1887
Volume 2, Issue 1
  • ISSN 2452-0063
  • E-ISSN: 2452-0071
GBP
Buy:£15.00 + Taxes

Abstract

As an application study of the network agenda-setting model, this study examines how the media and public network agendas can differ, based on which political candidate was mentioned along with the immigration issue in news coverage and in public tweets. Through network analyses, this study shows that there were differences in the salient attributes of the immigration issue, and that the dominant narrative structure of the issue depended on which political candidate was mentioned.

Loading

Article metrics loading...

/content/journals/10.1075/asj.17009.kim
2018-03-29
2018-12-19
Loading full text...

Full text loading...

References

  1. Batrinca, B. , & Treleaven, P. C.
    (2015) Social media analytics: A survey of techniques, tools, and platforms. AI & Soc, 30, 89–116. doi: 10.1007/s00146‑014‑0549‑4
    https://doi.org/10.1007/s00146-014-0549-4 [Google Scholar]
  2. Bennett, W. L. , & Segerberg, A.
    (2012) The logic of connective action: Digital media and the personalization of contentious politics. Information, Communication & Society, 15, 739–768. doi: 10.1080/1369118X.2012.670661
    https://doi.org/10.1080/1369118X.2012.670661 [Google Scholar]
  3. Borgatti, S. P. , Everett, M. G. , & Freeman, L. C.
    (2002) Ucinet for Windows: Software for social network analysis. Harvard, MA: Analytic Technologies.
    [Google Scholar]
  4. Bruns, A. , & Burgess, J. E.
    (2011) #Ausvotes: how Twitter covered the 2010 Australian federal election. Communication, Politics and Culture, 44, 37–56.
    [Google Scholar]
  5. Chadwick, A.
    (2010) The political information cycle in a hybrid news system: The British prime minister and the “bullygate” affair. The International Journal of Press/Politics, 16, 3–29. doi: 10.1177/1940161210384730
    https://doi.org/10.1177/1940161210384730 [Google Scholar]
  6. Fadigas, I. S. , & Pereira, H. B. B.
    (2013) A network approach based on cliques. Physica A: Statistical Mechanics and Its Applications, 392, 2576–2587. doi: 10.1016/j.physa.2013.01.055
    https://doi.org/10.1016/j.physa.2013.01.055 [Google Scholar]
  7. Freeman, L. C.
    (1978/79) Centrality in social networks conceptual clarification. Social Networks, 1, 215–239. doi: 10.1016/0378‑8733(78)90021‑7
    https://doi.org/10.1016/0378-8733(78)90021-7 [Google Scholar]
  8. Guo, L.
    (2012) The application of social network analysis in agenda setting research: A methodological exploration. Journal of Broadcasting & Electronic Media, 56, 616–631. doi: 10.1080/08838151.2012.732148
    https://doi.org/10.1080/08838151.2012.732148 [Google Scholar]
  9. 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, 557–576. doi: 10.1080/15205436.2015.1045300
    https://doi.org/10.1080/15205436.2015.1045300 [Google Scholar]
  10. Jamali, M. , & Abolhassani, H.
    (2006) Different aspects of social network analysis. InProceedings of 2006 IEEE/WIC/ACM International Conference on Web Intelligence (pp.66–72). Hong Kong: IEEE. doi: 10.1109/WI.2006.61
    https://doi.org/10.1109/WI.2006.61 [Google Scholar]
  11. Kim, J. , & Min, Y.
    (2016) An issue attention cycle analysis of network agenda-setting model: A case study of the nuclear issue in South Korea. In L. Guo & M. E. McCombs (Eds.), The power of information networks: New directions for agenda-setting (pp.132–143). NY: Routledge.
    [Google Scholar]
  12. King, G. , Schneer, B. , & White, A.
    (2017) How the news media activate public expression and influence national agendas. Science, 358, 776–780. doi: 10.1126/science.aao1100
    https://doi.org/10.1126/science.aao1100 [Google Scholar]
  13. Lombard, M. , Snyder-Duch, J. , & Bracken, C. C.
    (2010) Practical resources for assessing and Reporting intercoder reliability in content analysis research projects. Retrieved frommatthewlombard.com/reliability/
  14. McCombs, M. E. , Llamas, J. P. , Lopez-Escobar, E. , & Rey, F.
    (1997) Candidate images in Spanish elections: Second-level agenda-setting effects. Journalism & Mass Communication Quarterly, 74, 703–717. doi: 10.1177/107769909707400404
    https://doi.org/10.1177/107769909707400404 [Google Scholar]
  15. McCombs, M. E. , & Shaw, D. L.
    (1972) Agenda-setting function of mass media. Public Opinion Quarterly, 36, 176–187. doi: 10.1086/267990
    https://doi.org/10.1086/267990 [Google Scholar]
  16. 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, 682–707. doi: 10.1111/j.1083‑6101.2009.01458.x
    https://doi.org/10.1111/j.1083-6101.2009.01458.x [Google Scholar]
  17. Meraz, S. , & Papacharissi, Z.
    (2013) Networked gatekeeping and networked framing on #Egypt. The International Journal of Press/Politics, 18, 138–166. doi: 10.1177/1940161212474472
