Runshan Fu

New York University (NYU) - Leonard N. Stern School of Business

44 West 4th Street

Suite 9-160

New York, NY NY 10012

United States

  • New York University (NYU) - Leonard N. Stern School of Business

SCHOLARLY PAPERS

10

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Top 9,586

in Total Papers Downloads

10,328

TOTAL CITATIONS
Rank 23,734

SSRN RANKINGS

Top 23,734

in Total Papers Citations

58

Scholarly Papers (10)

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1.

AI and Algorithmic Bias: Source, Detection, Mitigation and Implications

Number of pages: 35 Posted: 16 Oct 2020
Runshan Fu, Yan Huang and Param Vir Singh
New York University (NYU) - Leonard N. Stern School of Business, Carnegie Mellon University - David A. Tepper School of Business and Carnegie Mellon University - David A. Tepper School of Business
Downloads 3,595 (6,944)
Citation 39

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artificial intelligence; machine learning; fair machine learning; algorithms; unintended consequence of algorithms; algorithmic bias; algorithmic transparency

2.

Generative AI and Content Creators: Evidence from Digital Art Platforms

Number of pages: 41 Posted: 20 Dec 2023 Last Revised: 21 May 2024
Hongxian Huang, Runshan Fu and Anindya Ghose
New York University (NYU) - New York University (NYU), Leonard N. Stern School of Business, Department of Marketing, Students, New York University (NYU) - Leonard N. Stern School of Business and New York University (NYU) - Leonard N. Stern School of Business
Downloads 1,784 (21,249)

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Generative AI, Content Creator, Digital Art Platform

3.

'Un'Fair Machine Learning Algorithms

Number of pages: 49 Posted: 04 Jul 2019 Last Revised: 15 Apr 2021
Runshan Fu, Manmohan Aseri, Param Vir Singh and Kannan Srinivasan
New York University (NYU) - Leonard N. Stern School of Business, University of Maryland - Robert H. Smith School of Business, Carnegie Mellon University - David A. Tepper School of Business and Carnegie Mellon University - David A. Tepper School of Business
Downloads 1,721 (22,708)
Citation 9

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algorithmic bias, fair algorithms, machine learning bias, equality of opportunity, algorithms and bias, machine learning, bias

4.

Crowds, Lending, Machine, and Bias

Number of pages: 40 Posted: 21 Jul 2018 Last Revised: 25 Jun 2020
Runshan Fu, Yan Huang and Param Vir Singh
New York University (NYU) - Leonard N. Stern School of Business, Carnegie Mellon University - David A. Tepper School of Business and Carnegie Mellon University - David A. Tepper School of Business
Downloads 1,124 (42,201)
Citation 4

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fintech, peer-to-peer lending, crowdfunding, machine learning, algorithmic bias, machine vs humans

5.

How does algorithmic trust affect pricing decisions? Evidence from the housing market

Number of pages: 51 Posted: 27 Jul 2023 Last Revised: 11 May 2025
Isamar Troncoso, Runshan Fu, Nikhil Malik and Davide Proserpio
Harvard Business School, New York University (NYU) - Leonard N. Stern School of Business, Marshall School of Business, USC and Marshall School of Business - University of Southern California
Downloads 764 (71,832)
Citation 1

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Algorithmic Pricing, AI Trust, Economics of AI, Housing Market, Zillow

6.

Unequal Impact of Zestimate on the Housing Market

Number of pages: 54 Posted: 28 Jun 2023
Runshan Fu, Yan Huang, Nitin Mehta, Param Vir Singh and Kannan Srinivasan
New York University (NYU) - Leonard N. Stern School of Business, Carnegie Mellon University - David A. Tepper School of Business, University of Toronto - Rotman School of Management, Carnegie Mellon University - David A. Tepper School of Business and Carnegie Mellon University - David A. Tepper School of Business
Downloads 533 (113,822)
Citation 1

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Algorithms, Social impact, Economics of machine Learning, Housing markets

7.

Does Human-algorithm Feedback Loop Lead To Error Propagation? Evidence from Zillow’s Zestimate

Downloads 423 (151,393)
Citation 3

Does Human-algorithm Feedback Loop Lead To Error Propagation? Evidence from Zillow’s Zestimate

Number of pages: 43 Posted: 03 May 2022 Last Revised: 15 Jun 2023
Runshan Fu, Ginger Zhe Jin and Meng Liu
New York University (NYU) - Leonard N. Stern School of Business, University of Maryland - Department of Economics and Washington University in St. Louis
Downloads 313 (209,911)

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Algorithm, Human-algorithm feedback loop, Error Propagation, Zillow, Zestimate, Artificial Intelligence

Does Human-Algorithm Feedback Loop Lead to Error Propagation? Evidence from Zillow's Zestimate

NBER Working Paper No. w29880
Number of pages: 44 Posted: 29 Mar 2022 Last Revised: 21 Jun 2023
Runshan Fu, Ginger Zhe Jin and Meng Liu
New York University (NYU) - Leonard N. Stern School of Business, University of Maryland - Department of Economics and Washington University in St. Louis
Downloads 110 (542,850)
Citation 3

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8.

Why does my Zestimate fluctuate? Platform design of Algorithmic Pricing Models

Number of pages: 51 Posted: 12 Apr 2023 Last Revised: 01 Nov 2023
Nikhil Malik and Runshan Fu
Marshall School of Business, USC and New York University (NYU) - Leonard N. Stern School of Business
Downloads 206 (318,846)
Citation 1

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Platforms, Algorithmic Pricing, Bias-Variance tradeoff, Economics of AI, Housing Market

9.

Gambling on Gains: Reversed Loss Aversion in Opaque Product Markets

Number of pages: 51 Posted: 04 Dec 2024
Hongxian Huang, Anindya Ghose and Runshan Fu
New York University (NYU) - New York University (NYU), Leonard N. Stern School of Business, Department of Marketing, Students, New York University (NYU) - Leonard N. Stern School of Business and New York University (NYU) - Leonard N. Stern School of Business
Downloads 97 (589,784)

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opaque product, reference price, online platform, loss aversion, blind box, demand estimation, computer vision, text mining

10.

The Tangled Web of Social Bias: Unraveling Human and Algorithmic Biases on Digital Platforms

Number of pages: 25 Posted: 19 Dec 2024
Runshan Fu
New York University (NYU) - Leonard N. Stern School of Business
Downloads 81 (658,833)

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social bias, digital platforms, algorithmic bias, fairness