Exploring the dark side of the web: Collection and analysis of US extremist online forums

被引:0
|
作者
Zhou, Yilu [1 ]
Qin, Jialun [1 ]
Lai, Guanpi [1 ]
Reid, Edna [1 ]
Chen, Hsinchun [1 ]
机构
[1] Univ Arizona, Dept Management Informat Syst, Tucson, AZ 85721 USA
来源
INTELLIGENCE AND SECURITY INFORMATICS, PROCEEDINGS | 2006年 / 3975卷
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Contents in extremist online forums are invaluable data sources for extremism research. In this study. we propose a systematic Web mining approach to collecting and monitoring extremist forums. Our proposed approach identifies extremist forums from various resources, addresses practical issues faced by researchers and experts in the extremist forum collection process. Such collection provides a foundation for quantitative forum analysis. Using the proposed approach. we created a collection of 110 U.S. domestic extremist forums containing more than 6,40.000 documents. The collection building results demonstrate the effectiveness and feasibility of our approach. Furthermore, the extremist forum collection we created could serve as an invaluable data source to enable a better understanding of the extremism movements.
引用
收藏
页码:621 / 626
页数:6
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