Lin Hu

About Me

I am a Senior Lecturer in the Research School of Finance, Actuarial Studies and Statistics at the Australian National University. Before joining ANU, I served as a Postdoctoral Research Fellow at Washington University in St Louis. I obtained my PhD in Economics from Arizona State University.

My research agenda studies the economics of information and the consequences of information technologies for markets, organizations, and democratic institutions. Current projects examine artificial intelligence, digital platforms, political economy, financial technology, crowdfunding, and financial markets, with attention to how information is produced, filtered, aggregated, and acted upon.

Research

Refereed Journal Articles

• Competition and Distortion: A Theory of Information Bias on the Peer-to-Peer Lending Market [Journal] with Zhenhua Wu, Zhijie Lin, and Yong Tan · Information Systems Research, 2021.
• Electoral Accountability and Selection with Personalized Information Aggregation [arXiv] [Journal] with Anqi Li · Games and Economic Behavior, 2023.
• The Politics of Personalized News Aggregation [arXiv] [Journal] with Anqi Li and Ilya Segal · Journal of Political Economy Microeconomics, 2023.

Working Papers

• Rationally Inattentive Echo Chambers [arXiv] [EC'23] with Anqi Li and Xu Tan · R&R, JEEA; conference publication at EC '23.
• Investor Attention and Crowdfunding Performance [SSRN] with Kun Li, Zhenhua Wu, and Bin Gu · R&R, ISR.
• Misspecified Model Estimation and Its Impact on Predictions [arXiv] with Junnan He, Matthew Kovach, and Anqi Li · R&R, AER.
• The Great American Job Shift: Global High-Tech Hiring under the "Hire American" Executive Order [SSRN] with Kun Li and Bin Gu · R&R, ISR.
• Knowing Me, Telling Me: Information Design in Gen-AI Enabled Communication in Digital Marketing [SSRN] with Xueyan Yin and Juan Feng · R&R, ISR.
• Does AI Make People More Open or Reinforce Bias? AI Recommendation and Confirmation Bias [SSRN] with Xueyan Yin, Zhenhua Wu, and Juan Feng · R&R, ISR.
• Balancing AI and Human Expertise: The Role of AI Watermarking and Detection [SSRN] with Zhenhua Wu and Pei-yu Chen · R&R, MS.
• When Machines Move Markets: The Systemic Risks of Generative AI in Financial Markets [SSRN] with Xueyan Yin, Kun Li, and Pei-yu Chen · R&R, MISQ.
• Beyond the Pitch: How Entrepreneur Motivations Drive Innovation in Crowdfunding. with Zhenhua Wu and Bin Gu · R&R, POM.
• Financial Media as a Money Doctor: Evidence from Refinancing Decisions [SSRN] with Kun Li, Phong T. H. Ngo, and Denis Sosyura.
• The Rise of Distant Non-Bank Lending: Evidence from the Mortgage Market [SSRN] with Kun Li and Phong T. H. Ngo.
• AI-Mediated Information Design: Theoretical Insights and Empirical Evidence from the U.S. Presidential Election [SSRN] with Jiding Zhang, Katsiaryna Siamionava, Shuang Gao, and Pei-yu Chen.
• The Changing Face of News: How Mobile News Apps Are Redefining Local Journalism. with Kun Li and Bin Gu.
• When Machines Disagree: Evidence from Large Language Models. with Si Cheng and Kun Li.

Teaching

• FINM3015 Foundations of FinTech, ANU
• FINM3045/6045 Asian Capital Markets, ANU
• FINM8100 Applied Projects in Finance, ANU
• Seminars in Political Economy, WUSTL
• Microeconomic Principles, ASU