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
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
Art and the science of generative AI
Z Epstein, A Hertzmann, Investigators of Human Creativity, M Akten, ...
Science 380 (6650), 1110-1111, 2023
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
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
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
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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