    https://doi.org/10.1177/1940161212474472 [Google Scholar]
  18. Neuman, W. R. , Guggenheim, L. , Jang, S. M. , & Bae, S. Y.
    (2014) The dynamics of public attention: Agenda-setting theory meets big data. Journal of Communication, 64, 193–214. doi: 10.1111/jcom.12088
    https://doi.org/10.1111/jcom.12088 [Google Scholar]
  19. Papacharissi, Z.
    (2015) Affective publics and structures of storytelling: Sentiment, events and mediality. Information, Communication, & Society, 19, 307–324. doi: 10.1080/1369118X.2015.1109697
    https://doi.org/10.1080/1369118X.2015.1109697 [Google Scholar]
  20. Parmelee, J. H. , & Bichard, S. L.
    (2012) Politics and the Twitter revolution: How tweets influence the relationship between political leaders and the public. Lanham, MD: Lexington Books.
    [Google Scholar]
  21. Peoples, S.
    (2016, October31). Policy prescriptions: Trump and Clinton on immigration. The Washington Times. RetrievedMarch 30, 2017fromwww.washingtontimes.com/news/2016/oct/31/policy-prescriptions-trump-and-clinton-on-immigrat/
    [Google Scholar]
  22. Petrocik, J. R.
    (1996) Issue ownership and presidential elections, with a 1980 case study. American Journal of Political Science, 40, 825–850. doi: 10.2307/2111797
    https://doi.org/10.2307/2111797 [Google Scholar]
  23. Pew Research Center
    Pew Research Center (2016, July7) 2016 Campaign: Strong interest, widespread dissatisfaction. RetrievedMarch 30, 2017fromwww.people-press.org/2016/07/07/4-top-voting-issues-in-2016-election/
  24. Shirky, C.
    (2011) The political power of social media: Technology, the public sphere, and political change. Foreign Affairs, 90, 28–41.
    [Google Scholar]
  25. Tumasjan, A. , Sprenger, T. , Sandner, P. , & Welpe, I.
    (2010) Predicting elections with Twitter: What 140 characters reveal about political sentiment. Presented at the International AAAI Conference on Web and Social Media , Washington, DC.
    [Google Scholar]
  26. Valverdo, M.
    (2016, July15). Compare the candidates: Clinton vs. Trump on immigration. Politifact. RetrievedMarch 30, 2017fromwww.politifact.com/truth-o-meter/article/2016/jul/15/compare-candidates-clinton-vs-trump-immigration/
    [Google Scholar]
  27. Vargo, C. J. , & Guo, L.
    (2017) Networks, big data, and intermedia agenda setting: An analysis of traditional, partisan, and emerging online U.S. news. Journalism & Mass Communication Quarterly, 94, 1031–1055. doi: 10.1177/1077699016679976
    https://doi.org/10.1177/1077699016679976 [Google Scholar]
  28. Vargo, C. J. , Guo, L. , & Amazeen, M. A.
    (2017) The agenda-setting power of fake news: Online media landscape from 2014 to 2016. New Media & Society. Advance online publication. doi: 10.1177/1461444817712086
    https://doi.org/10.1177/1461444817712086 [Google Scholar]
  29. Vargo, C. J. , Guo, L. , McCombs, M. E. , & Shaw, D. L.
    (2014) Network issue agendas on Twitter during the 2012 U.S. presidential election. Journal of Communication, 64, 296–316. doi: 10.1111/jcom.12089
    https://doi.org/10.1111/jcom.12089 [Google Scholar]
  30. Wallsten, K.
    (2007) Agenda setting and the blogosphere: An analysis of the relationship between mainstream media and political blogs. Review of policy Research, 24, 567–587. doi: 10.1111/j.1541‑1338.2007.00300.x
    https://doi.org/10.1111/j.1541-1338.2007.00300.x [Google Scholar]
  31. Wasserman, S. , & Faust, K.
    (1994) Social network analysis: Methods and applications. Cambridge: Cambridge University Press. doi: 10.1017/CBO9780511815478
    https://doi.org/10.1017/CBO9780511815478 [Google Scholar]
  32. Weaver, D. , McCombs, M. , & Shaw, D. L.
    (2004) Agenda-setting research: Issues, attributes, and influences. In L. L. Kaid (Ed.), Handbook of political communication research (pp.257–282). Mahwah, NJ: Erlbaum.
    [Google Scholar]
  33. West, J.
    (2016, September5). Immigration is dominating the election conversation on Twitter. The Washington Post. RetrievedMarch 31, 2017fromhttps://www.washingtonpost.com/news/post-politics/wp/2016/09/05/immigration-is-dominating-the-election-conversation-on-twitter/?utm_term=.db619dfd5536
    [Google Scholar]
  34. Wu, H. D. , & Guo, L.
    (2017) Beyond salience transmission: Linking agenda networks between media and voters. Communication Research. Advance online publication. doi: 10.1177/0093650217697765
    https://doi.org/10.1177/0093650217697765 [Google Scholar]
http://instance.metastore.ingenta.com/content/journals/10.1075/asj.17009.kim
Loading
/content/journals/10.1075/asj.17009.kim
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was successful
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error