This article presents the work on social media analysis-driven policy-making platforms that are powered by classic social media analysis technologies, such as policy modelling, linguistic analysis, opinion mining, sentiment analysis and information visualization. The approach examines the user design perspective towards user experience in policymaking for all the innovative modules used. The technology behind such complex task is presented while the resulting platform is appraised on the potential for real world application. The findings drive the development and the requirements for the summative usability assessment tests. We also report on the level the practitioners adopted the policy formulation tools.
CITATION STYLE
Koryzis, D., Fitsilis, F., Spiliotopoulos, D., Theocharopoulos, T., Margaris, D., & Vassilakis, C. (2020). Policy Making Analysis and Practitioner User Experience. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12423 LNCS, pp. 415–431). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-60114-0_29
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