Ziv Epstein
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
178*2021
Risking your life without a second thought: Intuitive decision-making and extreme altruism
DG Rand, ZG Epstein
Plos one 9 (10), e109687, 2014
1692014
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
35*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
222018
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
202016
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
172016
Who gets credit for AI-generated art?
Z Epstein, S Levine, DG Rand, I Rahwan
Iscience 23 (9), 101515, 2020
112020
Developing an accuracy-prompt toolkit to reduce COVID-19 misinformation online
Z Epstein, AJ Berinsky, R Cole, A Gully, G Pennycook, DG Rand
Harvard Kennedy School Misinformation Review, 2021
102021
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
72021
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
62018
Interpolating gans to scaffold autotelic creativity
Z Epstein, O Boulais, S Gordon, M Groh
arXiv preprint arXiv:2007.11119, 2020
32020
Comparing Human and Machine Deepfake Detection with Affective and Holistic Processing
M Groh, Z Epstein, C Firestone, R Picard
arXiv preprint arXiv:2105.06496, 2021
22021
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
Social Media Sharing Reduces Truth Discernment
Z Epstein, N Sirlin, AA Arechar, G Pennycook, D Rand
PsyArXiv, 2021
2021
Social influence leads to the formation of diverse local trends
Z Epstein, M Groh, A Dubey, A Pentland
Proceedings of the ACM on Human-Computer Interaction 5 (CSCW2), 1-18, 2021
2021
Through the looking-glass: Visual sensitivity to chirality
T Boger, Z Epstein, M Groh, C Firestone
Journal of Vision 21 (9), 2456-2456, 2021
2021
Human Detection of Deepfakes: A Role for Holistic Face Processing
M Groh, Z Epstein, R Picard, C Firestone
Journal of Vision 21 (9), 2390-2390, 2021
2021
Digital literacy and susceptibility to misinformation
N Sirlin, Z Epstein, AA Arechar, D Rand
PsyArXiv, 2021
2021
Social Media Sharing Reduces Truth Discernment (preprint)
Z Epstein, N Sirlin, AA Arechar, G Pennycook, DG Rand
2021
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Articles 1–20