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CIKM
2009
Springer
13 years 11 months ago
A co-classification framework for detecting web spam and spammers in social media web sites
Social media are becoming increasingly popular and have attracted considerable attention from spammers. Using a sample of more than ninety thousand known spam Web sites, we found ...
Feilong Chen, Pang-Ning Tan, Anil K. Jain
SBP
2012
Springer
12 years 3 months ago
Lessons Learned in Using Social Media for Disaster Relief - ASU Crisis Response Game
In disasters such as the earthquake in Haiti and the tsunami in Japan, people used social media to ask for help or report injuries. The popularity, efficiency, and ease of use of s...
Mohammad Ali Abbasi, Shamanth Kumar, Jose Augusto ...
KDD
2012
ACM
187views Data Mining» more  KDD 2012»
11 years 10 months ago
Unsupervised feature selection for linked social media data
The prevalent use of social media produces mountains of unlabeled, high-dimensional data. Feature selection has been shown effective in dealing with high-dimensional data for e...
Jiliang Tang, Huan Liu
IUI
2011
ACM
12 years 10 months ago
Groups without tears: mining social topologies from email
As people accumulate hundreds of “friends” in social media, a flat list of connections becomes unmanageable. Interfaces agnostic to social structure hinder the nuanced sharin...
Diana MacLean, Sudheendra Hangal, Seng Keat Teh, M...
NOSSDAV
2010
Springer
14 years 12 days ago
Second life: a social network of humans and bots
Second Life (SL) is a virtual world where people interact and socialize through virtual avatars. Avatars behave similarly to their human counterparts in real life and naturally de...
Matteo Varvello, Geoffrey M. Voelker