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Dark Web: Exploring and Mining the Dark Side of the Web

Lecture notes in computer sciencePublished 1 January 2012
Hsinchun Chen
Citations14
SJR quartileQ2
SJR score0.35
SNIP0.55

TL;DR

This talk will review the emerging research in Terrorism Informatics based on a web mining perspective, including: deep/dark web spidering, web metrics analysis, dark network analysis, web-based authorship analysis, and sentiment and affect analysis for terrorism tracking.

Abstract

This talk will review the emerging research in Terrorism Informatics based on a web mining perspective. Recent progress in the internationally renowned Dark Web project will be reviewed, including: deep/dark web spidering (web sites, forums, Youtube, virtual worlds), web metrics analysis, dark network analysis, web-based authorship analysis, and sentiment and affect analysis for terrorism tracking. In collaboration with selected international terrorism research centers and intelligence agencies, the Dark Web project has generated one of the largest databases in the world about extremist/terrorist-generated Internet contents (web sites, forums, blogs, and multimedia documents). Dark Web research has received significant international press coverage, including: Associated Press, USA Today, The Economist, NSF Press, Washington Post, Fox News, BBC, PBS, Business Week, Discover magazine, WIRED magazine, Government Computing Week, Second German TV (ZDF), Toronto Star, and Arizona Daily Star, among others. For more Dark Web project information, please see: .

Keywords

Computer ScienceSocial Sciences