From footprint to evidence: An exploratory study of mining social data for credit scoring

• Main Authors: GUO, Guangming, ZHU, Feida, CHEN, Enhong, LIU, Qi, WU, Le, GUAN, Chu
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2016
• Subjects: Consumer finance; Features; P2P lending; Personal credit scoring; Social data; User profiling; Databases and Information Systems; Digital Communications and Networking; Social Media
• Online Access: https://ink.library.smu.edu.sg/sis_research/3455; https://ink.library.smu.edu.sg/context/sis_research/article/4456/viewcontent/FootprintEvidenceMiningSocialData_2016.pdf
• Institution: Singapore Management University

With the booming popularity of online social networks like Twitter and Weibo, online user footprints are accumulating rapidly on the social web. Simultaneously, the question of how to leverage the large-scale user-generated social media data for personal credit scoring comes into the sight of both r...