Title :
Sockpuppet Detection in Online Discussion Forums
Author :
Zheng, Xueling ; Lai, Yiu Ming ; Chow, K.P. ; Hui, Lucas C K ; Yiu, S.M.
Author_Institution :
Dept. of Comput. Sci., Univ. of Hong Kong, Hong Kong, China
Abstract :
One common trick to cheat people to believe fake products or a high-return low-risk investment scheme in the online discussion groups is to make use of sock puppets (i.e., use different fake identities pretending to be different persons to praise or create the illusion of support for the product). A fundamental problem is how to identify these sock puppets. In this paper, we propose two approaches to identify these puppet pairs that occur in the same forum as well as cross forum. The evaluation based on millions of real posts in two popular discussion forums in Hong Kong shows that the methods are effective.
Keywords :
data mining; interactive programming; investment; social networking (online); Hong Kong; fake products; high-return low-risk investment scheme; online discussion forums; online discussion groups; sockpuppet detection; Accuracy; Communities; Data mining; Discussion forums; Engines; Internet; Social network services;
Conference_Titel :
Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), 2011 Seventh International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4577-1397-2
DOI :
10.1109/IIHMSP.2011.69