The Effect of Post Type and Post Category on Citizen Interaction Level on Facebook: The Case of Metropolitan and Provincial Municipalities in the Marmara Region of Turkey
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Local governments use social media tools to inform citizens, promote themselves to their audiences, collect feedback from citizens and use this feedback as input in the process of improving public services and policies. To achieve these goals, local governments need to reach out to the greatest number of people using a successful communication strategy. Post characteristics such as post type and category have an effect on the number of citizens reached by local governments and the amount of feedback received from them (such as the number of reactions, comments and shares). Therefore, the basic research question of the present study is as follows: What type and content of posts would help local governments increase the level of interaction with their citizens? In this context, this chapter aims to analyze the relationship between the types and categories of Facebook posts sent by the metropolitan and provincial municipalities in the Marmara Region of Turkey and the level of citizen interaction. In this study, the methods of content analysis and the Kruskal-Wallis test are used. The results of our analysis reveal that there is a significant relationship between post type and post category and citizen interaction level.
- Bhattacharya, S., Srinivasan, P., & Polgreen, P. (2017). Social media engagement analysis of U.S. Federal health agencies on Facebook. BMC Medical Informatics and Decision Making. https://doi.org/10.1186/s12911-017-0447-z.
- Cvijikj, I. P., & Michahelles, F. (2011). A case study of the effects of moderator posts within a Facebook brand page. In A. Datta, S. Shulman, B. Zheng, A. Sun, & E. P. Lim (Eds.), Social informatics: Third international conference (pp. 161–170). Verlag Berlin Heidelberg: Springer.CrossRefGoogle Scholar
- Facebook. (2017). Retrieved October 25, 2017 from https://newsroom.fb.com/company-info/.
- Golbeck, J., Grimes, J. M., & Rogers, A. (2010). Twitter use by the U.S. Congress. Journal of the American Society for Information Science and Technology, 61(8), 1612–1621.Google Scholar
- Hrdinová, J., Helbig, N., & Stollar Peters, C. (2010). Desining social media policy for government: Eight essential elements. New York: Center for Technology in Government.Google Scholar
- Meijer, A., Koops, B., Pieterson, W., Overman, S., & Ten Tije, S. (2012). Government 2.0: Key challenges to its realization. Electronic Journal of e-Government, 10(1), 59–69.Google Scholar
- Mergel, I. (2013a). Social media in public sector: A guide to participation, collaboration and transparency in networked world. San Francisco: Jossey-Bass.Google Scholar
- O’Reilly, T. (2007). What is web 2.0: Design patterns and business models for the next generation of software. Communication & Strategies, 65(1), 17–37.Google Scholar
- Sandoval-Almazan, R., Gil-Garcia, J. R., Luna-Reyes, L. F., Luna-Reyes, D. E., & Díaz-Murillo, G. (2011). The use of web 2.0 on Mexican state websites: A three-year assessment. Electronic Journal of e-Government, 9(2), 107–121.Google Scholar
- Statista.com. (2017). Retrieved November 20, 2017, from https://www.statista.com/statistics/282087/number-of-monthly-active-twitter-users/.
- Trefzger T. F., Baccarella C. V., & Voigt K. I. (2016). Antecedents of brand post popularity in Facebook: The influence of images, videos, and text. In Proceedings of the 15th International Marketing Trends Conference, January 21–23, Venice, Italy.Google Scholar
- YouTube. (2017). Retrieved October 20, 2017, from https://www.youtube.com/yt/about/press/.