Ziv Epstein
Ziv Epstein
Other namesZivvy Epstein
Stanford University
Verified email at - Homepage
Cited by
Cited by
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
Risking your life without a second thought: Intuitive decision-making and extreme altruism
DG Rand, ZG Epstein
PloS one 9 (10), e109687, 2014
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
Art and the science of generative AI
Z Epstein, A Hertzmann, Investigators of Human Creativity, M Akten, ...
Science 380 (6650), 1110-1111, 2023
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
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
Understanding and Combating Misinformation Across 16 Countries on Six Continents
AA Arechar, J Allen, AJ Berinsky, R Cole, Z Epstein, K Garimella, A Gully, ...
Who gets credit for ai-generated art?
Z Epstein, S Levine, DG Rand, I Rahwan
iScience 23 (9), 101515, 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
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
The social media context interferes with truth discernment
Z Epstein, N Sirlin, A Arechar, G Pennycook, D Rand
Science Advances 9 (9), eabo6169, 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
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
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
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
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
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
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
Interpolating GANs to scaffold autotelic creativity
Z Epstein, O Boulais, S Gordon, M Groh
International Conference on Computation Creativity, 2020
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
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