Abstract
Social media has become a popular tool in the political landscape. As a result, it is of increased importance to evaluate social media campaigns of politicians. However, there is currently little knowledge how to measure and evaluate the influence of social media in political campaigns, especially at the local scale. This chapter is a step further towards the development of a theoretical framework and an algorithm that contributes to more reliable impact measurement of social media campaigns by politicians. The Social Media Indicator-2 framework and a related scoring algorithm are introduced to evaluate the influence of individual political candidates via social media on their social environment. The framework is tested by applying it in an empirical pilot study based on the local 2014 municipal elections in the Netherlands. We collected data for the political candidates and their parties in a pre-defined period and were able to relate scores to voting outcome. Positive correlations were revealed between social media contribution scores of politicians and their preference votes within the province of Overijssel in the Netherlands.
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Notes
- 1.
Application Programming Interfaces, open, public or semi-open interfaces to access functions with a programming language for accessing social data from the social media databases.
- 2.
Application Programming Interfaces.
References
Bayraktutan, G., Binark, M., Çomu, T., Doğu, B., İslamoğlu, G., & Telli Aydemir, A. (2014). The use of Facebook by political parties and leaders in the 2011 Turkish general elections. In B. Pătruţ & M. Pătruţ (Eds.), Social media in politics (Vol. 13, pp. 165–199). New York: Springer.
Berthon, P. R., Pitt, L. F., Plangger, K., & Shapiro, D. (2012). Marketing meets Web 2.0, social media, and creative consumers: Implications for international marketing strategy. Business Horizons, 55(3), 261–271.
Bonsón, E., Torres, L., Royo, S., & Flores, F. (2012). Local e-government 2.0: Social media and corporate transparency in municipalities. Government Information Quarterly, 29(2), 123–132.
Bottles, K., & Sherlock, T. (2011). Who should manage your social media strategy? Physician Executive, 37(2), 68–72.
Boyd, D. M., & Ellison, N. B. (2008). Social network sites: Definition, history, and scholarship. Journal of Computer-Mediated Communication, 13(1), 210–230.
Christakis, N. A., & Fowler, J. H. (2009). Connected: The surprising power of our social networks and how they shape our lives. New York: Little Brown and Company.
D’heer, E., & Verdegem, P. (2014). An intermedia understanding of the networked twitter ecology. In B. Pătruţ & M. Pătruţ (Eds.), Social media in politics (Vol. 13, pp. 81–96). New York: Springer.
Deželan, T., Vobič, I., & Maksuti, A. (2014). Twitter campaigning in the 2011 national election in Slovenia. In B. Pătruţ & M. Pătruţ (Eds.), Social media in politics (Vol. 13, pp. 141–163). New York: Springer.
Di Fraia, G., & Missaglia, M. (2014). The use of Twitter in 2013 Italian political election. In B. Pătruţ & M. Pătruţ (Eds.), Social media in politics (Vol. 13, pp. 63–77). New York: Springer.
Dylko, I., & McCluskey, M. (2012). Media effects in an era of rapid technological transformation: A case of user-generated content and political participation. Communication Theory, 22(3), 250–278.
Edwards, C., Spence, P. R., Gentile, C. J., Edwards, A., & Edwards, A. (2013). How much Klout do you have. A test of system generated cues on source credibility. Computers in Human Behavior, 29(5), A12–A16.
Effing, R., Van Hillegersberg, J., & Huibers, T. W. C. (2011). Social media and political participation: Are Facebook, Twitter and YouTube democratizing our political systems? In Electronic participation: Proceedings of the Third IFIF WG 8.5 International Conference ePart 2011 (Vol. 6847, pp. 25–35). Delft, The Netherlands: Springer.
Effing, R., Van Hillegersberg, J., & Huibers, T. W. C. (2013). Social media participation and local politics: A case study of the Enschede council in the Netherlands. In Proceedings of Electronic Participation, ePart 2013 (pp. 57–68). Koblenz, Germany: Springer.
Goode, P. (2013). The value of data in an evolving digital world. Retrieved from http://www.comscore.com/Insights/Presentations_and_Whitepapers/2013/The_value_of_data_in_an_evolving_digital_world
Grönlund, Å. (2009). ICT is not participation is not democracy—eParticipation development models revisited. In A. Macintosh & E. Tambouris (Eds.), Electronic participation: First international conference, ePart 2009 (pp. 12–23). Berlin, Germany: Springer.
Hoffman, D., & Fodor, M. (2010). Can you measure the ROI of your social media marketing? MITSLoan Management Review, 52(1), 41–49. Retrieved November 6, 2013, from http://www.emarketingtravel.net/resources/can you measure the ROI of your Social media marketing.pdf
Jungherr, A. (2012). Online campaigning in Germany: The CDU online campaign for the general election 2009 in Germany. German Politics, 21(3), 317–340.
