Fighting COVID-19 misinformation on social media: Experimental evidence for a scalable accuracy-nudge intervention G Pennycook, J McPhetres, Y Zhang, JG Lu, DG Rand Psychological science 31 (7), 770-780, 2020 | 2204 | 2020 |
Interdependence and the cost of uncoordinated responses to COVID-19 D Holtz, M Zhao, SG Benzell, CY Cao, MA Rahimian, J Yang, J Allen, ... Proceedings of the National Academy of Sciences 117 (33), 19837-19843, 2020 | 205 | 2020 |
Understanding and combatting misinformation across 16 countries on six continents AA Arechar, J Allen, AJ Berinsky, R Cole, Z Epstein, K Garimella, A Gully, ... Nature Human Behaviour 7 (9), 1502-1513, 2023 | 131* | 2023 |
Human favoritism, not AI aversion: People’s perceptions (and bias) toward generative AI, human experts, and human–GAI collaboration in persuasive content generation Y Zhang, R Gosline Judgment and Decision Making 18 (e41), 2023 | 41 | 2023 |
Leveraging Advice-taking and Kernel Density Estimation to Identify A Cluster of Experts and Improve Wisdom of Crowds Y Zhang https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4779145, 2023 | 4* | 2023 |
Sincere or motivated? Partisan bias in advice-taking Y Zhang, DG Rand Judgment and Decision Making 18, e29, 2023 | 4 | 2023 |
Understanding Algorithm Aversion: When and Why Do People Abandon AI After Seeing It Err? Y Zhang, R Gosline MIT Sloan Research Paper, 2022 | 1 | 2022 |
How do successful scholars get their best research ideas? An exploration C Cao, X Cao, M Cashman, M Kumar, A Timoshenko, J Yang, S Yu, ... Marketing Letters 30, 221-232, 2019 | 1 | 2019 |