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Information control and terrorism: Tracking the Mumbai terrorist attack through twitter

Author

Listed:
  • Onook Oh

    (University at Buffalo)

  • Manish Agrawal

    (University of South Florida)

  • H. Raghav Rao

    (University at Buffalo)

Abstract

This paper analyzes the role of situational information as an antecedent of terrorists’ opportunistic decision making in the volatile and extreme environment of the Mumbai terrorist attack. We especially focus on how Mumbai terrorists monitored and utilized situational information to mount attacks against civilians. Situational information which was broadcast through live media and Twitter contributed to the terrorists’ decision making process and, as a result, increased the effectiveness of hand-held weapons to accomplish their terrorist goal. By utilizing a framework drawn from Situation Awareness (SA) theory, this paper aims to (1) analyze the content of Twitter postings of the Mumbai terror incident, (2) expose the vulnerabilities of Twitter as a participatory emergency reporting system in the terrorism context, and (3), based on the content analysis of Twitter postings, we suggest a conceptual framework for analyzing information control in the context of terrorism.

Suggested Citation

  • Onook Oh & Manish Agrawal & H. Raghav Rao, 2011. "Information control and terrorism: Tracking the Mumbai terrorist attack through twitter," Information Systems Frontiers, Springer, vol. 13(1), pages 33-43, March.
    • Handle: RePEc:spr:infosf:v:13:y:2011:i:1:d:10.1007_s10796-010-9275-8
    DOI: 10.1007/s10796-010-9275-8
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    Cited by:

    1. Jyoti Prakash Singh & Abhinav Kumar & Nripendra P. Rana & Yogesh K. Dwivedi, 2022. "Attention-Based LSTM Network for Rumor Veracity Estimation of Tweets," Information Systems Frontiers, Springer, vol. 24(2), pages 459-474, April.
    2. Li, Lifang & Zhang, Qingpeng & Tian, Jun & Wang, Haolin, 2018. "Characterizing information propagation patterns in emergencies: A case study with Yiliang Earthquake," International Journal of Information Management, Elsevier, vol. 38(1), pages 34-41.
    3. Jengchung Victor Chen & I-Han Lu & David C. Yen & Andree E. Widjaja, 2017. "Factors affecting the performance of internal control task team in high-tech firms," Information Systems Frontiers, Springer, vol. 19(4), pages 787-802, August.
    4. Shabir Hussain & Farrukh Shahzad & Adam Saud, 2021. "Analyzing the State of Digital Information Warfare Between India and Pakistan on Twittersphere," SAGE Open, , vol. 11(3), pages 21582440211, July.
    5. Agarwal, Puneet & Aziz, Ridwan Al & Zhuang, Jun, 2022. "Interplay of rumor propagation and clarification on social media during crisis events - A game-theoretic approach," European Journal of Operational Research, Elsevier, vol. 298(2), pages 714-733.
    6. Jengchung Victor Chen & I-Han Lu & David C. Yen & Andree E. Widjaja, 0. "Factors affecting the performance of internal control task team in high-tech firms," Information Systems Frontiers, Springer, vol. 0, pages 1-16.
    7. Ahmed Aleroud & Aryya Gangopadhyay, 2018. "Multimode co-clustering for analyzing terrorist networks," Information Systems Frontiers, Springer, vol. 20(5), pages 1053-1074, October.
    8. Alta Grobbelaar, 2023. "Media and Terrorism in Africa: Al-Shabaab’s Evolution from Militant Group to Media Mogul," Insight on Africa, , vol. 15(1), pages 7-22, January.
    9. Fang Liu & Dongming Xu, 2018. "Social Roles and Consequences in Using Social Media in Disasters: a Structurational Perspective," Information Systems Frontiers, Springer, vol. 20(4), pages 693-711, August.
    10. Anat Hovav, 2014. "Using scenarios to understand the frontiers of IS: Fifteen years later (a postscript)," Information Systems Frontiers, Springer, vol. 16(3), pages 347-352, July.
    11. Chulhwan Chris Bang, 2015. "Information systems frontiers: Keyword analysis and classification," Information Systems Frontiers, Springer, vol. 17(1), pages 217-237, February.
    12. M. Elshendy & A. Fronzetti Colladon & E. Battistoni & P. A. Gloor, 2021. "Using four different online media sources to forecast the crude oil price," Papers 2105.09154, arXiv.org.
    13. Ahmed Aleroud & Aryya Gangopadhyay, 0. "Multimode co-clustering for analyzing terrorist networks," Information Systems Frontiers, Springer, vol. 0, pages 1-22.
    14. Zhan, Yuanzhu & Xiong, Yu & Xing, Xinjie, 2023. "A conceptual model and case study of blockchain-enabled social media platform," Technovation, Elsevier, vol. 119(C).
    15. Hsinchun Chen & Yilu Zhou & Edna F. Reid & Catherine A. Larson, 2011. "Introduction to special issue on terrorism informatics," Information Systems Frontiers, Springer, vol. 13(1), pages 1-3, March.
    16. Paras Bhatt & Naga Vemprala & Rohit Valecha & Govind Hariharan & H. Raghav Rao, 2023. "User Privacy, Surveillance and Public Health during COVID-19 – An Examination of Twitterverse," Information Systems Frontiers, Springer, vol. 25(5), pages 1667-1682, October.
    17. Bairong Wang & Jun Zhuang, 2018. "Rumor response, debunking response, and decision makings of misinformed Twitter users during disasters," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 93(3), pages 1145-1162, September.
    18. Yogesh K. Dwivedi & Gerald Kelly & Marijn Janssen & Nripendra P. Rana & Emma L. Slade & Marc Clement, 2018. "Social Media: The Good, the Bad, and the Ugly," Information Systems Frontiers, Springer, vol. 20(3), pages 419-423, June.
    19. Fry, John & Binner, Jane M., 2016. "Elementary modelling and behavioural analysis for emergency evacuations using social media," European Journal of Operational Research, Elsevier, vol. 249(3), pages 1014-1023.
    20. Martínez-Rojas, María & Pardo-Ferreira, María del Carmen & Rubio-Romero, Juan Carlos, 2018. "Twitter as a tool for the management and analysis of emergency situations: A systematic literature review," International Journal of Information Management, Elsevier, vol. 43(C), pages 196-208.
    21. Yanxin Wang & Jian Li & Xi Zhao & Gengzhong Feng & Xin (Robert) Luo, 2020. "Using Mobile Phone Data for Emergency Management: a Systematic Literature Review," Information Systems Frontiers, Springer, vol. 22(6), pages 1539-1559, December.

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