Past Member

Ziv Epstein

Former Research Assistant

Contact Information:

Groups

Publication

Labeling AI-Generated Content: Promises, Perils, and Future Directions

Publication

Art and the science of generative AI

Epstein, Hertzmann, et al. "Art and the science of generative AI." Science 380.6650 (2023): 1110-1111.

Publication

The dynamics of attention in digital ecosystems

Epstein, Ziv. The dynamics of attention in digital ecosystems. Diss. Massachusetts Institute of Technology, 2019.

Publication

The social media context interferes with truth discernment

Epstein, Z., Sirlin, N., Arechar, A. A., Pennycook, G., & Rand, D. G. (2023). The Social Media Context Interferes with Truth Discernment. Science Advances.

Publication

Trash to Treasure: Using text-to-image models to inform the design of physical artefacts

Smith, A., Schroeder, H., Epstein, Z., Cook, M., Colton, S., & Lippman, A. (2023). Trash to Treasure: Using text-to-image models to inform the design of physical artefacts.

Publication

Yourfeed: Towards open science and interoperable systems for social media

Epstein Z and Hause L. Yourfeed: Towards open science and interoperable systems for social media. arXiv.

Publication

Deceptive AI systems that give explanations are just as convincing as honest AI systems in human-machine decision making

Danry, Valdemar, Pat Pataranutaporn, Ziv Epstein, Matthew Groh, and Pattie Maes (Under review). “Deceptive AI systems that give explanations are just as convincing as honest AI systems in human-machine decision making.” Extended Abstract. Presented at the International Conference on Computational Social Science (IC2S2) 2022.

Publication

Deepfake detection by human crowds, machines, and machine-informed crowds

Matthew Groh, Ziv Epstein, Chaz Firestone, Rosalind Picard. "Deepfake detection by human crowds, machines, and machine-informed crowds." Proceedings of the National Academy of Sciences Jan 2022, 119 (1) e2110013119; DOI: 10.1073/pnas.2110013119

Publication

Social Influence Leads to the Formation of Diverse Local Trends

Epstein, Ziv, et al. "Social influence leads to the formation of diverse local trends." Proceedings of the ACM on Human-Computer Interaction 5.CSCW2 (2021): 1-18.

Publication

Shifting attention to accuracy can reduce misinformation online

Pennycook, G., Epstein, Z., Mosleh, M. et al. Shifting attention to accuracy can reduce misinformation online. Nature (2021). https://doi.org/10.1038/s41586-021-03344-2

Publication

Who gets credit for AI-generated art?

Epstein, Ziv, et al. "Who gets credit for AI-generated art?." iScience (2020): 101515.

Publication

Will the crowd game the algorithm? Using layperson judgments to combat misinformation on social media by downranking distrusted sources

Epstein, Ziv, Gordon Pennycook, and David Rand. "Will the crowd game the algorithm? Using layperson judgments to combat misinformation on social media by downranking distrusted sources." (2019).

Publication

Visualizing Scissors Congruence

Devadoss, Satyan, Ziv Epstein, and Dmitriy Smirnov. "Visualizing Scissors Congruence." LIPIcs-Leibniz International Proceedings in Informatics. Vol. 51. Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik, 2016.