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Mining online communities to inform strategic messaging: practical methods to identify community-level insights

Author

Listed:
  • Matthew Benigni

    (Carnegie Mellon University)

  • Kenneth Joseph

    (Northeastern University
    Carnegie Mellon University)

  • Kathleen M. Carley

    (Carnegie Mellon University)

Abstract

The ability of OSNs to propagate civil unrest has been powerfully observed through the rise of the ISIS and the ongoing conflict in Crimea. As a result, the ability to understand and in some cases mitigate the effects of user communities promoting civil unrest online has become an important area of research. Although methods to detect large online extremist communities have emerged in literature, the ability to summarize community content in meaningful ways remains an open research question. We introduce novel applications of the following methods: ideological user clustering with bipartite spectral graph partitioning, narrative mining with hash tag co-occurrence graph clustering, and identifying radicalization with directed URL sharing networks. In each case we describe how the method can be applied to social media. We subsequently apply them to online Twitter communities interested in the Syrian revolution and ongoing Crimean conflict.

Suggested Citation

  • Matthew Benigni & Kenneth Joseph & Kathleen M. Carley, 2018. "Mining online communities to inform strategic messaging: practical methods to identify community-level insights," Computational and Mathematical Organization Theory, Springer, vol. 24(2), pages 224-242, June.
    • Handle: RePEc:spr:comaot:v:24:y:2018:i:2:d:10.1007_s10588-017-9255-3
    DOI: 10.1007/s10588-017-9255-3
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    References listed on IDEAS

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    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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    Cited by:

    1. Joshua Uyheng & Thomas Magelinski & Ramon Villa-Cox & Christine Sowa & Kathleen M. Carley, 2020. "Interoperable pipelines for social cyber-security: assessing Twitter information operations during NATO Trident Juncture 2018," Computational and Mathematical Organization Theory, Springer, vol. 26(4), pages 465-483, December.

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