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Characterizing Bot Networks on Twitter: An Empirical Analysis of Contentious Issues in the Asia-Pacific

  • Joshua UyhengEmail author
  • Kathleen M. Carley
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11549)

Abstract

This paper empirically analyzes bot activity in contentious Twitter conversations using case studies from the Asia-Pacific. Bot activity is measured and characterized using a series of interoperable tools leveraging dynamic network analysis and machine learning. We apply this novel and flexible methodological framework to derive insights about information operations in three contexts: the senatorial elections in the Philippines, the presidential elections in Indonesia, and the relocation of a military base in Okinawa. Varying levels of bot prevalence and influence are identified across case studies. The presented findings demonstrate principles of social cyber-security in concrete settings and highlight conceptual and methodological issues to inform further development of analytic pipelines in studying online information operations.

Keywords

Information operations Social cyber-security Asia-Pacific 

Notes

Acknowledgments

This work is supported in part by the Office of Naval Research under the Multidisciplinary University Research Initiatives (MURI) Program award number N000141712675 Near Real Time Assessment of Emergent Complex Systems of Confederates, BotHunter award number N000141812108, award number N00014182106 Group Polarization in Social Media: An Effective Network Approach to Communicative Reach and Disinformation, and award number N000141712605 Developing Novel Socio-computational Methodologies to Analyze Multimedia-based Cyber Propaganda Campaigns. This work is also supported by the center for Computational Analysis of Social and Organizational Systems (CASOS). The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the ONR or the U.S. government.

References

  1. 1.
    Kahne, J., Bowyer, B.: The political significance of social media activity and social networks. Polit. Commun. 35, 470–493 (2018).  https://doi.org/10.1080/10584609.2018.1426662CrossRefGoogle Scholar
  2. 2.
    McGarty, C., Thomas, E.F., Lala, G., Smith, L.G.E., Bliuc, A.-M.: New technologies, new identities, and the growth of mass opposition in the arab spring. Polit. Psychol. 35, 725–740 (2014).  https://doi.org/10.1111/pops.12060CrossRefGoogle Scholar
  3. 3.
    Bandeli, K.K., Agarwal, N.: Analyzing the role of media orchestration in conducting disinformation campaigns on blogs. Comput. Math. Organ. Theory (2018).  https://doi.org/10.1007/s10588-018-09288-9
  4. 4.
    Carley, K.M., Cervone, G., Agarwal, N., Liu, H.: Social cyber-security. In: Thomson, R., Dancy, C., Hyder, A., Bisgin, H. (eds.) SBP-BRiMS 2018. LNCS, vol. 10899, pp. 389–394. Springer, Cham (2018).  https://doi.org/10.1007/978-3-319-93372-6_42CrossRefGoogle Scholar
  5. 5.
    Benigni, M., Joseph, K., Carley, K.M.: Mining online communities to inform strategic messaging: practical methods to identify community-level insights. Comput. Math. Organ. Theory 24, 224–242 (2018).  https://doi.org/10.1007/s10588-017-9255-3CrossRefGoogle Scholar
  6. 6.
    Beskow, D.M., Carley, K.M.: Its all in a name: detecting and labeling bots by their name. Comput. Math. Organ. Theory (2018).  https://doi.org/10.1007/s10588-018-09290-1CrossRefGoogle Scholar
  7. 7.
    Beskow, D.M., Carley, K.M.: Social cybersecurity: an emerging national security requirement. Mil. Rev. 99(2), 117 (2019)Google Scholar
  8. 8.
    Bail, C.A., et al.: Exposure to opposing views on social media can increase political polarization. Proc. Natl. Acad. Sci. 115, 9216–9221 (2018).  https://doi.org/10.1073/pnas.1804840115CrossRefGoogle Scholar
  9. 9.
    Tucker, J.A., et al.: Social media, political polarization, and political disinformation: a review of the scientific literature. Hewlett Foundation (2018)Google Scholar
  10. 10.
    Ong, J.C., Cabanes, J.V.A.: Architects of networked disinformation: behind the scenes of troll accounts and fake news production in the Philippines. Newton Tech4Dev Network (2018)Google Scholar
  11. 11.
    Babcock, M., Cox, R.A.V., Kumar, S.: Diffusion of pro- and anti-false information tweets: the Black Panther movie case. Comput. Math. Organ. Theory (2018).  https://doi.org/10.1007/s10588-018-09286-xCrossRefGoogle Scholar
  12. 12.
    Klausen, J.: Tweeting the Jihad: social media networks of western foreign fighters in Syria and Iraq. Stud. Confl. Terror. 38, 1–22 (2015).  https://doi.org/10.1080/1057610X.2014.974948CrossRefGoogle Scholar
  13. 13.
    Allcott, H., Gentzkow, M.: Social media and fake news in the 2016 election. J. Econ. Perspect. 31, 211–236 (2017).  https://doi.org/10.1257/jep.31.2.211CrossRefGoogle Scholar
  14. 14.
    Al-Garadi, M.A., et al.: Analysis of online social network connections for identification of influential users: survey and open research issues. ACM Comput. Surv. 51, 16:1–16:37 (2018)CrossRefGoogle Scholar
  15. 15.
    Bueza, M.: Survey says: how 2019 senatorial bets are faring so far (2019). https://www.rappler.com/newsbreak/iq/220707-senatorial-candidates-survey-performance-2019-elections
  16. 16.
    Cochrane, J.: Indonesia’s presidential race takes shape, in shadow of hard-line Islam (2018). https://www.nytimes.com/2018/08/11/world/asia/indonesia-presidential-election.html
  17. 17.
    Japan begins filling in Henoko Bay in Okinawa to make room for unpopular US base (2018). https://www.japantimes.co.jp/news/2018/12/14/national/japan-starts-landfill-work-move-unpopular-u-s-base-okinawa
  18. 18.
    Blondel, V.D., Guillaume, J.-L., Lambiotte, R., Lefebvre, E.: Fast unfolding of communities in large networks. J. Stat. Mech: Theory Exp. 2008, P10008 (2008).  https://doi.org/10.1088/1742-5468/2008/10/P10008CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.CASOS, Institute for Software ResearchCarnegie Mellon UniversityPittsburghUSA

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