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Ziv Epstein
Ziv Epstein
Other namesZivvy Epstein
Stanford University
Verified email at mit.edu - Homepage
Title
Cited by
Cited by
Year
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
981*2021
Risking your life without a second thought: Intuitive decision-making and extreme altruism
DG Rand, ZG Epstein
PloS one 9 (10), e109687, 2014
2182014
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
1332022
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
105*2020
Art and the science of generative AI
Z Epstein, A Hertzmann, Investigators of Human Creativity, M Akten, ...
Science 380 (6650), 1110-1111, 2023
1012023
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
982021
Understanding and Combating Misinformation Across 16 Countries on Six Continents
AA Arechar, J Allen, AJ Berinsky, R Cole, Z Epstein, K Garimella, A Gully, ...
76*2023
Who gets credit for ai-generated art?
Z Epstein, S Levine, DG Rand, I Rahwan
iScience 23 (9), 101515, 2020
70*2020
Digital literacy is associated with more discerning accuracy judgments but not sharing intentions
N Sirlin, Z Epstein, AA Arechar, DG Rand
Shorenstein Center for Media, Politics, and Public Policy, 2021
632021
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
452018
The social media context interferes with truth discernment
Z Epstein, N Sirlin, A Arechar, G Pennycook, D Rand
Science Advances 9 (9), eabo6169, 2023
43*2023
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
342016
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
262022
Human detection of machine-manipulated media
M Groh, Z Epstein, N Obradovich, M Cebrian, I Rahwan
Communications of the ACM 64 (10), 40-47, 2021
242021
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
222016
Art and the science of generative AI: A deeper dive
Z Epstein, A Hertzmann, L Herman, R Mahari, MR Frank, M Groh, ...
arXiv preprint arXiv:2306.04141, 2023
182023
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
182018
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
172022
Interpolating GANs to scaffold autotelic creativity
Z Epstein, O Boulais, S Gordon, M Groh
International Conference on Computation Creativity, 2020
162020
How many others have shared this? Experimentally investigating the effects of social cues on engagement, misinformation, and unpredictability on social media
Z Epstein, H Lin, G Pennycook, D Rand
arXiv preprint arXiv:2207.07562, 2022
112022
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Articles 1–20