Abstract
When Downs [1] proposed his famous issue-attention cycle in 1972, he thought that the mass media would report news and information that arouses people’s interests. This thought, however, is prone to challenges. With the prevalence of the Internet and, perhaps more importantly, the concept of Web 2.0, Wikipedia becomes another major source of information for the public. Given that Wikipedia allows anyone to edit the content, the details about a particular event or issue on pages of Wikipedia can be considered as a quasi-public agenda. Understanding this quasi-public agenda may help us evaluate different models of policy cycles, including the Downs’ famous issue-attention cycle. My study aims to assess the agenda setting dynamics among 5 major news outlets in the UK, as the traditional mass media, and Wikipedia, as a form of participatory journalism. By agenda, it refers to the choices of frames and sentiment. Using text mining techniques, my study assesses the choices of frames and sentiment adopted by the articles of the news outlets and the Wikipedia pages concerning with the issue Brexit. The timeline of the study is between the date when the Wikipedia page “Brexit” emerged and the date of the Brexit referendum. The study also explores the possible relationship between these agendas. Frame analysis of the news articles will be conducted through automatic text classification, whereas the frames on the Wikipedia pages will be analyzed through both text classification and clustering. Lexicon-based approach will be used for sentiment analysis. The relationship between the agendas will be explored through Granger-causality tests.
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References
Downs, A.: Up and down with ecology: the issue-attention cycle. Polit. Am. Econ. Policy Mak. 48 (1996)
Baumgartner, F.R., Jones, B.D.: Agendas and instability in American politics. University of Chicago Press, Chicago (2010)
Howlett, M.: Issue-attention and punctuated equilibria models reconsidered: an empirical examination of the dynamics of agenda-setting in Canada. Can. J. Polit Sci. 30(01), 3–29 (1997)
Beckett, C.: Deliberation, distortion and dystopia: the news media and the referendum (2016). http://www.referendumanalysis.eu/eu-referendum-analysis-2016/section-4/deliberation-distortion-and-dystopia-the-news-media-and-the-referendum/
Rowinski, P.: Mind the gap: the language of prejudice and the press omissions that led a people to the precipice (2016). http://www.referendumanalysis.eu/eu-referendum-analysis-2016/section-4/mind-the-gap-the-language-of-prejudice-and-the-press-omissions-that-led-a-people-to-the-precipice/
Fenton, N.: Brexit: inequality, the media and the democratic deficit (2016). http://www.referendumanalysis.eu/eu-referendum-analysis-2016/section-4/brexit-inequality-the-media-and-the-democratic-deficit/
Barnett, S.: How our mainstream media failed democracy (2016). http://www.referendumanalysis.eu/eu-referendum-analysis-2016/section-4/how-our-mainstream-media-failed-democracy/
Bowman, S., Willis, C.: We Media: How Audiences are Shaping the Future of News and Information. The Media Center at The American Press Institute, Arlington (2003)
Lih, A. (2004). Wikipedia as participatory journalism: reliable sources? Metrics for evaluating collaborative media as a news resource. Nature
Entman, R.M.: Punctuating the homogeneity of institutionalized news: abusing prisoners at Abu Ghraib versus killing civilians at Fallujah. Polit. Commun. 23, 215–224 (2006)
McCombs, M.E., Shaw, D.L.: The agenda-setting function of mass media. Public Opin. Q. 36, 176–187 (1972)
Baker, C.E.: Advertising and a Democratic Press. Oxford University Press, New York (1994)
Bennett, W.L.: News: The Politics of Illusion, 7th edn. Pearson, New York (2007)
Anderson, C.W.: Deliberative, agonistic, and algorithmic audiences: journalism’s vision of its public in an age of audience transparency. Int. J. Commun. 5, 529–547 (2011)
Harcup, T., O’neill, D.: What is news? Galtung and Ruge revisited. Journal. Stud. 2(2), 261–280 (2001)
Lasica, J.D.: Blogs and journalism need each other. Nieman Rep. 57(3), 70–74 (2003)
Gillmor, D.: Moving toward participatory journalism. Nieman Rep. 57(3), 79–80 (2003)
Lodge, M., Hood, C.: Pavlovian policy responses to media feeding frenzies? Dangerous dogs regulation in comparative perspective. J. Conting. Crisis Manag. 10(1), 1–13 (2002)
Altaweel, M., Bone, C.: Applying content analysis for investigating the reporting of water issues. Comput. Environ. Urban Syst. 36(6), 599–613 (2012)
Talamini, E., Caldarelli, C.E., Wubben, E.F., Dewes, H.: The composition and impact of stakeholders’ agendas on US ethanol production. Energy Policy 50, 647–658 (2012)
Talamini, E., Dewes, H.: The macro-environment for liquid biofuels in Brazilian science and public policies. Sci. Public Policy 39, 13–29 (2012)