Kaplan, A. M., & Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of social media. Business Horizons, 53, 59–68.
Lipsman, A., Lella, A., & Dreyer, K. (2014). U.S. digital future in focus 2014. Whitepaper comScore, comScore. Retrieved from http://www.comscore.com/dut/Insights/Press-Releases/2014/4/comScores-Latest-White-Paper-2014-US-Digital-Future-in-Focus-Available-for-Download
Macintosh, A., & Smith, E. (2002). Citizen participation in public affairs. In R. Traunmueller & K. Lenk (Eds.), Proceedings of Electronic Government (pp. 256–263). Berlin, Germany: Springer.
Medaglia, R. (2007). Measuring the diffusion of eParticipation: A survey on Italian local government. Information Polity, 12, 265–280.
Montero, M. D. (2009). Political e-mobilisation and participation in the election campaigns of Ségolène Royal (2007) and Barack Obama (2008). Quaderns del CAC, 33, 27–34.
Nielsen. (2012). State of the media: The social media report 2012 (Public report Nielsen, New York). Retrieved from http://www.nielsen.com/us/en/insights/reports/2012/state-of-the-media-the-social-media-report-2012.html
Peters, K., Chen, Y., Kaplan, A. M., Ognibeni, B., & Pauwels, K. (2013). Social media metrics—A framework and guidelines for managing social media. Journal of Interactive Marketing, 27(4), 281–298.
Ren, J., & Meister, H. P. (2010). Drawing lessons from Obama for the European context. The International Journal of Public Participation, 4(1), 12–30.
Rustad, E., & Sæbø, Ø. (2013). How, why and with whom do local politicians engage on Facebook? In M. A. Wimmer, E. Tambouris, & A. Macintosh (Eds.), Electronic participation: 5th IFIP WG 8.5 International Conference, ePart 2013 (pp. 69–79). Berlin, Germany: Springer. Retrieved June 18, 2014, from http://link.springer.com/chapter/10.1007/978-3-642-40346-0_7
Sommer, L., & Cullen, R. (2009). Participation 2.0: A case study of e-participation within the New Zealand Government. In R. H. Sprague (Ed.), Proceeding of 42nd Hawaii International Conference on System Sciences 2009 (pp. 1–9). Piscataway, NJ: IEEE.
Spierings, N., & Jacobs, K. (2012). Marginal, but significant: The impact of social media on preferential voting. In ECPR Joint Sessions Workshop Parties and Campaigning in the Digital Era, 10–15 April 2012, Antwerp.
Sponder, M. (2012). Social media analytics: Effective tools for building, interpreting, and using metrics. New York: McGraw-Hill.
Štětka, V., Macková, A., & Fialová, M. (2014). A winding road from “Likes” to votes. In B. Pătruţ & M. Pătruţ (Eds.), Social media in politics (Vol. 13, pp. 225–244). New York: Springer.
Stieglitz, S., & Dang-Xuan, L. (2012). Social media and political communication: A social media analytics framework. Social Network Analysis and Mining, 3(4), 1277–1291.
Van der Veer, N., & Boekkee, S. (2014). Social media in perspectief: Whitepaper nationale social media onderzoek 2014. Public whitepaper. Enschede, The Netherlands: Newcom. Retrieved from http://www.newcom.nl/socialmedia
Vitak, J. (2012). The impact of context collapse and privacy on social network site disclosures. Journal of Broadcasting & Electronic Media, 56(4), 451–470. Retrieved November 6, 2013, from http://www.tandfonline.com/doi/abs/10.1080/08838151.2012.732140
Withaar, R. J., Ribeiro, G. F., & Effing, R. (2013). The social media indicator 2: Towards a software tool for measuring the influence of social media. In M. A. Wimmer, M. Janssen, A. Macintosh, H. J. Scholl, & E. Tambouris (Eds.), Joint Proceedings of Ongoing Research of IFIP EGOV and IFIP ePart 2013: Lecture Notes in Informatics (LNI), Koblenz, Germany (pp. 200–207).
Acknowledgments
The research projects mentioned in this chapter are initiated, supported, and funded by the Social Indicator Consortium as a collaborative project from Saxion University of Applied Sciences, University of Twente and eLabbs in Enschede, The Netherlands.
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Effing, R., van Hillegersberg, J., Huibers, T. (2016). Social Media Indicator and Local Elections in the Netherlands: Towards a Framework for Evaluating the Influence of Twitter, YouTube, and Facebook. In: Sobaci, M. (eds) Social Media and Local Governments. Public Administration and Information Technology, vol 15. Springer, Cham. https://doi.org/10.1007/978-3-319-17722-9_15
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DOI: https://doi.org/10.1007/978-3-319-17722-9_15
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