Supporting policy-making with social media and e-participation platforms data: A policy analytics framework |
| |
| Authors: | Anthony Simonofski Jerôme Fink Corentin Burnay |
| |
| Institution: | 1. Faculty of Computing, “Innovative Information Technologies” Laboratory, Programming Department, University of Latvia, Riga, Latvia, Raina boulevard 19, Riga LV-1050, Latvia;2. Faculty of Economics and Administration, University of Pardubice, Pardubice, Czech Republic |
| |
| Abstract: | E-participation enables citizens to have an impact on policy-making through electronic means. Two of the most popular channels are social media and dedicated e-participation platforms. However, the ideas, comments, discussions of citizens on these two channels generate a lot of data to be processed by political representatives or public agents afterwards. Despite the existence of various techniques for social media analytics, literature is scarce regarding the analysis techniques to mine e-participation platforms as well as the possible combination of insights between the two channels.In order to address these gaps, we design a policy analytics framework to leverage insights from e-participation platforms and social media through relevant data analytics to support policy-making. In order to do so, we rely on the Design Science Research methodology. Through the analysis of four different cities in Belgium (Liège, Mons, Marche-en-Famenne, Leuven), we identify policy-makers' requirements and needs of information from platforms and social media. Then, we explore data analysis techniques to address those requirements. Finally, we design an actionable framework, present it as an interactive dashboard and iteratively test it on the case of Liège. This policy analytics framework supports each step of the traditional policy-making process with appropriate data analytics applied to the two sources. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
