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Ziv Epstein

Showing results (1-10 of 9) with videos related to

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Proceedings of the National Academy of Sciences of the United States of America|December 31, 2021
Deepfake detection by human crowds, machines, and machine-informed crowdsMatthew Groh, Ziv Epstein, Chaz Firestone, et al.
Iscience|September 13, 2020
Who Gets Credit for AI-Generated Art?Ziv Epstein, Sydney Levine, David G Rand, et al.
Science Advances|March 3, 2023
The social media context interferes with truth discernmentZiv Epstein, Nathaniel Sirlin, Antonio Arechar, et al.
PNAS Nexus|June 16, 2025
Labeling AI-generated media onlineChloe Wittenberg, Ziv Epstein, Gabrielle Péloquin-Skulski, et al.
Nature|March 18, 2021
Shifting attention to accuracy can reduce misinformation onlineGordon Pennycook, Ziv Epstein, Mohsen Mosleh, et al.
Science (New York, N.Y.)|June 15, 2023
Art and the science of generative AIZiv Epstein, Aaron Hertzmann, , et al.
Nature Human Behaviour|July 18, 2023
Author Correction: Understanding and combatting misinformation across 16 countries on six continentsAntonio A Arechar, Jennifer Allen, Adam J Berinsky, et al.
Nature Human Behaviour|June 29, 2023
Understanding and combatting misinformation across 16 countries on six continentsAntonio A Arechar, Jennifer Allen, Adam J Berinsky, et al.
Journal of the American Medical Informatics Association : JAMIA|August 20, 2016
Using clinical data to predict high-cost performance coding issues associated with pressure ulcers: a multilevel cohort modelWilliam V Padula, Robert D Gibbons, Peter J Pronovost, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Proceedings of the National Academy of Sciences of the United States of America|December 31, 2021
Deepfake detection by human crowds, machines, and machine-informed crowdsMatthew Groh, Ziv Epstein, Chaz Firestone, et al.
Iscience|September 13, 2020
Who Gets Credit for AI-Generated Art?Ziv Epstein, Sydney Levine, David G Rand, et al.
Science Advances|March 3, 2023
The social media context interferes with truth discernmentZiv Epstein, Nathaniel Sirlin, Antonio Arechar, et al.
PNAS Nexus|June 16, 2025
Labeling AI-generated media onlineChloe Wittenberg, Ziv Epstein, Gabrielle Péloquin-Skulski, et al.
Nature|March 18, 2021
Shifting attention to accuracy can reduce misinformation onlineGordon Pennycook, Ziv Epstein, Mohsen Mosleh, et al.
Science (New York, N.Y.)|June 15, 2023
Art and the science of generative AIZiv Epstein, Aaron Hertzmann, , et al.
Nature Human Behaviour|July 18, 2023
Author Correction: Understanding and combatting misinformation across 16 countries on six continentsAntonio A Arechar, Jennifer Allen, Adam J Berinsky, et al.
Nature Human Behaviour|June 29, 2023
Understanding and combatting misinformation across 16 countries on six continentsAntonio A Arechar, Jennifer Allen, Adam J Berinsky, et al.
Journal of the American Medical Informatics Association : JAMIA|August 20, 2016
Using clinical data to predict high-cost performance coding issues associated with pressure ulcers: a multilevel cohort modelWilliam V Padula, Robert D Gibbons, Peter J Pronovost, et al.
Pageof 1