Additional Resources
Top Commentators:
- Elliott Abrams
- Fouad Ajami
- Shlomo Avineri
- Benny Avni
- Alan Dershowitz
- Jackson Diehl
- Dore Gold
- Daniel Gordis
- Tom Gross
- Jonathan Halevy
- David Ignatius
- Pinchas Inbari
- Jeff Jacoby
- Efraim Karsh
- Mordechai Kedar
- Charles Krauthammer
- Emily Landau
- David Makovsky
- Aaron David Miller
- Benny Morris
- Jacques Neriah
- Marty Peretz
- Melanie Phillips
- Daniel Pipes
- Harold Rhode
- Gary Rosenblatt
- Jennifer Rubin
- David Schenkar
- Shimon Shapira
- Jonathan Spyer
- Gerald Steinberg
- Bret Stephens
- Amir Taheri
- Josh Teitelbaum
- Khaled Abu Toameh
- Jonathan Tobin
- Michael Totten
- Michael Young
- Mort Zuckerman
Think Tanks:
- American Enterprise Institute
- Brookings Institution
- Center for Security Policy
- Council on Foreign Relations
- Heritage Foundation
- Hudson Institute
- Institute for Contemporary Affairs
- Institute for Counter-Terrorism
- Institute for Global Jewish Affairs
- Institute for National Security Studies
- Institute for Science and Intl. Security
- Intelligence and Terrorism Information Center
- Investigative Project
- Jerusalem Center for Public Affairs
- RAND Corporation
- Saban Center for Middle East Policy
- Shalem Center
- Washington Institute for Near East Policy
Media:
- CAMERA
- Daily Alert
- Jewish Political Studies Review
- MEMRI
- NGO Monitor
- Palestinian Media Watch
- The Israel Project
- YouTube
Government:
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(Ha'aretz) Yuval Dror- Researchers at Ben-Gurion University of the Negev reported Sunday that they have developed a system that can identify 95% of Internet pages with terrorism-related content. According to Dr. Mark Last of the Department of Systems Information Engineering, the system uses pattern recognition to locate users affiliated with terror organizations and new sites set up by terrorist elements. The development has great importance in view of the considerable use of the Internet in coordinating and orchestrating terror acts.2004-08-17 00:00:00Full Article
Web Scanner Can Detect Terror Content
(Ha'aretz) Yuval Dror- Researchers at Ben-Gurion University of the Negev reported Sunday that they have developed a system that can identify 95% of Internet pages with terrorism-related content. According to Dr. Mark Last of the Department of Systems Information Engineering, the system uses pattern recognition to locate users affiliated with terror organizations and new sites set up by terrorist elements. The development has great importance in view of the considerable use of the Internet in coordinating and orchestrating terror acts.2004-08-17 00:00:00Full Article
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