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On the Influence of Social Bots in Online Protests

Preliminary Findings of a Mexican Case Study
  • Pablo Suárez-SerratoEmail author
  • Margaret E. Roberts
  • Clayton Davis
  • Filippo Menczer
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10047)

Abstract

Social bots can affect online communication among humans. We study this phenomenon by focusing on #YaMeCanse, the most active protest hashtag in the history of Twitter in Mexico. Accounts using the hashtag are classified using the BotOrNot bot detection tool. Our preliminary analysis suggests that bots played a critical role in disrupting online communication about the protest movement.

Keywords

Social bots Twitter Protests 

Notes

Acknowledgments

We thank IPAM at UCLA and the organizers of the Cultural Analytics program, where this work was first conceived, for a wonderful working environment and for bringing diverse fields together. PSS is thankful to the Primrose Foundation for coding help. We thank Alberto Escorcia for collecting the tweet data and giving us access to it, and also Twitter for allowing access to data through their APIs.

References

  1. 1.
    BBC News, Technology Section, Russian Twitter political protests ‘swamped by spam’, March 2012. http://www.bbc.com/news/technology-16108876
  2. 2.
    Barberá, P., Wang, N., Bonneau, R., Jost, J.T., Nagler, J., Tucker, J., González-Bailón, S.: The critical periphery in the growth of social protests. PLoS ONE 10(11), e0143611 (2015)CrossRefGoogle Scholar
  3. 3.
    Chu, Z., Gianvecchio, S., Wang, H., Jajodia, S.: Detecting automation of Twitter accounts: are you a human, bot, or cyborg? IEEE Trans. Dependable Secure Comput. 9(6), 811–824 (2012)CrossRefGoogle Scholar
  4. 4.
    Clark, E.M., Williams, J.R., Jones, C.A., Galbraith, R.A., Danforth, C.M., Dodds, P.S.: Sifting robotic from organic text: a natural language approach for detecting automation on Twitter. J. Comput. Sci. 16, 1–7 (2016)CrossRefGoogle Scholar
  5. 5.
    Clark, E.M., Jones, C.A., Williams, J.R., Kurti, A.N., Norotsky, M.C., Danforth, C.M., Dodds, P.S.: Vaporous marketing: uncovering pervasive electronic cigarette advertisements on Twitter. PLoS ONE 11, e0157304 (2016)CrossRefGoogle Scholar
  6. 6.
    Davis, C., Varol, O., Ferrara, E., Flammini, A., Menczer, F.: BotOrNot: a system to evaluate social bots. In: Developers Day Workshop at WWW Montreal (2016)Google Scholar
  7. 7.
    Dickerson, J.P., Kagan, V.: Using sentiment to detect bots on Twitter: are humans more opinionated than bots? In: Advances in Social Networks Analysis and Mining (2014)Google Scholar
  8. 8.
    Entwickelr.de.: Turkeys Twitter-Bot army and the politics of social media, Montag, WebMagazin, 30 Juni 2014. https://entwickler.de/online/webmagazin/turkeys-twitter-bot-army-and-the-politics-of-social-media-1153.html
  9. 9.
    Ferrara, E., Varol, O., Davis, C., Menczer, F., Flammini, A.: The rise of social bots. Commun. ACM 59(7), 96–104 (2016)CrossRefGoogle Scholar
  10. 10.
    Gayo-Avello, D.: A meta-analysis of state-of-the-art electoral prediction from Twitter data. Soc. Sci. Comput. Rev. 31(6), 649–679 (2013)CrossRefGoogle Scholar
  11. 11.
    Freedom House. Freedom on the Net 2015. Privatizing Censorship, Eroding Privacy (2015)Google Scholar
  12. 12.
    Howard, P.N., Kollanyi, B.: Bots, #StrongerIn, and #Brexit: computational propaganda during the UK-EU Referendum. Available at SSRN 2798311 (2016)Google Scholar
  13. 13.
    King, G., Pan, J., Roberts, M.E.: How the Chinese government fabricates social media posts for strategic distraction, not engaged argument. http://j.mp/1Txxiz1
  14. 14.
    Monroy-Hernandez, A.: The new war correspondents: the rise of civic media curation in urban warfare, pp. 1–10, December 2012Google Scholar
  15. 15.
    Porup, J.M.: How Mexican Twitter Bots Shut Down Dissent, Motherboard, 24 August 2015. http://motherboard.vice.com/read/how-mexican-twitter-bots-shut-down-dissent. Accessed 26 Jul 16
  16. 16.
    Ver Steeg, G., Galstyan, A.: Information transfer in social media. In: WWW 2012 (2012). http://arxiv.org/abs/1110.2724
  17. 17.
  18. 18.
    Wooley, S.: Automating power: Social bot interference in global politics. First Monday 21(4), 4 April 2016. http://firstmonday.org/ojs/index.php/fm/article/view/6161/5300. Accessed 4 Sep 2016

Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Pablo Suárez-Serrato
    • 1
    Email author
  • Margaret E. Roberts
    • 2
  • Clayton Davis
    • 3
  • Filippo Menczer
    • 3
    • 4
  1. 1.Instituto de MatemáticasUniversidad Nacional Autónoma de MéxicoMexico CityMexico
  2. 2.Department of Political ScienceUniversity of California, San DiegoLa JollaUSA
  3. 3.School of Informatics and Computing, Center for Complex Networks and Systems ResearchIndiana UniversityBloomingtonUSA
  4. 4.Indiana University Network Science InstituteBloomingtonUSA

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