On November 29, 2024, at the invitation of the School of Management, Assistant Professor Zhe Wang from the Department of Information Systems at City University of Hong Kong delivered an online academic lecture titled "How Review Display Policies Affect Platforms' Incentives to Combat Fake Reviews: A Game-Theoretic Perspective" to faculty and students of the School of Management. This lecture marked the 30th session of the 2024 Overseas Lecture Series hosted by the School of Management, and was chaired by Associate Professor Peng Wang.

In his lecture, Assistant Professor Wang Zhe focused on the issue of fake reviews in online review systems, particularly governance strategies in the e-commerce sector. He explored the design of relevant incentive mechanisms and policies, while also evaluating the potential of artificial intelligence in identifying and reducing fake reviews, as well as its impact on consumer behavior and platform reputation. Furthermore, Assistant Professor Wang emphasized the necessity of adjusting platform policies based on product characteristics and market competition conditions, and the potential impacts of these strategies on consumer welfare and social welfare.

During the interactive Q&A session, participating faculty and students engaged in lively discussions with Assistant Professor Wang Zhe on issues such as consumer behavior characterization, game order, empirical research design, and AIGC modeling. This academic lecture provided a platform for faculty and students of the School of Management to share academic insights and exchange research experiences. Through this lecture, attendees gained an understanding of governance strategies for fake reviews, as well as the internal mechanisms and design of review display policies.

[Lecturer's Biography]

Zhe Wang is an Assistant Professor in the Department of Information Systems at City University of Hong Kong, and holds a PhD from the School of Economics and Management at Tsinghua University. His main research interests focus on the economics of information systems, particularly in areas such as equitable regulation, digital healthcare, and digital platforms. His research primarily employs analytical modeling and machine learning methods, and his findings have been published in journals including MIS Quarterly.

[Written by Guo Siqi; Reviewed by Shao Jing & Zhang Shuang]