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The Dynamics of Public Attention: Agenda‐Setting Theory Meets Big Data
dc.contributor.authorRussell Neuman, W.en_US
dc.contributor.authorGuggenheim, Laurenen_US
dc.contributor.authorMo Jang, S.en_US
dc.contributor.authorBae, Soo Youngen_US
dc.date.accessioned2014-05-23T15:59:20Z
dc.date.available2015-06-01T15:48:46Zen_US
dc.date.issued2014-04en_US
dc.identifier.citationRussell Neuman, W.; Guggenheim, Lauren; Mo Jang, S.; Bae, Soo Young (2014). "The Dynamics of Public Attention: Agenda‐Setting Theory Meets Big Data." Journal of Communication 64(2): 193-214.en_US
dc.identifier.issn0021-9916en_US
dc.identifier.issn1460-2466en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/106877
dc.description.abstractResearchers have used surveys and experiments to better understand communication dynamics, but confront consistent distortion from self‐report data. But now both digital exposure and resulting expressive behaviors (such as tweets) are potentially accessible for direct analysis with important ramifications for the formulation of communication theory. We utilize “big data” to explore attention and framing in the traditional and social media for 29 political issues during 2012. We find agenda setting for these issues is not a one‐way pattern from traditional media to a mass audience, but rather a complex and dynamic interaction. Although the attentional dynamics of traditional and social media are correlated, evidence suggests that the rhythms of attention in each respond to a significant degree to different drummers .en_US
dc.publisherWiley Subscription Services, Inc.en_US
dc.titleThe Dynamics of Public Attention: Agenda‐Setting Theory Meets Big Dataen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelCommunicationsen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/106877/1/jcom12088.pdf
dc.identifier.doi10.1111/jcom.12088en_US
dc.identifier.sourceJournal of Communicationen_US
dc.identifier.citedreferenceMcCombs, M. E., & Shaw, D. L. ( 1993 ). The evolution of agenda‐setting research: Twenty‐five years in the marketplace of ideas. Journal of Communication, 43 ( 2 ), 58 – 67. doi: 10.1111/j.1460‐2466.1993.tb01262.x.en_US
dc.identifier.citedreferenceMcCombs, M. ( 2004 ). Setting the agenda: The mass media and public opinion. Cambridge, UK: Polity.en_US
dc.identifier.citedreferenceMcCombs, M. E., & Shaw, D. L. ( 1972 ). The agenda‐setting function of the mass media. Public Opinion Quarterly, 36, 176 – 187. doi: 10.1086/267990.en_US
dc.identifier.citedreferenceMcCombs, M., Shaw, D. L., & Weaver, D. H. ( 1997 ). Communication and democracy: Exploring the intellectual frontiers in agenda‐setting theory. Mahwah, NJ: Erlbaum.en_US
dc.identifier.citedreferenceNeuman, W. R. ( 1990 ). The threshold of public attention. Public Opinion Quarterly, 54 ( 2 ), 159 – 176.en_US
dc.identifier.citedreferencePage, B. I., & Shapiro, R. Y. ( 1991 ). The rational public: Fifty years of trends in Americans' policy preferences. Chicago, IL: University of Chicago Press.en_US
dc.identifier.citedreferenceRoberts, M., Wanta, W., & Dzwo, T. H. (Dustin). ( 2002 ). Agenda setting and issue salience online. Communication Research, 29 ( 4 ), 452 – 465. doi: 10.1177/0093650202029004004.en_US
dc.identifier.citedreferenceSeth, A. ( 2007 ). Granger causality. Scholarpedia, 2 ( 7 ), 1667.en_US
dc.identifier.citedreferenceShah, D. V., Watts, M. D., Domke, D., & Fan, D. P. ( 2002 ). News framing and cueing of issue regimes: Explaining Clinton's public approval in spite of scandal. Public Opinion Quarterly, 66 ( 3 ), 339 – 370. doi: 10.1086/341396.en_US
dc.identifier.citedreferenceShoemaker, P. J., & Reese, S. D. ( 2014 ). Mediating the message in the 21st century: A media sociology perspective. New York, NY: Allyn and Bacon.en_US
dc.identifier.citedreferenceTaylor, C. ( 2011, September 8). Twitter has 100 million active users. Retrieved from Mashable.com.en_US
dc.identifier.citedreferenceWallsten, K. ( 2007 ). Agenda setting and the blogosphere: An analysis of the relationship between mainstream media and political blogs. Review of Policy Research, 24 ( 6 ), 567 – 587. doi: 10.1111/j.1541‐1338.2007.00300.x.en_US
