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Intentional Modeling of Social Media Design Knowledge for Government-Citizen Communication

  • Conference paper
Analysis of Social Media and Ubiquitous Data (MUSE 2010, MSM 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6904))

Abstract

Social media can be employed as powerful tools for enabling broad participation in public policy making. However, variations in the design of a social media technology system can lead to different levels or kinds of engagement, including low participation or polarized interchanges. An effective means toward learning of and analyzing the complex motivations, expectations, and actions among various actors in political communication can help designers create satisfactory social media systems.

This paper uses the i* modeling framework to analyze the impact that alternative configurations of a social media technology can have on the goals and relationships of the actors involved. In doing so, we demonstrate and provide preliminary validation for a research-informed model creation and analysis approach to assessing competing design alternatives in an online climate change debate community.

This is an extended version of a paper [19] presented at the First International Workshop on Modeling Social Media, held in 2010.

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References

  1. The climate collaboratorium, http://www.climatecollaboratorium.org

  2. Ahmed, S.: Encouraging reuse of design knowledge: a method to index knowledge. Design Studies 26(6), 565–592 (2005), http://linkinghub.elsevier.com/retrieve/pii/S0142694X05000177

    Article  Google Scholar 

  3. Bhatia, V.K.: Democratizing government decision-making: A study of public discourse in Hong Kong. Journal of Pragmatics (1997)

    Google Scholar 

  4. Bruns, A.: Life beyond the public sphere: Towards a networked model for political deliberation. Information Polity 13(1), 71–85 (2008)

    Google Scholar 

  5. Chen, H.: AI, E-government, and Politics 2.0. IEEE Intelligent Systems 24(5), 64–86 (2009)

    Article  Google Scholar 

  6. Chung, L., Nixon, B.A., Yu, E., Mylopoulos, J.: Non-functional requirements in software engineering (2000)

    Google Scholar 

  7. Dardenne, A., Van Lamsweerde, A., Fickas, S.: Goal-directed Requirements Acquisition. Science of Computer Programming, 3–50 (1993)

    Google Scholar 

  8. Davies, T.: The Blossoming Field of Online Deliberation. In: Davies, T.R., Peña Gangadharan, S. (eds.) Online Deliberation: Design, Research, and Practice, pp. 1–20. CSLI Publications, San Francisco (2009)

    Google Scholar 

  9. Deaton, B., Lintner, A., Harrington, D.: Evaluating an Environmental Right: Information Disclosure, Public Comment, and Government Decision Making in Ontario. Canadian Journal of Agricultural Economics/Revue Canadienne D’Agroeconomie 56(3), 277–294 (2008)

    Article  Google Scholar 

  10. Donzelli, P., Bresciani, P.: Goal-Oriented Requirements Engineering: A Case Study in E-government. In: Eder, J., Missikoff, M. (eds.) CAiSE 2003. LNCS, vol. 2681, pp. 601–616. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  11. Dunne, K.: Cross Cutting Discussion: A form of online discussion discovered within local political online forums. Information Polity 14(3), 219–232 (2009)

    Google Scholar 

  12. Esfahani, H.C., Yu, E.: A repository of agile method fragments. In: Münch, J., Yang, Y., Schäfer, W. (eds.) ICSP 2010. LNCS, vol. 6195, pp. 163–174. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  13. Esfahani, H.C., Yu, E., Cabot, J.: Situational Evaluation of Method Fragments: An Evidence-Based Goal-Oriented Approach. In: Pernici, B. (ed.) CAiSE 2010. LNCS, vol. 6051, pp. 424–438. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  14. Freyne, J., Jacovi, M., Guy, I., Geyer, W.: Increasing engagement through early recommender intervention. In: Proceedings of the Third ACM Conference on Recommender Systems, pp. 85–92. ACM, New York (2009)

    Google Scholar 

  15. Gelders, D., Cock, R.D., Roe, K., Neijens, P.: The opinion of Belgian government communication professionals on public communication about policy intentions: Pros / cons and conditions. Communication 23(Government Information Quarterly), 281–292 (2006)

    Google Scholar 

  16. Goodin, R.E., Dryzek, J.S.: Deliberative Impacts: The Macro-Political Uptake of Mini-Publics. Politics & Society 34(2), 219–244 (2006)

    Article  Google Scholar 

  17. Grönlund, K., Strandberg, K., Himmelroos, S.: The challenge of deliberative democracy online A comparison of face-to-face and virtual experiments in citizen deliberation. Information Polity 14(3), 187–201 (2009)

    Google Scholar 

  18. Hevner, A., March, S., Park, J., Ram, S.: Design science in information systems research. Mis Quarterly 28(1), 75–105 (2004)

    Google Scholar 

  19. Hilts, A., Yu, E.: Modeling social media support for the elicitation of citizen opinion. In: Proceedings of the First International Workshop on Modeling Social Media, pp. 1–4. ACM, New York (2010)

    Google Scholar 

  20. Horkoff, J., Yu, E.: A Qualitative, Interactive Evaluation Procedure for Goal- and Agent-Oriented Models. In: CAISE Forum. CEUR-WS.org, vol. 453, pp. 19–24 (2009)

