Transcript
  • 1. COMMUNITY STRUCTURE INCONGRESSIONALCONVERSATION NETWORKSOr, the paper formerly known asRelationships Among Twitter ConversationNetworks, Language Use, and CongressionalVotingLibby Hemphill, Jahna Otterbacher, andMatthew Shapiro
  • 2. What do we expect to see? Interaction with constituents 5,8,10 Polarization, divided communities 1,3,4,8 More activity among Republicans 9 More activity among Senators 9 Similar presentations among men and women 7
  • 3. Legend for graphsEdge PropertiesColor Gray = same party Yellow = different partiesNode PropertiesColor Red = Republican Blue = Democrat Yellow = IndependentShape Solid square = House Solid circle = SenateSize In degreeOpacity Out degree
  • 4. April 12, 2012 Shapiro, Hemphill, and OtterbacherCongress mentioning each other:Excluding self-loops
  • 5. April 12, 2012 Shapiro, Hemphill, and OtterbacherCongress mentioning each other:including self-loops
  • 6. April 12, 2012 Shapiro, Hemphill, and OtterbacherHouse only
  • 7. April 12, 2012 Shapiro, Hemphill, and OtterbacherSenate only
  • 8. Predicting Connections (1) (2) (3) (4) crossparty crosschamber crossparty crosschamberRepublican -0.308*** 0.107** -0.325*** 0.0908** (-12.86) (3.27) (-13.15) (2.71)Senate 0.172*** 2.715*** 0.180*** 2.724*** (5.46) (74.83) (5.69) (74.48)Male 0.0925** 0.0944* (2.79) (2.12)_cons -0.230*** -1.943*** -0.299*** -2.014*** (-12.21) (-71.46) (-9.62) (-46.26)N = 29,597t statistics in parentheses* p < 0.05, ** p < 0.01, *** p < 0.001
  • 9. Results Low density indicates low cohesion 6 Republicans, Senators, and males more likely to mention across chambers Senators and men more likely to mention across party lines Conservatives mention each other more 1 Explicitly engage small subset of those under surveillance 2
  • 10. Takeaways New medium, not new behavior 11 Congress less polarized than political blogosphere 1 Echo chamber more than broadcast medium
  • 11. Contact us Libby Hemphill ([email protected]) Jahna Otterbacher ([email protected]) Matt Shapiro ([email protected]) Illinois Institute of Technology [email protected] http://www.casmlab.org/projects/publicofficials/
  • 12. References1. Adamic, L. A., & Glance, N. (2005). The political blogosphere and the 2004 U.S. election: Divided they blog. Proceedings of the 3rd International Workshop on Link Discovery (LinkKDD 05) (pp. 3643). New York, NY, USA: ACM. Retrieved from http://portal.acm.org/citation.cfm?id=11342772. Bakshy, E., Hofman, J. M., Watts, D. J., & Mason, W. A. (2011). Everyones an inuencer: Quantifying inuence on Twitter. Proceedings of the fourth ACM International Conference on Web Search and Data Mining (WSDM 11) (pp. 65-74). New York: ACM.3. Conover, M. D., Ratkiewicz, J., Francisco, M., Goncalves, B., Flammini, A., & Menczer, F. (2011). Political polarization on Twitter. Proceedings of the Fifth International AAAI Conference on Weblogs and Social Media (pp. 89-96). Palo Alto: AAAI Press.4. Iyengar, S., & Hahn, K. S. (2009). Red Media, Blue Media: Evidence of Ideological Selectivity in Media Use. Journal of Communication, 59(1), 19-39. Retrieved from http://doi.wiley.com/10.1111/j.1460-2466.2008.01402.x5. Johnson, D. W. (2004). Congress Online: Bridging the Gap Between Citizens and Their Representatives (Google eBook) (p. 242). Psychology Press. Retrieved from http://books.google.com/books?hl=en&lr=&id=0vgVHQTpygkC&pgis=16. Livne, A., Simmons, M. P., Adar, E., & Adamic, L. A. (2011). The party is over here: Structure and content in the 2010 election. 5th International AAAI Conference on Weblogs and Social Media (ICWSM). Palto Alto: AAAI Press.7. Niven, D., & Zilber, J. (2001). Do Women and Men in Congress Cultivate Different Images? Evidence from Congressional Web Sites. Political Communication, 18(4), 395-405. Routledge. Retrieved from http://www.tandfonline.com/doi/abs/10.1080/105846001526471008. Parmelee, J. H., & Bichard, S. L. (2011). Politics and the Twitter Revolution: How Tweets Influence the Relationship Between Political Leaders and the Public (Google eBook) (Vol. 2011, p. 247). Lexington Books. Retrieved from http://books.google.com/books?id=KPn5Pnkhx7sC&pgis=19. Wang, (Bryan) M., Hanna, A., Sayre, B., Yang, J., Mirer, M., Kim, M., & Shah, D. (2011). Who is following me? An analysis of candidate egocentric networks on Twitter in the 2010 midterm elections. 2011 Midwest Political Science Association Annual National Conference. Chicago: MPSA.10. Williams, C. B., & Gulati, G. J. (2010). Communicating with constituents in 140 characters or less: Twitter and the diffusion of technology innovation in the United States Congress . SSRN eLibrary. Chicago: SSRN. Retrieved from http://ssrn.com/paper=181705311. Xenos, M. A., & Foot, K. A. (2005). Politics as usual, or politics unusual? Position taking and dialogue on campaign websites in the 2002 U.S. Elections. Journal of Communication, 55(1), 169-185. Retrieved from http://doi.wiley.com/10.1111/j.1460-2466.2005.tb02665.x

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