dc.identifier.citedreferenceWanta, W. ( 1997 ). The public and the national agenda: How people learn about important issues. Mahwah, NJ: Erlbaum.en_US
dc.identifier.citedreferenceWanta, W., & Ghanem, S. ( 2007 ). Effects of agenda setting. In R. W. Preiss, B. M. Gayle, N. Burrell, M. Allen, & J. Bryant. (Eds.), Mass media effects research: Advances through meta‐analysis (pp. 37 – 52 ). Mahwah NJ: Erlbaum.en_US
dc.identifier.citedreferenceWanta, W., & Hu, Y.‐W. ( 1994 ). Time‐lag differences in the agenda‐setting process: An examination of five news media. The International Journal of Public Opinion Research, 6 ( 3 ), 225 – 240. doi: 10.1093/ijpor/6.3.225.en_US
dc.identifier.citedreferenceWiener, N. ( 1956 ). The theory of prediction. In F. E. Beckenbach (Ed.), Modern mathematics for engineers. New York, NY: McGraw Hill.en_US
dc.identifier.citedreferenceZaller, J. ( 1992 ). The nature and origins of mass opinion. New York, NY: Cambridge University Press.en_US
dc.identifier.citedreferenceBansal, N., & Koudas, N. ( 2007 ). BlogScope: Spatio‐temporal analysis of the blogosphere. Proceedings of WWW 2007, 1269–1270. Retrieved from http://www2007.org/posters/poster908.pdfen_US
dc.identifier.citedreferenceBecketti, S. ( 2013 ). Introduction to time series using Stata. College Station, TX: Stata Press.en_US
dc.identifier.citedreferenceBennett, W. L. ( 1990 ). Toward a theory of press‐state relations in the United States. Journal of Communication, 40 ( 2 ), 103 – 127. doi: 10.1111/j.1460‐2466.1990.tb02265.x.en_US
dc.identifier.citedreferenceBlogpulse. ( 2011 ). blogpulse.com NM Incite.en_US
dc.identifier.citedreferenceBollier, D. ( 2010 ). The promise and peril of big data. Washington, DC: Aspen Institute.en_US
dc.identifier.citedreferenceBorrero, J. D., & Gualda, E. ( 2013 ). Crawling big data in a new frontier for socioeconomic research: Testing with social tagging. Journal of Spatial and Organizational Dynamics—Discussion Papers Number 12. Retrieved from: http://www.cieo.pt/discussionpapers/12/article1.pdfen_US
dc.identifier.citedreferenceBoyd, D., & Crawford, K. ( 2012 ). Critical questions for big data. Information, Communication and Society, 15 ( 5 ), 662 – 679. doi: 10.1080/1369118x.2012.678878.en_US
dc.identifier.citedreferenceBrosius, H. B., & Kepplinger, H. M. ( 1990 ). The agenda‐setting function of television news. Communication Research, 17 ( 2 ), 183 – 211. doi: 10.1177/009365090017002003.en_US
dc.identifier.citedreferenceBurstein, P. ( 1985 ). Discrimination, jobs, and politics: The struggle for equal opportunity in the United States since the New Deal. Chicago, IL: University of Chicago Press.en_US
dc.identifier.citedreferenceChaffee, S. H. ( 1972 ). Longitudinal designs for communication research: Cross‐lagged correlations. Paper presented to the Annual Conference of the Association for Education in Journalism, Carbondale, IL.en_US
dc.identifier.citedreferenceChong, D. ( 1993 ). How people think, reason, and feel about rights and liberties. American Journal of Political Science, 37 ( 3 ), 867 – 899. doi: 10.2307/2111577.en_US
dc.identifier.citedreferenceChong, D., & Druckman, J. N. ( 2007 ). Framing theory. Annual Review of Political Science, 10 ( 1 ), 103 – 126. doi: 10.1146/annurev.polisci.10.072805.103054.en_US
dc.identifier.citedreferenceCohen, B. C. ( 1963 ). The press and foreign policy. Princeton, NJ: Princeton University Press.en_US
dc.identifier.citedreferenceCohen, J. E. ( 2008 ). The presidency in the era of 24‐hour news. Princeton, NJ: Princeton University Press.en_US
dc.identifier.citedreferenceDearing, J. W., & Rogers, E. M. ( 1996 ). Agenda‐setting. Thousand Oaks, CA: Sage.en_US
dc.identifier.citedreferenceDenham, B. E. ( 2010 ). Toward conceptual consistency in studies of agenda‐building processes: A scholarly review. The Review of Communication, 10 ( 4 ), 306 – 323. doi: 10.1080/15358593.2010.502593.en_US
dc.identifier.citedreferenceDruckman, J. N., & Nelson, K. R. ( 2003 ). Framing and deliberation: How citizens' conversations limit elite influence. American Journal of Political Science, 47, 728 – 744. doi: 10.1111/1540‐5907.00051.en_US
dc.identifier.citedreferenceEntman, R. M. ( 1993 ). Framing: Toward clarification of a fractured paradigm. Journal of Communication, 43 ( 4 ), 51 – 58. doi: 10.1111/j.1460‐2466.1993.tb01304.x.en_US
