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Social cybersecurity: an emerging science

Author

Listed:
  • Kathleen M. Carley

    (Carnegie Mellon University)

Abstract

With the rise of online platforms where individuals could gather and spread information came the rise of online cybercrimes aimed at taking advantage of not just single individuals but collectives. In response, researchers and practitioners began trying to understand this digital playground and the way in which individuals who were socially and digitally embedded could be manipulated. What is emerging is a new scientific and engineering discipline—social cybersecurity. This paper defines this emerging area, provides case examples of the research issues and types of tools needed, and lays out a program of research in this area.

Suggested Citation

  • Kathleen M. Carley, 2020. "Social cybersecurity: an emerging science," Computational and Mathematical Organization Theory, Springer, vol. 26(4), pages 365-381, December.
    • Handle: RePEc:spr:comaot:v:26:y:2020:i:4:d:10.1007_s10588-020-09322-9
    DOI: 10.1007/s10588-020-09322-9
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    References listed on IDEAS

    as
    1. Matthew C Benigni & Kenneth Joseph & Kathleen M Carley, 2017. "Online extremism and the communities that sustain it: Detecting the ISIS supporting community on Twitter," PLOS ONE, Public Library of Science, vol. 12(12), pages 1-23, December.
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    Citations

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    Cited by:

    1. Joshua Uyheng & Lynnette Hui Xian Ng & Kathleen M. Carley, 2021. "Active, aggressive, but to little avail: characterizing bot activity during the 2020 Singaporean elections," Computational and Mathematical Organization Theory, Springer, vol. 27(3), pages 324-342, September.
    2. Lynnette Hui Xian Ng & Iain J. Cruickshank & Kathleen M. Carley, 2023. "Coordinating Narratives Framework for cross-platform analysis in the 2021 US Capitol riots," Computational and Mathematical Organization Theory, Springer, vol. 29(3), pages 470-486, September.
    3. Elie Alhajjar & Taylor Bradley, 2022. "Survival analysis for insider threat," Computational and Mathematical Organization Theory, Springer, vol. 28(4), pages 335-351, December.
    4. Lynnette Hui Xian Ng & Kathleen M. Carley, 2021. "“The coronavirus is a bioweapon”: classifying coronavirus stories on fact-checking sites," Computational and Mathematical Organization Theory, Springer, vol. 27(2), pages 179-194, June.

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