Tracking terrorism news threads by extracting event signatures

Syed Toufeeq Ahmed, Ruchi Bhindwale, Hasan Davulcu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

With the humongous amount of news stories published daily and the range of ways (RSS feeds, blogs etc) to disseminate them, even an expert at tracking new developing stories can feel the information overload. At most times, when a user is reading a news story, she would like to know "what happened before this?" or "how things progressed after this incident?". In this paper, we present a novel real-time yet simple method to detect and track new events related to violence and terrorism in news streams through their life over a time line. We do this by first extracting signature of the event, at microscopic level rather than topic or macroscopic level, and then tracking and linking this event with mentions of same event signature in other incoming news articles. There by forming a thread that links all the news articles that describe this specific event, with no training data used or machine learning algorithms employed. We also present our experimental evaluations conducted with Document Understand Conference (DUC) datasets that validate our observations and methodology.

Original languageEnglish (US)
Title of host publication2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009
Pages182-184
Number of pages3
DOIs
StatePublished - Oct 22 2009
Event2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009 - Dallas, TX, United States
Duration: Jun 8 2009Jun 11 2009

Publication series

Name2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009

Other

Other2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009
CountryUnited States
CityDallas, TX
Period6/8/096/11/09

Keywords

  • Event detection
  • First story detection
  • Named entity recognition
  • News threads extraction

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems
  • Software

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    Ahmed, S. T., Bhindwale, R., & Davulcu, H. (2009). Tracking terrorism news threads by extracting event signatures. In 2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009 (pp. 182-184). [5137296] (2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009). https://doi.org/10.1109/ISI.2009.5137296