Advertisement

Dark Web pp 3-18 | Cite as

Dark Web Research Overview

  • Hsinchun ChenEmail author
Chapter
Part of the Integrated Series in Information Systems book series (ISIS, volume 30)

Abstract

The AI Lab Dark Web project is a long-term scientific research program that aims to study and understand the international terrorism (jihadist) phenomena via a computational, data-centric approach. We aim to collect “all” web content generated by international terrorist groups, including web sites, forums, chat rooms, blogs, social networking sites, videos, virtual world, etc. We have developed various multilingual data mining, text mining, and web mining techniques to perform link analysis, content analysis, web metrics (technical sophistication) analysis, sentiment analysis, authorship analysis, and video analysis in our research. The approaches and methods developed in this project contribute to advancing the field of Intelligence and Security Informatics (ISI). Such advances will help related stakeholders to perform terrorism research and facilitate international security and peace. It is our belief that we (the USA and allies) are facing the dire danger of losing the “The War on Terror” in cyberspace (especially when many young people are being recruited, incited, infected, and radicalized on the web), and we would like to help in our small (computational) way. More details and updated information can be found at the project web site: http://ai.eller.arizona.edu/research/terror/.

Keywords

Social Network Analysis Social Networking Site Sentiment Analysis Homeland Security Computer Mediate Communication 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Reference

  1. G. Weimann, “Terror on the Internet: The New Arena, the New Challenges,” US Institute of Peace Press, Washington, DC, 2006.Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2012

Authors and Affiliations

  1. 1.Department of Management Information SystemsUniversity of ArizonaTusconUSA

Personalised recommendations