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2014 | 13 | 134-153

Article title

Semantic Networks Analysis of Political Party Platforms.: Coalition Prediction Based on Semantic Distances in Scottish Elections 1999–2011

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EN

Abstracts

EN
This paper conducts a semantic network analysis of Scottish political party manifestos from the 1999, 2003, 2007 and 2011 elections to predict coalition formation. A manifesto is a tool of political communication that represents a party’s ideology and discusses issues considered crucial for each election. Semantic analysis of party manifestos represents an innovative method for examining the relations among political parties. Parties that are closer in the semantic network have a greater potential to form political coalitions. Semantic distances and two-mode semantic network analysis also proved to be a viable method for describing a country’s political climate and power structure, without requiring prior knowledge of country’s political makeup, and without pre-conceived notions. The results indicate that a semantic analysis of political party manifestos can be used to predict coalitions, but factors other than semantic similarity must be considered. Semantic network analysis provides an accurate picture of the distribution of power and centrality of issues for any given election.

Contributors

  • Ohlone College San Francisco

References

  • Atteveldt von, W., Kleinnijenhuis, J., & Ruigrok, N. (2008). Parsing, Semantic Networks, and Political Authority: Using Syntactic Analysis to Extract Semantic Relations from Dutch Newspaper Articles. Political Analysis, 16, 428–446
  • Bаäck, H. (2003). Explaining and predicting coalition outcomes: Conclusions from studying data on local coalitions. European Journal of Political Research, 42, 441–472
  • Bonacich, P. (1972). Factoring and Weighting Approaches to Status Scores and Cliques Identification. Journal of Mathematical Sociology, 2, 113–120
  • Borgatti, S.P., Everett, M.G. & Freeman L. C. (1999). Ucinet 5 for Windows: Software for Social Network Analysis. Natick: Analytical Technologies
  • Budge, I. (2001). Validating the Manifesto Research Group Approach. In Estimating the Policy Positions of Political Actors, Michael Laver (Ed.) (pp. 50–66). London: Routledge
  • Burnside, R., Herbert, S., & Curtis, S. (2003). Election 2003, Scottish Information Centre (SPICe), 03/25
  • Carley, K.M. (1993). Coding choices for textual analysis: A comparison of content analysis and map analysis. Sociological Methodology, 23, 75–126
  • Danowski, J.A. (1982). Computer-mediated communication: A network-based content analysis using a CBBS conference. In M. Burgoon (Ed.), Communication yearbook 6 (pp. 905–924). Beverly Hills, CA: Sage.
  • Doerfel, M.L. (1998). What constitutes semantic network analysis? A comparison of research and methodologies. Connections, 21, 16–26
  • Doerfel, M.L., & Barnett, G.A. (1999). A semantic network analysis of the International Communication Association. Human Communication Research, 25, 589–603
  • Doerfel, M.L., & Connaughton, S.L. (2009). Semantic networks and competition: Election year winners and losers in U.S. televised presidential debates, 1960–2004. Journal of the American Society for Information and Science Technology, 60, 201–218
  • Doerfel, M.L., & Marsh, P.S. (2003). Candidate-issue positioning in the presidential debates. Journal of Applied Communication, 31, 212–237
  • Fowler, J.H., Heaney, M.T., Nickerson, D.W., Padgett, J.F., Sinclair, B. (2011). Causality in political networks. American Politics Research, 39, 437–480
  • Gabel, M., & Huber, J. (2000). Putting Parties in Their Place: Inferring Party Left-Right Ideological Positions from Party Manifesto Data. American Journal of Political Science, 44, 94–103
  • Herbert, S., Burnside, R., Earle, M., Edwards, T., Foley, T., & McIver, I. (2007). Election 2007, Scottish Parliament Information Centre (SPICe), 07/21
  • Jang, H., Barnett, G.A., (1994). Cultural Differences in organizational communication: A semantic network analysis, Bulletin de Methodologie Sociologique 44, 31–59
  • Kimber, R. Political Science Resources. Retrieved from http://www.politicsresources.net, Last Modified: 28 May 2011
  • Klebanov Beigman, B., Diermeier, D., & Beigman, E. (2008). Lexical cohesion analysis of political speech. Political Analysis, 16, 447–463
  • Kwon, K., Barnett, G.A., Chen, C. (2009). Assessing Cultural Differences in Translations: A Semantic Network Analysis of the Universal Declaration of Human Rights. Journal of International and Intercultural Communication, 2, 107–138
  • Laffin, M., Shaw, E., & Taylor, G., (2004). Devolution and Party Organisation in Britain: How Devolution has changed the Scottish and Welsh Labour Parties. ESRC Research programme on Devolution and Constitutional Change
  • Laver, M.J., & Budge, I. (1992). Measuring Policy Distances and Modeling Coalition Formation. In M.J. Laver & I. Budge (Eds.) Party Policy and Government Coalitions. (pp. 15–41). New York, NY: St. Martin’s Press
  • Laver, M.J., & Shofield, N. (1998). Multiparty government: The Politics of Coalition in Europe. Ann Arbor, MI: University of Michigan Press
  • Laver, M.J., & Garry, J. (2000). Estimating Policy Positions from Political Texts. American Journal of Political Science, 44(3), 619–634
  • Laver, M.J., Benoit, K., & Garry, J. (2003). Extracting policy positions from political texts using words as data. American Political Science Review, 97, 311–331
  • McCombs, M.E., & Shaw, D.L. (1972). The agenda-setting function of the mass media. Public Opinion Quarterly, 36(2), 176–187
  • McNair, B. (2003). An Introduction to Political Communication. London, Routledge
  • Meraz, S.A. (2008). The networked political blogosphere and mass media: Understanding how agendas are formed, framed, and transferred in the emerging new media environment. Dissertation Abstracts International Section A: Humanities and Social Sciences 68: 12-A, 4905. www.proquest.umi.com
  • Nabi, R.L., & Oliver, M.B. (2010). Mass Media Effects. In C.R. Berger, M.E. Roloff & D.R. Roskos-Ewoldsen (Eds.), Communication Science (pp. 255–271). Thousand Oaks: Sage
  • Pogorelis, R., Maddens, B., Swenden, W., & Fabre, E. (2005). Issue Salience in Regional and National Party Manifestos in the UK. West European Politics, 28(5), 992–1014
  • Volkens, A. (2001). Manifesto Research since 1979: From Reliability to Validity. In Estimating the Policy Positions of Political Actors, ed. Michael Laver. London: Routledge
  • 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
  • Woelfel, J. & Fink, E.L. (1980). The Measurement of communication processes: Galileo theory and method. New York: Academic Press
  • Woelfel, J. (1997). Attitudes as nonhierarchical clusters in neural networks. In G.A. Barnett & F. Boster (Eds.), Progress in communication sciences 13 (pp. 213– 227). Norwood, NJ: Ablex Publishing
  • Woelfel, J., & Stoyanoff, N.J. (2007). The Galileo System: A rational alternative to the dominant paradigm for social science research. In M. Hinner (Ed.), Freibergerbeiträge zur interkulturellen und wirtschaftskommunikation: A forum for general and Intercultural business communication. Vol. 3. The role of communication in business transactions and relationships (pp. 433–462). Berlin: Peter Lang

Notes

PL
Instytucje i dyskursy w procesie badawczym

Document Type

Publication order reference

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YADDA identifier

bwmeta1.element.desklight-a07f74a5-f343-4ad2-aa87-684a459472ff
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