10 papers:
KDD-2015-FakhraeiFSG #detection #evolution #multi #network #social- Collective Spammer Detection in Evolving Multi-Relational Social Networks (SF, JRF, MVSS, LG), pp. 1769–1778.
SIGIR-2015-ChenC #detection #web- Opinion Spammer Detection in Web Forum (YRC, HHC), pp. 759–762.
- SIGIR-2014-HuTL #detection #microblog
- Leveraging knowledge across media for spammer detection in microblogging (XH, JT, HL), pp. 547–556.
CIKM-2013-XuZCL #bibliography- Uncovering collusive spammers in Chinese review websites (CX, JZ, KC, CL), pp. 979–988.
- KDD-2013-MukherjeeKLWHCG #behaviour #using
- Spotting opinion spammers using behavioral footprints (AM, AK, BL, JW, MH, MC, RG), pp. 632–640.
- CIKM-2010-LimNJLL #behaviour #bibliography #detection #rating #using
- Detecting product review spammers using rating behaviors (EPL, VAN, NJ, BL, HWL), pp. 939–948.
- SIGIR-2010-LeeCW #machine learning #social
- Uncovering social spammers: social honeypots + machine learning (KL, JC, SW), pp. 435–442.
- CIKM-2009-ChenTJ #classification #detection #framework #social #social media #web
- A co-classification framework for detecting web spam and spammers in social media web sites (FC, PNT, AKJ), pp. 1807–1810.
- SIGIR-2009-BenevenutoRAAG #detection #network #online #social #video
- Detecting spammers and content promoters in online video social networks (FB, TR, VAFA, JMA, MAG), pp. 620–627.
- SIGIR-2009-NollYGMS #folksonomy #ranking
- Telling experts from spammers: expertise ranking in folksonomies (MGN, CmAY, NG, CM, NS), pp. 612–619.
