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Research Article

Exploring the Relationship Between Televised Presidential Debate and Twitter: A Network Analysis of Intermedia Agenda Setting

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References

  • Adams, A., & McCorkindale, T. (2013). Dialogue and transparency: A content analysis of how the 2012 presidential candidates used Twitter. Public Relations Review, 39(4), 357–359. https://doi.org/10.1016/j.pubrev.2013.07.016
  • Aldrich, J. H. (1995). Why Parties? The Origin and Transformations of Political Parties in America. University of Chicago Press.
  • Arman, Z. R. (2022). Networked Huawei agendas during the US-China trade conflict: The interrelationships between Huawei, the news media, and public tweets. International Journal of Communication, 16, 21. https://ijoc.org/index.php/ijoc/article/view/19359/3950
  • Barberá, P., Boydstun, A. E., Linn, S., McMahon, R., & Nagler, J. (2021). Automated text classification of news articles: A practical guide. Political Analysis, 29(1), 19–42. https://doi.org/10.1017/pan.2020.8
  • Bawn, K., Cohen, M., Karol, D., Masket, S., Noel, H., & Zaller, J. (2012). A theory of political parties: Groups, policy demands and nominations in American politics. Perspectives on Politics, 10(3), 571–597. https://doi.org/10.1017/S1537592712001624
  • Bonacich, P. (1972). Factoring and weighting approaches to status scores and clique identificaton. Journal of Mathematical Sociology, 2(1), 113–120. https://doi.org/10.1080/0022250X.1972.9989806
  • Borgatti, S. P., Everett, M. G., & Johnson, J. C. (2018). Analyzing Social Networks. LosAngeles, SAGE.
  • Carmines, E. G., & Woods, J. (2002). The role of party activists in the evolution of the abortion issue. Political Behavior, 24(4), 361–377. https://doi.org/10.1023/A:1022510927796
  • Ceron, A. (2014). Twitter and the traditional media: Who is the real agenda-setter?. APSA 2014 Annual Meeting Paper. https://ssrn.com/abstract=2454310
  • Chang, S. I., Gable, G., Smythe, E., & Timbrell, G. (2000). A Delphi examination of public sector ERP implementation issues. https://aisel.aisnet.org/icis2000/49
  • Cohen, M., Karol, D., Noel, H., & Zaller, J. (2008). The Party Decides: Presidential Nominations Before and After Reform. University of Chicago Press.
  • Conway, B. A., Kenski, K., & Wang, D. (2013). Twitter use by the presidential primary candidates during the 2012 campaign. American Behavioral Scientist, 57(11), 1596–1610. https://doi.org/10.1177/0002764213489014
  • Conway, B. A., Kenski, K., & Wang, D. (2015). The rise of Twitter in the political campaign: Searching for intermedia agenda-setting effects in the presidential primary. Journal of Computer-Mediated Communication, 20(4), 363–380. https://doi.org/10.1111/jcc4.12124
  • Dewey, J. (1954). The Public and Its Problems. Swallow Press.
  • Doerfel, M. F. (1998). What comparison semantic network analysis? A comparison of research and methodology. Connection, 2(2), 16–26. https://qualquant.org/wp-content/uploads/cda/Doerfel%20What%20constitutes%20semantic%20network%20analysis.pdf
  • Doerfel, M. F., & Connaughton, S. L. (2008). Semantic networks and competition: Election year winning and losing in U.S. televised presidential debates,1960-2004. Journal of the American Society for Information and Technology, 60(1), 201–218. https://doi.org/10.1002/asi.20950
  • Du, Y. R. (2013). Intermedia agenda-setting in the age of globalization: A multinational agenda-setting test. Global Media and Communication, 9(1), 19–36. https://doi.org/10.1177/1742766512463038
  • Fuhse, J. A. (2015). Networks from communication. European Journal of Social Theory, 18(1), 39–59. https://doi.org/10.1177/1368431014549683
  • Grant, W. J., Moon, B., & Grant, J. B. (2010). Digital dialogue? Australian politicians’ use of the social network tool twitter. Australian Journal of Political Science, 45(4), 579–604. https://doi.org/10.1080/10361146.2010.517176
  • Groshek, J., & Groshek, M. C. (2010). Agenda trending: Reciprocity and the predictive capacity of social networking sites in intermedia agenda-setting across topics over time. Media and Communication, 1(1), 15–27. https://doi.org/10.2139/ssrn.2199144
  • Gueorguieva, V. (2008). Voters, MySpace, and YouTube: The impact of alternative communication channels on the 2006 election cycle and beyond. Social Science Computer Review, 26(3), 288–300. https://doi.org/10.1177/0894439307305636
  • Guo, L. (2012). The Application of Social Network Analysis in agenda-setting research: A methodological exploration. Journal of Broadcasting & Electronic Media, 56(4), 616–631. https://doi.org/10.1080/08838151.2012.732148
  • Guo, L., & McCombs, M. (2011). Toward the third level of agenda-setting theory: A network agenda-setting model. Presented at the Association for Education in Journalism and Mass Communication annual conference, Boston, MA, USA. St. Louis.
  • Guo, L., & McCombs, S. (2011). Network agenda-setting: A third level of media effects. Presented at the International Communication Association annual conference, Boston.
  • Guo, L., & Vargo, C. (2015). The power of message networks: A big-data analysis of the network agenda-setting model and issue ownership. Mass Communication and Society, 18(5), 557–576. https://doi.org/10.1080/15205436.2015.1045300
