Social Media Analytics to Identify and Counter Islamist Extremism: Systematic Detection, Evaluation, and Challenging of Extremist Narratives Online
| Autor: | Dilshod Achilov, Ugur Kursuncu, I. Budak Arpinar |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
021110 strategic
defence & security studies Radicalization National security business.industry Computer science media_common.quotation_subject Internet privacy 0211 other engineering and technologies Media studies Islam 02 engineering and technology Social media analytics Terrorism 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Narrative The Internet Ideology business media_common |
| Zdroj: | CTS |
| DOI: | 10.1109/cts.2016.0113 |
| Popis: | Countering violent extremism remains a pivotal national security priority in the U.S. and globally. The Internet offers key sites through which violent extremists spread and influence others to adopt their views. In particular, Twitter has emerged as a central platform through which violent Islamist extremist groups disseminate radical propaganda to recruit civilians, especially young people vulnerable to radicalization [3]. Most of the propaganda messages contain verses from the Qur’an or Hadith (prophetic narrations), carefully selected and painted in an extremist ideology that demand action against the enemies of Islam (e.g., the West). |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|