International Journal of Human-Computer Studies Volume 65, Issue 1 , January 2007, Pages 71-84
http://digbig.com/4qmcf
Jialun Qina, , , , Yilu Zhoub, , Edna Reidc, , Guanpi Laid, and Hsinchun Chenc
"Abstract
Terrorists and extremists are increasingly utilizing Internet technology to enhance their ability to influence the outside world. Due to the lack of multi-lingual and multimedia terrorist/extremist collections and advanced analytical methodologies, our empirical understanding of their Internet usage is still very limited. To address this research gap, we explore an integrated approach for identifying and collecting terrorist/extremist Web contents. We also propose a Dark Web Attribute System (DWAS) to enable quantitative Dark Web content analysis from three perspectives: technical sophistication, content richness, and Web interactivity."
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