Yunhao Zhang

Massachusetts Institute of Technology (MIT) - Sloan School of Management

100 Main Street

E62-416

Cambridge, MA 02142

United States

http://https://mitsloan.mit.edu/phd/students/yunhao-zhang

  • Massachusetts Institute of Technology (MIT) - Sloan School of Management

SCHOLARLY PAPERS

4

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492

SSRN CITATIONS

1

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Scholarly Papers (4)

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1.

Sincere or Motivated? Partisan Bias in Advice-taking

Number of pages: 73 Posted: 06 Dec 2021 Last Revised: 04 Apr 2023
Yunhao Zhang and David G. Rand
Massachusetts Institute of Technology (MIT) - Sloan School of Management and Massachusetts Institute of Technology (MIT)
Downloads 231 (211,964)
Citation 1

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Partisan Bias, Political Motivated Reasoning, Information Friction, Experimental Economics

2.

The Revealed Expertise Algorithm: Leveraging Advice-taking to Identify Experts and Improve Wisdom of Crowds

Number of pages: 69 Posted: 29 Jan 2021 Last Revised: 13 Sep 2022
Yunhao Zhang
Massachusetts Institute of Technology (MIT) - Sloan School of Management
Downloads 170 (279,980)

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Judgment Aggregation, Wisdom of Crowds, Uncertainty, Belief-update

3.

Understanding Algorithm Aversion: When Do People Abandon AI After Seeing It Err?

MIT Sloan Research Paper No. 6846-22
Number of pages: 54 Posted: 23 Dec 2022 Last Revised: 17 May 2023
Yunhao Zhang and Renee Gosline
Massachusetts Institute of Technology (MIT) - Sloan School of Management and Massachusetts Institute of Technology (MIT) - Sloan School of Management
Downloads 60 (563,265)

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Consumer Behavior, Artificial Intelligence, Algorithm Aversion and Appreciation, Belief-updating, Forecasting

4.

People's Perceptions (and Bias) Toward Creative Content Generated by AI (ChatGPT-4), Human Experts, and Human-AI Collaboration

Number of pages: 65 Posted: 25 May 2023 Last Revised: 04 Jun 2023
Yunhao Zhang and Renee Gosline
Massachusetts Institute of Technology (MIT) - Sloan School of Management and Massachusetts Institute of Technology (MIT) - Sloan School of Management
Downloads 31 (743,043)

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Large Language Models, Artificial Intelligence, Consumer Perception, Consumer Bias