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Candidate Networks, Citizen Clusters, and Political Expression

Author

Listed:
  • Leticia Bode
  • Alexander Hanna
  • Junghwan Yang
  • Dhavan V. Shah

Abstract

Twitter provides a direct method for political actors to connect with citizens, and for those citizens to organize into online clusters through their use of hashtags (i.e., a word or phrase marked with # to identify an idea or topic and facilitate a search for it). We examine the political alignments and networking of Twitter users, analyzing 9 million tweets produced by more than 23,000 randomly selected followers of candidates for the U.S. House and Senate and governorships in 2010. We find that Twitter users in that election cycle did not align in a simple Right-Left division; rather, five unique clusters emerged within Twitter networks, three of them representing different conservative groupings. Going beyond discourses of fragmentation and polarization, certain clusters engaged in strategic expression such as “retweeting†(i.e., sharing someone else’s tweet with one’s followers) and “hashjacking†(i.e., co-opting the hashtags preferred by political adversaries). We find the Twitter alignments in the political Right were more nuanced than those on the political Left and discuss implications of this behavior in relation to the rise of the Tea Party during the 2010 elections.

Suggested Citation

  • Leticia Bode & Alexander Hanna & Junghwan Yang & Dhavan V. Shah, 2015. "Candidate Networks, Citizen Clusters, and Political Expression," The ANNALS of the American Academy of Political and Social Science, , vol. 659(1), pages 149-165, May.
  • Handle: RePEc:sae:anname:v:659:y:2015:i:1:p:149-165
    DOI: 10.1177/0002716214563923
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    References listed on IDEAS

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    1. Henry Farrell & Daniel Drezner, 2008. "The power and politics of blogs," Public Choice, Springer, vol. 134(1), pages 15-30, January.
    2. Chi, Feng & Yang, Nathan, 2010. "Twitter in Congress: Outreach vs Transparency," MPRA Paper 23597, University Library of Munich, Germany, revised 22 Jun 2010.
    3. Chi Feng & Yang Nathan, 2011. "Twitter Adoption in Congress," Review of Network Economics, De Gruyter, vol. 10(1), pages 1-46, March.
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    Cited by:

    1. Merve Genç, 2023. "#NotDying4Wallstreet: A Discourse Analysis on Health vs. Economy during COVID-19," Societies, MDPI, vol. 13(2), pages 1-24, January.

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