Talamini, E., Wubben, E.F., Dewes, H.: The macro-environment for liquid biofuels in german science, mass media and government. Rev. Eur. Stud. 5(2), 33 (2013)
MacQueen, J.: Some methods for classification and analysis of multivariate observations. In Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, vol. 1, no. 14, pp. 281–297, June 1967
Quinn, K.M., Monroe, B.L., Colaresi, M., Crespin, M.H., Radev, D.R.: How to analyze political attention with minimal assumptions and costs. Am. J. Polit. Sci. 54(1), 209–228 (2010)
Boussalis, C., Coan, T.G.: Text-mining the signals of climate change doubt. Glob. Environ. Change 36, 89–100 (2016)
Grimmer, J.: A Bayesian hierarchical topic model for political texts: measuring expressed agendas in senate press releases. Polit. Anal. 18(1), 1–35 (2010)
Silva, M.J., Carvalho, P., Sarmento, L., de Oliveira, E., Magalhaes, P.: The design of OPTIMISM, an opinion mining system for Portuguese politics. In: New Trends in Artificial Intelligence: Proceedings of EPIA, pp. 12–15 (2009)
Thomas, M., Pang, B., Lee, L.: Get out the vote: determining support or opposition from congressional floor-debate transcripts. In Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing, pp. 327–335. Association for Computational Linguistics, July 2006
Taddy, M.: Measuring political sentiment on twitter: factor optimal design for multinomial inverse regression. Technometrics 55(4), 415–425 (2013)
Malouf, R., Mullen, T.: Taking sides: user classification for informal online political discourse. Internet Res. 18(2), 177–190 (2008)
Godbole, N., Srinivasaiah, M., Skiena, S.: Large-scale sentiment analysis for news and blogs. ICWSM 7(21), 219–222 (2007)
Balahur, A., et al.: Sentiment analysis in the news. arXiv preprint arXiv:1309.6202 (2013)
Dang-Xuan, L., Stieglitz, S., Wladarsch, J., Neuberger, C.: An investigation of influentials and the role of sentiment in political communication on twitter during election periods. Inf. Commun. Soc. 16(5), 795–825 (2013)
Park, S.J., Lim, Y.S., Sams, S., Nam, S.M., Park, H.W.: Networked politics on Cyworld: the text and sentiment of Korean political profiles. Soc. Sci. Comput. Rev. 29(3), 288–299 (2011)
Tumasjan, A., Sprenger, T.O., Sandner, P.G., Welpe, I.M.: Predicting elections with twitter: what 140 characters reveal about political sentiment. ICWSM 10, 178–185 (2010)
Lim, J.: A cross-lagged analysis of agenda setting among online news media. Journal. Mass Commun. Q. 83(2), 298–312 (2006)
Dotson, D.M., Jacobson, S.K., Kaid, L.L., Carlton, J.S.: Media coverage of climate change in Chile: a content analysis of conservative and liberal newspapers. Environ. Commun. J. Nat. Cult. 6(1), 64–81 (2012)
Meraz, S.: Is there an elite hold? Traditional media to social media agenda setting influence in blog networks. J. Comput. Mediat. Commun. 14(3), 682–707 (2009)
Wu, Y., Atkin, D., Lau, T.Y., Lin, C., Mou, Y.: Agenda setting and micro-blog use: an analysis of the relationship between Sina Weibo and newspaper agendas in China. J. Soc. Media Soc. 2(2), 8–25 (2013)
Ali, S.R., Fahmy, S.: Gatekeeping and citizen journalism: the use of social media during the recent uprisings in Iran, Egypt, and Libya. Media War Confl. 6(1), 55–69 (2013)
Messner, M., Garrison, B.: Study shows some blogs affect traditional news media agendas. Newsp. Res. J. 32(3), 112–126 (2011)
Grimmer, J., Stewart, B.M.: Text as data: the promise and pitfalls of automatic content analysis methods for political texts. Polit. Anal. 21(3), 267–297 (2013)
Porter, M.F.: An algorithm for suffix stripping. Program 14(3), 130–137 (1980)
Pang, B., Lee, L.: Opinion mining and sentiment analysis. Found. Trends Inf. Retr. 2(1–2), 1–135 (2008)
Granger, C.W.: Investigating causal relations by econometric models and cross-spectral methods. Econom. J. Econom. Soc. 424–438 (1969)
Lee, S.Y.L., Gholami, R., Tong, T.Y.: Time series analysis in the assessment of ICT impact at the aggregate level–lessons and implications for the new economy. Inf. Manag. 42(7), 1009–1022 (2005)
Luo, X., Zhang, J., Duan, W.: Social media and firm equity value. Inf. Syst. Res. 24(1), 146–163 (2013)
Dutta, A.: Telecommunications and economic activity: an analysis of Granger causality. J. Manag. Inf. Syst. 17(4), 71–95 (2001)
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Lee, P.T.Y. (2018). In Search of Public Agenda with Text Mining: An Exploratory Study of Agenda Setting Dynamics Between the Traditional Media and Wikipedia. In: Ganji, M., Rashidi, L., Fung, B., Wang, C. (eds) Trends and Applications in Knowledge Discovery and Data Mining. PAKDD 2018. Lecture Notes in Computer Science(), vol 11154. Springer, Cham. https://doi.org/10.1007/978-3-030-04503-6_30
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