Information Systems Frontiers

, Volume 13, Issue 1, pp 45–59 | Cite as

A microblogging-based approach to terrorism informatics: Exploration and chronicling civilian sentiment and response to terrorism events via Twitter

  • Marc Cheong
  • Vincent C. S. Lee


The study of terrorism informatics utilizing the Twitter microblogging service has not been given apt attention in the past few years. Twitter has been identified as both a potential facilitator and also a powerful deterrent to terrorism. Based on observations of Twitter’s role in civilian response during the recent 2009 Jakarta and Mumbai terrorist attacks, we propose a structured framework to harvest civilian sentiment and response on Twitter during terrorism scenarios. Coupled with intelligent data mining, visualization, and filtering methods, this data can be collated into a knowledge base that would be of great utility to decision-makers and the authorities for rapid response and monitoring during such scenarios. Using synthetic experimental data, we demonstrated that the proposed framework has yielded meaningful graphical visualizations of information, to reveal potential response to terrorist threats. The novelty of this study is that microblogging has never been studied in the domain of terrorism informatics. This paper also contributes to the understanding of the capability of conjoint structured data and unstructured content mining in extracting deep knowledge from noisy twitter messages, through our proposed structured framework.


Twitter Microblogging Terrorism informatics Visualization Data mining Sentiment analysis Demographic analysis Civilian response 


