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 analyticsframework to leverage insights frome-participation platforms and social media through relevant data analyticsto 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 informationfrom 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 onthe case of Liège. This policy analyticsframeworksupports each step of thetraditional policy-making processwith appropriate data analytics applied to the two sources.
|Journal||Government Information Quarterly|
|Publication status||Accepted/In press - 2021|