    Google Scholar 

  21. Jacoby, W.: Issue framing and public opinion on government spending. American Journal of Political Science 44(4), 750–767 (2000)

    Article  Google Scholar 

  22. Kavanaugh, A., Kim, B., Perez-Quinones, M., Schmitz, J., Isenhour, P.: Net gains in political participation: secondary effects of internet on community. Information, Communication and Society 11(7), 933–963 (2008)

    Article  Google Scholar 

  23. Kolsaker, A., Lee-Kelly, L.: Citizens’ attitudes towards e-government and e-governance: a UK study. International Journal of Public Sector Management 21(6-7), 723–738 (2008)

    Article  Google Scholar 

  24. Leica, M.F.: Scalability concepts for i* modelling and analysis. Master’s thesis, University of Toronto (2005)

    Google Scholar 

  25. Lock, S., Shapiro, R., Jacobs, L.: The impact of political debate on government trust: reminding the public what the Federal government does. Political Behavior 21(3), 239–264 (1999)

    Article  Google Scholar 

  26. Markus, M.: Toward a theory of knowledge reuse: Types of knowledge reuse situations and factors in reuse success. Journal of Management Information Systems 18(1), 57–93 (2001)

    Article  Google Scholar 

  27. Moayerzadeh, A.: A Goal-Oriented Representation of Service-Oriented Software Design Principles. Master’s thesis, University of Toronto (2008)

    Google Scholar 

  28. Muhlberger, P.: Human agency and the revitalization of the public sphere. Political Communication 22(2), 163–178 (2005)

    Article  Google Scholar 

  29. Narro, A.J., Mayo, C., Miller, A.F.: Legislators and constituents: Examining demographics and online communication tools. Information Polity 13, 153–165 (2008)

    Google Scholar 

  30. Oxman, R.E., Planning, T.: Precedents in design: a computational model for the organization of precedent knowledge. Design Studies 15(2), 141–157 (1994)

    Article  Google Scholar 

  31. Park, H., Choi, S.: Focus Group Interviews: The Internet as a Political Campaign Medium. Public Relations Quarterly 47(4), 36–43 (2002)

    Google Scholar 

  32. Pastor, O., Estrada, H., Martínez, A.: Strengths and Weaknesses of the i* framework. In: Yu, E., Giorgini, P., Maiden, N., Mylopoulos, J. (eds.) Social Modeling for Requirements Engineering, pp. 607–643. MIT Press, Cambridge (2011)

    Google Scholar 

  33. Renton, A., Macintosh, A.: Computer-supported argument maps as a policy memory. The Information Society 23(2), 125–133 (2007)

    Article  Google Scholar 

  34. Thaler, R.H., Sunstein, C.R.: Nudge: Improving Decisions About Health, Wealth, and Happiness. Yale University Press, New Haven (2008)

    Google Scholar 

  35. Werneck, V.M.B., Oliveira, A.d.P.A., Leite, J.C.S.d.P.: Comparing GORE Frameworks: i-star and KAOS. In: Workshop em Engenharia de Requisitos (WER 2009), Val Paraiso, Chile (2009)

    Google Scholar 

  36. West, D.: E-government and the transformation of service delivery and citizen attitudes. Public Administration Review 64(1), 15–27 (2004)

    Article  Google Scholar 

  37. Wieringa, R.: Requirements engineering: Problem analysis and solution specification (Extended abstract). In: Koch, N., Fraternali, P., Wirsing, M. (eds.) ICWE 2004. LNCS, vol. 3140, pp. 13–16. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  38. Yu, E.: Social Modeling and i*. In: Borgida, A., Chaudhri, V., Giorgini, P., Yu, E. (eds.) Conceptual Modeling: Foundations and Applications: Essays in Honor of John Mylopoulos, pp. 99–121 (2009)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Faculty of Information, University of Toronto, 140 St. George Street, Toronto, ON

    Andrew Hilts & Eric Yu

Authors
  1. Andrew Hilts
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  2. Eric Yu
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Editor information

Editors and Affiliations

  1. Knowledge and Date Engineering Group, University of Kassel, Wilhelmshöher Allee 73, 34121, Kassel, Germany

    Martin Atzmueller

  2. Data Mining and Information Retrieval Group, University of Würzburg, Am Hubland, 97074, Würzburg, Germany

    Andreas Hotho

  3. Faculty of Computer Science, Graz University of Technology, Inffeldgasse 21a, 8010, Graz, Austria

    Markus Strohmaier

  4. Mobile Social Networking Group, Nokia Research Center, 100176, Beijing, China

    Alvin Chin

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Hilts, A., Yu, E. (2011). Intentional Modeling of Social Media Design Knowledge for Government-Citizen Communication. In: Atzmueller, M., Hotho, A., Strohmaier, M., Chin, A. (eds) Analysis of Social Media and Ubiquitous Data. MUSE MSM 2010 2010. Lecture Notes in Computer Science(), vol 6904. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23599-3_2

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  • DOI: https://doi.org/10.1007/978-3-642-23599-3_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23598-6

  • Online ISBN: 978-3-642-23599-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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