Ziv Epstein

Orcid: 0000-0002-5831-5756

According to our database1, Ziv Epstein authored at least 23 papers between 2016 and 2024.

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Bibliography

2024
Deceptive AI systems that give explanations are more convincing than honest AI systems and can amplify belief in misinformation.
CoRR, 2024

LLMs as Research Tools: Applications and Evaluations in HCI Data Work.
Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

2023
Art and the science of generative AI: A deeper dive.
CoRR, 2023

Trash to Treasure: Using text-to-image models to inform the design of physical artefacts.
CoRR, 2023

2022
Deceptive AI Systems That Give Explanations Are Just as Convincing as Honest AI Systems in Human-Machine Decision Making.
CoRR, 2022

Quantifying attention via dwell time and engagement in a social media browsing environment.
CoRR, 2022

How many others have shared this? Experimentally investigating the effects of social cues on engagement, misinformation, and unpredictability on social media.
CoRR, 2022

Yourfeed: Towards open science and interoperable systems for social media.
CoRR, 2022

Do Explanations Increase the Effectiveness of AI-Crowd Generated Fake News Warnings?
Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

Co-creation and ownership for AI radio.
Proceedings of the 13th International Conference on Computational Creativity, Bozen-Bolzano, Italy, June 27, 2022

When happy accidents spark creativity: Bringing collaborative speculation to life with generative AI.
Proceedings of the 13th International Conference on Computational Creativity, Bozen-Bolzano, Italy, June 27, 2022

2021
Social Influence Leads to the Formation of Diverse Local Trends.
Proc. ACM Hum. Comput. Interact., 2021

Comparing Human and Machine Deepfake Detection with Affective and Holistic Processing.
CoRR, 2021

Human detection of machine-manipulated media.
Commun. ACM, 2021

2020
Interpolating GANs to Scaffold Autotelic Creativity.
CoRR, 2020

Will the Crowd Game the Algorithm?: Using Layperson Judgments to Combat Misinformation on Social Media by Downranking Distrusted Sources.
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

2019
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., 2019

Towards a new social laboratory: An experimental study of search through community participation at Burning Man.
CoRR, 2019

2018
Closing the AI Knowledge Gap.
CoRR, 2018

TuringBox: An Experimental Platform for the Evaluation of AI Systems.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
Using clinical data to predict high-cost performance coding issues associated with pressure ulcers: a multilevel cohort model.
J. Am. Medical Informatics Assoc., 2017

2016
The Good, the Bad, and the Unflinchingly Selfish: Cooperative Decision-Making can be Predicted with high Accuracy when using only Three Behavioral Types.
Proceedings of the 2016 ACM Conference on Economics and Computation, 2016

Visualizing Scissors Congruence.
Proceedings of the 32nd International Symposium on Computational Geometry, 2016


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