活动内容
Topic
Big Data Analyses with No Digital Footprints Available– Evidence from Cyber-Telecom Fraud
Speaker
Xiaolei LIU
Professor of Finance and Accounting, Peking University
Abstract
Cyber-telecom fraud has become a more and more serious
problem globally and also in China. In this study, we focus on a special type
of cyber-telecom fraud, where criminals induce innocent people to borrow
through real online finance platform. Since there is no digital footprints
available for the fraud criminals behind the borrowing cases, identifying them
becomes much more difficult. Using a proprietary dataset of online consumer
financing from a large Fintech company in China, we explore whether and how big
data analyses and machine learning techniques can help identify this type of
fraud and reduce customers’ financial losses. We also explore the
characteristic of fraud borrowing and its victims, which calls for people’s
attention on cyber-telecom fraud.