  • Guo, L., Vargo, C. J., Pan, Z., Ding, W., & Ishwar, P. (2016). Big social data analytics in journalism and mass communication: Comparing dictionary-based text analysis and unsupervised topic modeling. Journalism and Mass Communication Quarterly, 93(2), 332–359. https://doi.org/10.1177/1077699016639231
  • Guo, L., Vu, H. T., & McCombs, M. (2012). An expanded perspective on agenda-setting effects. Exploring the third level of agenda-setting. Revista de Comunicación, 11(1), 51–68. https://revistadecomunicacion.com/article/view/2755
  • Jackson, J. S. (2014). The American Political Party System: Continuity and Change over Ten Presidential Elections. Brookings Institution Press.
  • Kaplan, S. (1973). Cognitive maps in perception and thought. In R. M. Downs & D. Stea (Eds.), Image and environment: Cognitive mapping and spatial behavior (pp. 63–78). Aldine.
  • Krackardt, D. (1987). QAP partialling as a test of spuriousness. Social Networks, 6(1), 171–186. https://doi.org/10.1016/0378-8733(87)90012-8
  • McCombs, M. (2005). A look at agenda-setting: Past, present and future. Journalism Studies, 6(4), 543–557. https://doi.org/10.1080/14616700500250438
  • McCombs, M. E. (1981). The Agenda-Setting Approach. In D. D. Nimmo, & K. R. Sanders (Eds.), Handbook of Political Communication (pp. 121–140). Sage Publications.
  • McCombs, M. E., & Shaw, D. L. (1972). The agenda-setting function of mass media. Public Opinion Quarterly, 36(2), 176–187. https://doi.org/10.1086/267990
  • Meraz, S. (2009). Is there an elite hold? Traditional media to social media agenda-setting influence in blog networks. Journal of Computer-Mediated Communication, 14(3), 682–707. https://doi.org/10.1111/j.1083-6101.2009.01458.x
  • Metzgar, E., & Maruggi, A. (2009). Social media and the 2008 U.S. presidential election. Journal of New Communications Research, 4, 141–165. https://openurl.ebsco.com/EPDB%3Agcd%3A9%3A9797689/detailv2?sid=ebsco%3Aplink%3Ascholar&id=ebsco%3Agcd%3A51533393&crl=c
  • Ognyanova, K., & Monge, P. (2013). A multitheoretical, multilevel, multidimensional network model of the media system: Production, content, and audiences. Annals of the International Communication Association, 37(1), 67–93. https://doi.org/10.1080/23808985.2013.11679146
  • Sayre, B., Bode, L., Shah, D., Wilcox, D., & Shah, C. (2010). Agenda-setting in a digital age: Tracking attention to California proposition 8 in social media, online news, and conventional news. Policy & Internet, 2(2), 7–32. https://doi.org/10.2202/1944-2866.1040
  • Sharp, A. (2015). Twitter to partner with CBS News for Iowa democratic debate. Twitter. Retrieved from. https://blog.twitter.com/en_us/a/2015/twitter-to-partner-with-cbs-news-for-iowa-democratic-debate.html
  • Shrestha, M. K., & Feiock, R. C. (2009). Governing U.S. metropolitan areas: Self-organizing and multiplex service network. American Politics Research, 37), 5(5), 801–823. https://doi.org/10.1177/1532673X09337466
  • Stern, S., Livan, G., & Smith, R. E. (2020). A network perspective on intermedia agenda-setting. Applied Network Science, 5(1), 1–22. https://doi.org/10.1007/s41109-020-00272-4
  • Su, Y. (2022). Networked agenda flow between elite US newspapers and Twitter: A case study of the 2020 black lives matter movement. Journalism, 0(0), 1–21. https://doi.org/10.1177/14648849221092521.
  • Su, L., Cassiatore, M. A., Liang, X., Brossard, D., Scheufele, D. A., & Xenos, M. A. (2017). Analyzing public sentiments online: Combining human- and computer-based content analysis. Information, Communication & Society, 20(3), 406–427. https://doi.org/10.1080/1369118X.2016.1182197
  • Su, Y., Hu, J., & Lee, D. K. L. (2020). Delineating the transnational network agenda-setting model of mainstream newspapers and twitter: A machine-learning approach. Journalism Studies, 21(15), 2113–2134. https://doi.org/10.1080/1461670X.2020.1812421
  • Towner, T. L., & Dulio, D. A. (2012). New media and political marketing in the United States: 2012 and beyond. Journal of Political Marketing, 11(1–2), 95–119. https://doi.org/10.1080/15377857.2012.642748
  • van Klingeren, M., Trilling, D., & Möller, J. (2021). Public opinion on Twitter? How vote choice and arguments on Twitter comply with patterns in survey data, evidence from the 2016 Ukraine referendum in the Netherlands. Acta Politica, 56(3), 436–455. https://doi.org/10.1057/s41269-020-00160-w
  • Vargo, C. J., & Guo, L. (2017). Networks, big data, and intermedia agenda-setting: An analysis of traditional, partisan, and emerging online US news. Journalism & Mass Communication Quarterly, 94(4), 1031–1055. https://doi.org/10.1177/1077699016679976
  • Vargo, C. J., Guo, L., McCombs, M., & Shaw, D. L. (2014). Network issue agendas on Twitter during the 2012 U.S. presidential election. Journal of Communication, 64(2), 296–31. https://doi.org/10.1111/jcom.12089
  • Walgrave, S., Lefevere, J., & Tresch, A. (2012). The associative dimension of issue ownership. Public Opinion Quarterly, 76(4), 771–782. https://doi.org/10.1093/poq/nfs023
  • Wood, B. D., & Vedlitz, A. (2007). Issue definition, information processing, and the politics of global warming. American Journal of Political Science, 51(3), 552–568. https://doi.org/10.1111/j.1540-5907.2007.00267.x

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