TY - JOUR
T1 - Supporting Policy-Making with Social Media and e-Participation Platforms Data
T2 - a Policy Analytics Framework
AU - Simonofski, Anthony
AU - Fink, Jerome
AU - Burnay, Corentin
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
M3 - Article
SN - 0740-624X
JO - Government Information Quarterly
JF - Government Information Quarterly
ER -