dc.identifier.citedreferenceEntman, R. M. ( 2004 ). Projections of power: Framing news, public opinion, and U.S. foreign policy. Chicago, IL: University of Chicago Press.en_US
dc.identifier.citedreferenceErikson, R. S., MacKuen, M., & Stimson, J. A. ( 2002 ). The macro polity. New York, NY: Cambridge University Press.en_US
dc.identifier.citedreferenceFan, D. P. ( 1988 ). Predictions of public opinion from the mass media. Westport, CT: Greenwood.en_US
dc.identifier.citedreferenceFreeman, J. R. ( 1983 ). Granger causality and the times series analysis of political relationships. American Journal of Political Science, 27 ( 2 ), 327.en_US
dc.identifier.citedreferenceGamson, W. A. ( 1992 ). Talking politics. New York, NY: Cambridge University Press.en_US
dc.identifier.citedreferenceGilens, M. ( 1999 ). Why Americans hate welfare: Race, media and the politics of antipoverty policy. Chicago, IL: University of Chicago Press.en_US
dc.identifier.citedreferenceGolan, G. ( 2006 ). Inter‐media agenda setting and global news coverage: Assessing the influence of the New York Times on three network television evening news programs. Journalism Studies, 7 ( 2 ), 323 – 333. doi: 10.1080/14616700500533643.en_US
dc.identifier.citedreferenceGranger, C. W. J. ( 1969 ). Investigating causal relations by econometric models and cross‐spectral methods. Econometrica, 37 ( 3 ), 424 – 438. doi: 10.2307/1912791.en_US
dc.identifier.citedreferenceGuggenheim, L., Neuman, W. R., Jang, S. M., & Bae, S. Y. ( 2014 ). The dynamics of issue frame competition in traditional and social media. Working paper, University of Michigan, Ann Arbor, MI.en_US
dc.identifier.citedreferenceHabermas, J. ( 1962 ). The structural transformation of the public sphere. Cambridge, MA: MIT Press.en_US
dc.identifier.citedreferenceHaskins, W. ( 2007 ). Bloggers' greatest hits, Vol. 1. TechNewsWorld. Retrieved from: http://www.technewsworld.com/story/58038.htmlen_US
dc.identifier.citedreferenceHindman, M. S. ( 2009 ). The myth of digital democracy. Princeton, NJ: Princeton University Press.en_US
dc.identifier.citedreferenceHolsti, O. R. ( 2004 ). Public opinion and American foreign policy. Ann Arbor, MI: University of Michigan Press.en_US
dc.identifier.citedreferenceIyengar, S. ( 1991 ). Is anyone responsible? How television frames political issues. Chicago, IL: University of Chicago Press.en_US
dc.identifier.citedreferenceKarpf, D. ( 2008 ). Measuring influence in the political blogosphere. Politics and Technology Review, 33 – 41.en_US
dc.identifier.citedreferenceKatz, E., & Lazarsfeld, P. F. ( 1955 ). Personal influence: The part played by people in the flow of communications. New York, NY: Free Press.en_US
dc.identifier.citedreferenceKellstedt, P. M. ( 2003 ). The mass media and the dynamics of American racial attitudes. New York, NY: Cambridge University Press.en_US
dc.identifier.citedreferenceKelly, R. ( 2009, August 12). Twitter study. San Antonio, TX: Pear Analytics. Retrieved from http://www.pearanalytics.com/wp‐content/uploads/2012/12/Twitter‐Study‐August‐2009.pdfen_US
dc.identifier.citedreferenceKim, S.‐T., & Lee, Y.–. H. ( 2006 ). New functions of Internet mediated agenda‐setting: Agenda‐rippling and reversed agenda‐setting. Korean Journal of Journalism and Communication Studies, 50 ( 3 ), 175 – 205.en_US
dc.identifier.citedreferenceKlapper, J. ( 1960 ). The effects of mass communication. New York, NY: Free Press.en_US
dc.identifier.citedreferenceKuhn, T. ( 1962 ). The structure of scientific revolutions. Chicago, IL: University of Chicago Press.en_US
dc.identifier.citedreferenceLee, J. K. ( 2007 ). The effect of the Internet on homogeneity of the media agenda: A test of the fragmentation thesis. Journalism and Mass Communication Quarterly, 84 ( 4 ), 745 – 760. doi: 10.1177/107769900708400406.en_US
dc.identifier.citedreferenceLenhart, A., & Fox, S. ( 2006 ). Bloggers: A portrait of the internet's new storytellers. Retrieved from: http://www.pewinternet.org/˜/media/Files/Reports/2006/PIP%20Bloggers%20Report%20July%2019%202006.pdf.en_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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