Abstract
Social media play an increasingly important role in political communication. Various studies investigated how individuals adopt social media for political discussion, to share their views about politics and policy, or to mobilize and protest against social issues. Yet, little attention has been devoted to the main actors of political discussions: the politicians. In this paper, we explore the topics of discussion of U.S. President Obama and the 50 U.S. State Governors using Twitter data and agenda-setting theory as a tool to describe the patterns of daily political discussion, uncovering the main topics of attention and interest of these actors. We examine over one hundred thousand tweets produced by these politicians and identify seven macro-topics of conversation, finding that Twitter represents a particularly appealing vehicle of conversation for American opposition politicians. We highlight the main motifs of political conversation of the two parties, discovering that Republican and Democrat Governors are more or less similarly active on Twitter but exhibit different styles of communication. Finally, by reconstructing the networks of occurrences of Governors’ hashtags and keywords related to political issues, we observe that Republicans and Democrats form two tight yet polarized cores, with a strongly different shared agenda on many issues of discussion.
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Notes
- 1.
At least with respect to other platforms like Facebook where ties are mostly formed based on pre-existing offline connections [16].
- 2.
Twitter official data: https://about.twitter.com/company.
- 3.
Twitter official blog: https://blog.twitter.com/2014/what-fuels-a-tweets-engagement.
- 4.
White House: State and Local Government, 2015 https://www.whitehouse.gov/1600/state-and-local-government.
- 5.
Given the massive size of the dataset, with over one hundred thousand tweets, this procedure required three annotators and countless hours of work.
References
Adamic, L.A., Glance, N.: The political blogosphere and the 2004 US election: divided they blog. In: Proceedings of the 3rd International Workshop on Link Discovery, pp. 36–43. ACM (2005)
Bakshy, E., Hofman, J.M., Mason, W.A., Watts, D.J.: Everyone’s an influencer: quantifying influence on Twitter. In: Proceedings of the Fourth ACM International Conference on Web Search and Data Mining, pp. 65–74. ACM (2011)
Bekafigo, M.A., McBride, A.: Who tweets about politics? Political participation of twitter users during the 2011 gubernatorial elections. Soc. Sci. Comput. Rev., 0894439313490405 (2013)
Blei, D.M.: Probabilistic topic models. Commun. ACM 55(4), 77–84 (2012)
Blondel, V.D., Guillaume, J.L., Lambiotte, R., Lefebvre, E.: Fast unfolding of communities in large networks. J. Stat. Mech. Theory Exp. 2008(10), P10008 (2008)
Bond, R.M., Fariss, C.J., Jones, J.J., Kramer, A.D., Marlow, C., Settle, J.E., Fowler, J.H.: A 61-million-person experiment in social influence and political mobilization. Nature 489(7415), 295–298 (2012)
Boyd, D., Crawford, K.: Critical questions for big data: provocations for a cultural, technological, and scholarly phenomenon. Inf. Commun. Soc. 15(5), 662–679 (2012)
Carlisle, J.E., Patton, R.C.: Is social media changing how we understand political engagement? An analysis of facebook and the 2008 presidential election. Polit. Res. Q. 66(4), 883–895 (2013)
Cha, M., Haddadi, H., Benevenuto, F., Gummadi, P.K.: Measuring user influence in Twitter: the million follower fallacy. ICWSM 10(10–17), 30 (2010)
Chi, F., Yang, N.: Twitter in congress: outreach vs transparency. Soc. Sci. 1, 1–20 (2010)
Cohen, R., Ruths, D.: Classifying political orientation on Twitter: it’s not easy! In: ICWSM (2013)
Conover, M., Ratkiewicz, J., Francisco, M.R., Gonçalves, B., Menczer, F., Flammini, A.: Political polarization on Twitter. ICWSM 133, 89–96 (2011)
