstein, C Almenar, M Groh, N Pescetelli, E Moro, ...
arXiv preprint arXiv:1903.04125, 2019
22019
Using Machine Learning To Populate A Markov Model By Mining Big Data Directly From Hospital Ehrs–An Application To Dynamically Predict Hospital-Acquired Pressure Ulcers
W Padula, MB Makic, Z Epstein, J Gemmell, MK Mishra, D Meltzer
Value in Health 18 (7), A694, 2015
22015
Digital literacy is associated with more discerning accuracy judgments but not sharing intentions
N Sirlin, Z Epstein, AA Arechar, DG Rand
Harvard Kennedy School Misinformation Review, 2021
12021
Social media sharing reduces truth discernment
Z Epstein, N Sirlin, AA Arechar, G Pennycook, D Rand
PsyArXiv, 2021
1*2021
Co-creation and ownership for AI radio
S Gordon, R Mahari, M Mishra, Z Epstein
arXiv preprint arXiv:2206.00485, 2022
2022
When happy accidents spark creativity: Bringing collaborative speculation to life with generative AI
Z Epstein, H Schroeder, D Newman
arXiv preprint arXiv:2206.00533, 2022
2022
Do explanations increase the effectiveness of AI-crowd generated fake news warnings?
Z Epstein, N Foppiani, S Hilgard, S Sharma, E Glassman, D Rand
Proceedings of the International AAAI Conference on Web and Social Media 16 …, 2022
2022
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Articles 1–20