  1. Beaumont, C. (2008). Mumbai attacks: Twitter and flickr used to break news. The Daily Telegraph.Google Scholar
  2. Beutler, L. E., Reyes, G., Franco, Z., & Housley, J. (2006). The need for proficient mental health professionals in the study of terrorism. In B. Bongar (Ed.), Psychology of terrorism (pp. 32–52). Melbourne: Oxford University Press.Google Scholar
  3. Bloch, M. & Carter, S. (2009). Twitter chatter during the super bowl. The New York Times. Available from
  4. Boyd, d., Golder, S., & Lotan, G. (2010). Tweet, tweet, retweet: Conversational aspects of retweeting on twitter. In Proc. HICCS-43.Google Scholar
  5. Cashmore, P. (2009a). Mashable: Jakarta bombings—Twitter user first on the scene. Available from
  6. Cashmore, P. (2009b). Mashable: TwitterHIT: Turning Twitter into a junk traffic exchange. Available from
  7. Cheong, M. (2009). ‘What are you Tweeting about?’: A survey of Trending Topics within the Twitter community, Technical Report 2009/251, Clayton School of Information Technology, Monash University.Google Scholar
  8. Cheong, M. & Lee, V. (2009). Integrating web-based intelligence retrieval and decision-making from the Twitter Trends knowledge base. In Proc. CIKM 2009 Co-Located Workshops: SWSM 2009, pp. 1–8.Google Scholar
  9. Cheong, M. & Lee, V. (2010a). A study on detecting patterns in Twitter intra-topic user and message clustering, to appear in ‘Proc. ICPR 2010’.Google Scholar
  10. Cheong, M. & Lee, V. (2010b). Twitmographics: Learning the emergent properties of the Twitter community, to appear in ‘Social Networks Analysis and Mining: foundations and applications’, Vol. (forthcoming), Springer-Verlag.Google Scholar
  11. Clark, J. (2009). 9/11 Pager Data Visualization. Available from
  12. Dearman, D., Kellar, M. & Truong, K. N. (2008). An examination of daily information needs and sharing opportunities. In Proc. CSCW 2008, pp. 679–688.Google Scholar
  13. Entous, A. (2009). U.S. military reviews use of Twitter, other sites. Reuters Inc. Available from
  14. Erickson, I. (2008), The translucence of Twitter. In Proc. Ethnographic Praxis in Industry Conference 2008, pp. 58–72.Google Scholar
  15. Fleishman, J. (2009). Mideast hanging on every text and tweet from Iran, Los Angeles Times. Available from
  16. Goolsby, R. (2009), Lifting elephants: Twitter and blogging in global perspective. In H. Liu (ed.), Social computing and behavioral modeling, Springer-Verlag, pp. 1–7.Google Scholar
  17. Guy, M., Earle, P., Ostrum, C., Gruchalla, K. & Horvath, S. (2010). Integration and dissemination of citizen reported and seismically derived earthquake information via social network technologies. In Advances in Intelligent Data Analysis IX, Springer-Verlag, pp. 42–53.Google Scholar
  18. Honeycutt, C. & Herring, S. (2009). Beyond microblogging: Conversation and collaboration via Twitter. In Proc. 42nd Hawaii International Conference on System Sciences, pp. 1–10.Google Scholar
  19. Huberman, B., Romero, D. & Wu, F. (2008). Social networks that matter: Twitter under the microscope, Technical report, Social Computing Laboratory, HP Labs. Available from
  20. Hughes, A. & Palen, L. (2009), Twitter adoption and use in mass convergence and emergency events. In Proc. 6th International ISCRAM Conference.Google Scholar
  21. Jansen, B. J., Zhang, M., Sobel, K. & Chowdury, A. (2009), Micro-blogging as online word of mouth branding. In Proc. CHI 2009.Google Scholar
  22. Java, A., Song, X., Finin, T. & Tsen, B. (2009). Why we Twitter: An analysis of a microblogging community. In Proc. 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis, Springer-Verlag, pp. 118–138.Google Scholar
  23. Jungherr, A. (2009). The DigiActive Guide to Twitter for Activism. Available from
  24. Kohonen, T. (1984). Self-organization and associative memory. Berlin: Springer.Google Scholar
  25. Krishnamurthy, B., Gill, P. & Arlitt, M. (2008), A few chirps about Twitter. In ‘Proc. WOSN’08’, pp. 19–24.Google Scholar
  26. Makice, K. (2009). Phatics and the design of community. In ‘Proc. CHI 2009’, pp. 3133–3136.Google Scholar
  27. Miller, G. A., Beckwith, R., Fellbaum, C., Gross, D., & Miller, K. (1990). WordNet: An on-line lexical database. International Journal of Lexicography, 3, 235–244.CrossRefGoogle Scholar
  28. Mischaud, E. (2007). Twitter: Expressions of the whole self, Master’s thesis, London School of Economics and Political Science.Google Scholar
  29. Musil, S. (2008). U.S. Army warns of Twittering terrorists. CBS Interactive Inc. Available from
  30. Neria, Y., Suh, E., & Marshall, R. (2004). The professional response to the aftermath of September 11, 2001, in New York City: Lessons learned from treating victims of the World Trade Center attacks. In B. Litz (Ed.), Early intervention for trauma and traumatic loss. New York: Guilford.Google Scholar
  31. O’Reilly, T., & Milstein, S. (2009). The Twitter book. Sebastopol: O’Reilly Media, Inc.Google Scholar
  32. Pang, B., & Lee, L. (2008). Opinion mining and sentiment analysis, vol 2 of Foundation and Trends in Information Retrieval. Boston: Hanover Publishers Inc.Google Scholar
  33. Raymond, M. (2010). How Tweet It Is!: Library Acquires entire Twitter archive: Library of congress blog. Available from
  34. Relax News (2009). Current Twitter trends: Google Wave. A real wife. Available from
  35. Saputra, A. & Leitsinger, M. (2009). Deadly blasts hit Jakarta hotels. Available from
  36. Shamma, D. A., Kennedy, L., & Churchill, E. F. (2009). Tweet the debates: Understanding community annotation of uncollected sources. In Proc. ACM Multimedia 2009.Google Scholar
  37. Starbird, K., Palen, L., Hughes, A., & Vieweg, S. (2010). Chatter on the red: What hazards threat reveals about the social life of microblogged information. In Proc. CSCW 2010.Google Scholar
  38. Terdiman, D. (2009). Photo of Hudson River plane crash downs TwitPic. CNET News. Available from
  39. The Associated Press (2009). Military weighs public outcry on Twitter. Available from
  40. The Sunshine Press (2009). WikiLeaks: 9/11 tragedy pager intercepts. Available from
  41. Tien, J. (2005). Viewing urban disruptions from a decision informatics perspective. Journal of Systems Science and Systems Engineering, 14(3), 257–288.CrossRefGoogle Scholar
  42. Twitter Inc. (2009a). Twitter, Available from
  43. Twitter Inc. (2009b). Twitter API documentation. Available from
  44. Witten, I. H., & Frank, E. (2005). Data mining: Practical machine learning tools and techniques (2nd ed.). San Francisco: Morgan Kaufmann.Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  1. 1.Faculty of ITMonash UniversityMelbourneAustralia

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