Lectures & Seminars

Topic: Short-Form Videos and Mental Health: A Knowledge-Guided Neural Topic Model

Speaker: CHAI Yidong, City University of Hong Kong

Time: December 19, 2025, 10:30

Venue: EMS 216

Abstract:

Along with the rise of short-form videos, their mental impacts on viewers have led to widespread consequences, prompting platforms to predict videos' impact on viewers' mental health. Subsequently, they can take intervention measures according to their community guidelines. Nevertheless, applicable predictive methods lack relevance to well-established medical knowledge, which outlines clinically proven external and environmental factors of mental disorders. To account for such medical knowledge, we resort to an emergent methodological discipline, seeded Neural Topic Models (NTMs). However, existing seeded NTMs suffer from the limitations of single-origin topics, unknown topic sources, unclear seed supervision, and suboptimal convergence. To address those challenges, we develop a novel Knowledge-Guided NTM to predict a short-form video's suicidal thought impact on viewers. Extensive empirical analyses using short-form videos such as Douyin prove that our method outperforms state-of-the-art benchmarks. Our method also discovers medically relevant topics from videos that are linked to suicidal thought impact. We contribute to IS with a novel video analytics method that is generalizable to other video classification problems. Practically, our method can help platforms understand videos' suicidal thought impacts, thus moderating videos that violate their community guidelines.

Speaker Profile:

CHAI Yidong is a tenured associate professor at City University of Hong Kong and a doctoral supervisor at Hefei University of Technology. He is also recognized as a National High-Level Young Talent. He earned his Ph.D. from the Department of Management Science and Engineering (Information Systems track) at the School of Economics and Management, Tsinghua University. His research primarily focuses on designing innovative artificial intelligence methods to better support modern scientific management for individuals, organizations, and society. As the first author or corresponding author, he has published research findings in top-tier Management Information Systems journals (UTD/FT) such as MISQ, ISR, and JMIS; journals in the fields of information security, artificial intelligence, and data mining (CCF A) such as IEEE TDSC, IEEE TPAMI, IEEE TKDE, and ACM TOIS; as well as Chinese journals like the Journal of Management Sciences in China. He serves as an associate editor for journals including ACM Transactions on AI Security and Privacy, Journal of Systems Science and Systems Engineering (English Edition), and Industrial Management & Data Systems.