Detect rumors using time series of social context information on microblogging websites

• Main Authors: MA, Jing, GAO, Wei, WEI, Zhongyu, LU, Yueming, WONG, Kam-Fai
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2015
• Subjects: Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/4572; https://ink.library.smu.edu.sg/context/sis_research/article/5575/viewcontent/p1751_ma.pdf
• Institution: Singapore Management University

Automatically identifying rumors from online social media especially microblogging websites is an important research issue. Most of existing work for rumor detection focuses on modeling features related to microblog contents, users and propagation patterns, but ignore the importance of the variation...