Ziv Epstein

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 27

Top Topics

Human Detection

Collaborative Learning Environments

Top Venues

Publications

Marianne Aubin Le Quéré, Hope Schroeder, Casey Randazzo, Jie Gao, Ziv Epstein, Simon Tangi Perrault, David Mimno, Louise Barkhuus, Hanlin Li
LLMs as Research Tools: Applications and Evaluations in HCI Data Work. CHI Extended Abstracts (2024)
Amy Smith, Hope Schroeder, Ziv Epstein, Michael Cook, Simon Colton, Andrew Lippman
Trash to Treasure: Using text-to-image models to inform the design of physical artefacts. CoRR (2023)
Ziv Epstein, Aaron Hertzmann, Laura Mariah Herman, Robert Mahari, Morgan R. Frank, Matthew Groh, Hope Schroeder, Amy Smith, Memo Akten, Jessica Fjeld, Hany Farid, Neil Leach, Alex Pentland, Olga Russakovsky
Art and the science of generative AI: A deeper dive. CoRR (2023)
Ziv Epstein, Hause Lin, Gordon Pennycook, David G. Rand
How many others have shared this? Experimentally investigating the effects of social cues on engagement, misinformation, and unpredictability on social media. CoRR (2022)
Ziv Epstein, Hope Schroeder, Dava Newman
When happy accidents spark creativity: Bringing collaborative speculation to life with generative AI. CoRR (2022)
Valdemar Danry, Pat Pataranutaporn, Ziv Epstein, Matthew Groh, Pattie Maes
Deceptive AI Systems That Give Explanations Are Just as Convincing as Honest AI Systems in Human-Machine Decision Making. CoRR (2022)
Ziv Epstein, Nicolò Foppiani, Sophie Hilgard, Sanjana Sharma, Elena L. Glassman, David G. Rand
Do Explanations Increase the Effectiveness of AI-Crowd Generated Fake News Warnings? ICWSM (2022)
Skylar Gordon, Robert Mahari, Manaswi Mishra, Ziv Epstein
Co-creation and ownership for AI radio. CoRR (2022)
Ziv Epstein, Hope Schroeder, Dava Newman
When happy accidents spark creativity: Bringing collaborative speculation to life with generative AI. ICCC (2022)
Skylar Gordon, Robert Mahari, Manaswi Mishra, Ziv Epstein
Co-creation and ownership for AI radio. ICCC (2022)
Ziv Epstein, Hause Lin, Gordon Pennycook, David G. Rand
Quantifying attention via dwell time and engagement in a social media browsing environment. CoRR (2022)
Ziv Epstein, Hause Lin
Yourfeed: Towards open science and interoperable systems for social media. CoRR (2022)
Matthew Groh, Ziv Epstein, Chaz Firestone, Rosalind W. Picard
Comparing Human and Machine Deepfake Detection with Affective and Holistic Processing. CoRR (2021)
Ziv Epstein, Matthew Groh, Abhimanyu Dubey, Alex 'Sandy' Pentland
Social influence leads to the formation of diverse local trends. CoRR (2021)
Ziv Epstein, Nicolò Foppiani, Sophie Hilgard, Sanjana Sharma, Elena L. Glassman, David G. Rand
Do explanations increase the effectiveness of AI-crowd generated fake news warnings? CoRR (2021)
Ziv Epstein, Matthew Groh, Abhimanyu Dubey, Alex Pentland
Social Influence Leads to the Formation of Diverse Local Trends. Proc. ACM Hum. Comput. Interact. 5 (CSCW2) (2021)
Matthew Groh, Ziv Epstein, Nick Obradovich, Manuel Cebrián, Iyad Rahwan
Human detection of machine-manipulated media. Commun. ACM 64 (10) (2021)
Ziv Epstein, Gordon Pennycook, David G. Rand
Will the Crowd Game the Algorithm?: Using Layperson Judgments to Combat Misinformation on Social Media by Downranking Distrusted Sources. CHI (2020)
Ziv Epstein, Océane Boulais, Skylar Gordon, Matthew Groh
Interpolating GANs to Scaffold Autotelic Creativity. CoRR (2020)
Ziv Epstein, Micah Epstein, Christian Almenar, Matthew Groh, Niccolo Pescetelli, Esteban Moro, Nick Obradovich, Manuel Cebrián, Iyad Rahwan
Towards a new social laboratory: An experimental study of search through community participation at Burning Man. CoRR (2019)
Ziv Epstein, Alexander Peysakhovich, David G. Rand
The Good, the Bad, and the Unflinchingly Selfish: Pro-sociality can be Well Predicted Using Payoffs and Three Behavioral Types. ACM Trans. Economics and Comput. 7 (3) (2019)
Matthew Groh, Ziv Epstein, Nick Obradovich, Manuel Cebrián, Iyad Rahwan
Human detection of machine manipulated media. CoRR (2019)
Ziv Epstein, Blakeley H. Payne, Judy Hanwen Shen, Abhimanyu Dubey, Bjarke Felbo, Matthew Groh, Nick Obradovich, Manuel Cebrián, Iyad Rahwan
Closing the AI Knowledge Gap. CoRR (2018)
Ziv Epstein, Blakeley H. Payne, Judy Hanwen Shen, Casey Jisoo Hong, Bjarke Felbo, Abhimanyu Dubey, Matthew Groh, Nick Obradovich, Manuel Cebrián, Iyad Rahwan
TuringBox: An Experimental Platform for the Evaluation of AI Systems. IJCAI (2018)
William V. Padula, Robert D. Gibbons, Peter J. Pronovost, Donald Hedeker, Manish K. Mishra, Mary B. Makic, John F. P. Bridges, Heidi L. Wald, Robert Valuck, Adam J. Ginensky, Anthony Ursitti, Laura Ruth Venable, Ziv Epstein, David O. Meltzer
Using clinical data to predict high-cost performance coding issues associated with pressure ulcers: a multilevel cohort model. J. Am. Medical Informatics Assoc. 24 (e1) (2017)
Satyan L. Devadoss, Ziv Epstein, Dmitriy Smirnov
Visualizing Scissors Congruence. SoCG (2016)
Ziv Epstein, Alexander Peysakhovich, David G. Rand
The Good, the Bad, and the Unflinchingly Selfish: Cooperative Decision-Making can be Predicted with high Accuracy when using only Three Behavioral Types. EC (2016)