Conover, M.D., Davis, C., Ferrara, E., McKelvey, K., Menczer, F., Flammini, A.: The geospatial characteristics of a social movement communication network. PloS ONE 8(3), e55957 (2013)
Conover, M.D., Ferrara, E., Menczer, F., Flammini, A.: The digital evolution of occupy wall street. PloS ONE 8(5), e64679 (2013)
Conover, M.D., Gonçalves, B., Ratkiewicz, J., Flammini, A., Menczer, F.: Predicting the political alignment of twitter users. In: 2011 IEEE Third International Conference on Privacy, Security, Risk and Trust (PASSAT) and 2011 IEEE Third Inernational Conference on Social Computing (SocialCom), pp. 192–199. IEEE (2011)
De Meo, P., Ferrara, E., Fiumara, G., Provetti, A.: On facebook, most ties are weak. Commun. ACM 57(11), 78–84 (2014)
Diakopoulos, N.A., Shamma, D.A.: Characterizing debate performance via aggregated Twitter sentiment. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 1195–1198. ACM (2010)
DiGrazia, J., McKelvey, K., Bollen, J., Rojas, F.: More tweets, more votes: social media as a quantitative indicator of political behavior. PloS ONE 8(11), e79449 (2013)
Effing, R., Hillegersberg, J., Huibers, T.: Social media and political participation: are Facebook, Twitter and YouTube democratizing our political systems? In: Tambouris, E., Macintosh, A., Bruijn, H. (eds.) ePart 2011. LNCS, vol. 6847, pp. 25–35. Springer, Heidelberg (2011). doi:10.1007/978-3-642-23333-3_3
Ellison, N.B., Vitak, J., Gray, R., Lampe, C.: Cultivating social resources on social network sites: Facebook relationship maintenance behaviors and their role in social capital processes. J. Comput. Mediated Commun. 19(4), 855–870 (2014)
Ferrara, E.: Manipulation and abuse on social media. ACM SIGWEB Newslett. (Spring), 4 (2015)
Ferrara, E., Varol, O., Davis, C., Menczer, F., Flammini, A.: The rise of social bots. Commun. ACM 59(7), 96–104 (2016)
Ferrara, E., Varol, O., Menczer, F., Flammini, A.: Traveling trends: social butterflies or frequent fliers? In: Proceedings of the First ACM Conference on Online Social Networks, pp. 213–222. ACM (2013)
Fortunato, S., Barthelemy, M.: Resolution limit in community detection. Proc. Natl. Acad. Sci. 104(1), 36–41 (2007)
Gayo-Avello, D.: I wanted to predict elections with Twitter and all i got was this lousy paper-a balanced survey on election prediction using twitter data. arXiv preprint arXiv:1204.6441 (2012)
Gerbaudo, P.: Tweets and the Streets: Social Media and Contemporary Activism. Pluto Press, London (2012)
Gibson, R.K., McAllister, I.: Does cyber-campaigning win votes? Online communication in the 2004 Australian election. J. Elections Pub. Opin. Parties 16(3), 243–263 (2006)
Glassman, M., Straus, J.R., Shogan, C.J.: Social networking and constituent communication: Member use of twitter during a two-week period in the 111th congress. Congressional Research Service, Library of Congress (2009)
Golbeck, J., Grimes, J.M., Rogers, A.: Twitter use by the us congress. J. Am. Soc. Inform. Sci. Technol. 61(8), 1612–1621 (2010)
Hemphill, L., Culotta, A., Heston, M.: Framing in social media: How the us congress uses twitter hashtags to frame political issues. Available at SSRN 2317335 (2013)
Hemphill, L., Otterbacher, J., Shapiro, M.: What’s congress doing on Twitter? In: Proceedings of the 2013 Conference on Computer Supported Cooperative Work, pp. 877–886. ACM (2013)
Howard, P.N., Duffy, A., Freelon, D., Hussain, M.M., Mari, W., Maziad, M.: Opening closed regimes: what was the role of social media during the arab spring? Available at SSRN 2595096 (2011)
Iyengar, S.: Is Anyone Responsible? How Television Frames Political Issues. University of Chicago Press, Chicago (1994)
Iyengar, S., Simon, A.F.: New perspectives and evidence on political communication and campaign effects. Ann. Rev. Psychol. 51(1), 149–169 (2000)
