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2020 – today
- 2024
[c8]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: 479:1-479:7- [i16]Valdemar Danry, Pat Pataranutaporn, Matthew Groh, Ziv Epstein, Pattie Maes:
Deceptive AI systems that give explanations are more convincing than honest AI systems and can amplify belief in misinformation. CoRR abs/2408.00024 (2024) - 2023
- [i15]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 abs/2302.00561 (2023) - [i14]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 abs/2306.04141 (2023) - 2022
- [c7]Skylar Gordon, Robert Mahari, Manaswi Mishra, Ziv Epstein:
Co-creation and ownership for AI radio. ICCC 2022: 241-245 - [c6]Ziv Epstein, Hope Schroeder, Dava Newman:
When happy accidents spark creativity: Bringing collaborative speculation to life with generative AI. ICCC 2022: 334-338 - [c5]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: 183-193 - [i13]Skylar Gordon, Robert Mahari, Manaswi Mishra, Ziv Epstein:
Co-creation and ownership for AI radio. CoRR abs/2206.00485 (2022) - [i12]Ziv Epstein, Hope Schroeder, Dava Newman:
When happy accidents spark creativity: Bringing collaborative speculation to life with generative AI. CoRR abs/2206.00533 (2022) - [i11]Ziv Epstein, Hause Lin:
Yourfeed: Towards open science and interoperable systems for social media. CoRR abs/2207.07478 (2022) - [i10]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 abs/2207.07562 (2022) - [i9]Ziv Epstein, Hause Lin, Gordon Pennycook, David G. Rand:
Quantifying attention via dwell time and engagement in a social media browsing environment. CoRR abs/2209.10464 (2022) - [i8]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 abs/2210.08960 (2022) - 2021
- [j4]Matthew Groh, Ziv Epstein, Nick Obradovich, Manuel Cebrián, Iyad Rahwan:
Human detection of machine-manipulated media. Commun. ACM 64(10): 40-47 (2021) - [j3]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): 409:1-409:18 (2021) - [i7]Matthew Groh, Ziv Epstein, Chaz Firestone, Rosalind W. Picard:
Comparing Human and Machine Deepfake Detection with Affective and Holistic Processing. CoRR abs/2105.06496 (2021) - [i6]Ziv Epstein, Matthew Groh, Abhimanyu Dubey, Alex 'Sandy' Pentland:
Social influence leads to the formation of diverse local trends. CoRR abs/2108.07437 (2021) - [i5]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 abs/2112.03450 (2021) - 2020
- [c4]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: 1-11 - [i4]Ziv Epstein, Océane Boulais, Skylar Gordon, Matthew Groh:
Interpolating GANs to Scaffold Autotelic Creativity. CoRR abs/2007.11119 (2020)
2010 – 2019
- 2019
- [j2]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): 13:1-13:14 (2019) - [i3]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 abs/1903.04125 (2019) - [i2]Matthew Groh, Ziv Epstein, Nick Obradovich, Manuel Cebrián, Iyad Rahwan:
Human detection of machine manipulated media. CoRR abs/1907.05276 (2019) - 2018
- [c3]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: 5826-5828 - [i1]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 abs/1803.07233 (2018) - 2017
- [j1]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): e95-e102 (2017) - 2016
- [c2]Satyan L. Devadoss, Ziv Epstein, Dmitriy Smirnov:
Visualizing Scissors Congruence. SoCG 2016: 66:1-66:3 - [c1]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: 547-559
Coauthor Index
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