Lazer, D., Pentland, A.S., Adamic, L., Aral, S., Barabasi, A.L., Brewer, D., Christakis, N., Contractor, N., Fowler, J., Gutmann, M., et al.: Life in the network: the coming age of computational social science. Science 323(5915), 721 (2009). (New York, NY)
Lerman, K., Ghosh, R.: Information contagion: an empirical study of the spread of news on Digg and Twitter social networks. In: Proceedings of the 4th International AAAI Conference on Weblogs and Social Media, pp. 90–97 (2010)
Macnamara, J.: The quadrivium of online public consultation: policy, culture, resources, technology. Aust. J. Polit. Sci. 45(2), 227–244 (2010)
McCombs, M.: A look at agenda-setting: past, present and future. Journalism Stud. 6(4), 543–557 (2005)
McCombs, M.E., Shaw, D.L.: The agenda-setting function of mass media. Pub. Opin. Q. 36(2), 176–187 (1972)
McCombs, M.E., Shaw, D.L., Weaver, D.H.: Communication and Democracy: Exploring the Intellectual Frontiers in Agenda-setting Theory. Psychology Press, Mahwah (1997)
Metaxas, P.T., Mustafaraj, E.: Social media and the elections. Science 338(6106), 472–473 (2012)
Morstatter, F., Pfeffer, J., Liu, H., Carley, K.M.: Is the sample good enough? Comparing data from twitter’s streaming api with twitter’s firehose. arXiv preprint arXiv:1306.5204 (2013)
Parmelee, J.H., Bichard, S.L.: Politics and the Twitter revolution: How tweets influence the relationship between political leaders and the public. Lexington Books (2011)
Pentland, A.: Social Physics: How Good Ideas Spread-the Lessons From a New Science. Penguin Press, New York (2014)
Ratkiewicz, J., Conover, M., Meiss, M., Goncalves, B., Flammini, A., Menczer, F.: Detecting and tracking political abuse in social media. In: Proceedings of the 5th International AAAI Conference on Weblogs and Social Media, pp. 297–304 (2011)
Russell Neuman, W., Guggenheim, L., Mo Jang, S., Bae, S.Y.: The dynamics of public attention: agenda-setting theory meets big data. J. Commun. 64(2), 193–214 (2014)
Shogan, C.J.: Blackberries, tweets, and Youtube: technology and the future of communicating with congress. PS Polit. Sci. Polit. 43(02), 231–233 (2010)
Stieglitz, S., Dang-Xuan, L.: Political communication and influence through microblogging-an empirical analysis of sentiment in Twitter messages and retweet behavior. In: 2012 45th Hawaii International Conference on System Science (HICSS), pp. 3500–3509. IEEE (2012)
Tumasjan, A., Sprenger, T.O., Sandner, P.G., Welpe, I.M.: Election forecasts with Twitter: how 140 characters reflect the political landscape. Soc. Sci. Comput. Rev., 0894439310386557 (2010)
Varol, O., Ferrara, E., Ogan, C.L., Menczer, F., Flammini, A.: Evolution of online user behavior during a social upheaval. In: Proceedings of the 2014 ACM Conference on Web Science, pp. 81–90. ACM (2014)
Wang, Y., Feng, Y., Zhang, X., Niemi, R., Luo, J.: Will sanders supporters jump ship for trump? Fine-grained analysis of twitter followers. arXiv preprint arXiv:1605.09473 (2016)
Wang, Y., Li, Y., Luo, J.: Deciphering the 2016 US presidential campaign in the twitter sphere: a comparison of the trumpists and clintonists. arXiv preprint arXiv:1603.03097 (2016)
Wanta, W., Ghanem, S.: Effects of agenda setting. Mass media effects research: Advances through meta-analysis, pp. 37–51 (2007)
Weaver, D., McCombs, M., Shaw, D.L.: Agenda-setting research: issues, attributes, and influences. In: Handbook of Political Communication Research, pp. 257–282 (2004)
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Yang, X., Chen, BC., Maity, M., Ferrara, E. (2016). Social Politics: Agenda Setting and Political Communication on Social Media. In: Spiro, E., Ahn, YY. (eds) Social Informatics. SocInfo 2016. Lecture Notes in Computer Science(), vol 10046. Springer, Cham. https://doi.org/10.1007/978-3-319-47880-7_20
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