2015/09/25 by Konstantinos Tserpes, Tserpes, Konstantinos
Business, Management and Accounting · Computer Science · Social Sciences · #Computers and Society (cs.CY) #FOS: Computer and information sciences #Innovative Approaches in Technology and Social Development #Innovative Human-Technology Interaction #Mobile Crowdsensing and Crowdsourcing #Open Source Software Innovations #Social Media and Politics #cs.CY
paper · pdf · doi:10.48550/arxiv.1509.07698
14th IFIP Electronic Government (EGOV) and 7th Electronic Participation (ePart) Conference 2015, Thessaloniki, Greece; 08/2015
arxiv created 2015/09/25 · openalex publication_date 2015/09/25 · arxiv updated 2015/09/28 · openalex created_date 2019/07/30 · openalex updated_date 2026/07/28
Even though it is unrealistic to expect citizens to pinpoint the policy implementation that they prefer from the set of alternatives, it is still possible to infer such information through an exercise of ranking the importance of policy objectives according to their opinion. Assuming that the mapping between policy options and objective evaluations is a priori known (through models and simulations), this can be achieved either implicitly through appropriate analysis of social media content related to the policy objective in question or explicitly through the direct feedback provided in the frame of a game. This document focuses on the presentation of a policy model, which reduces the policy to a multi-objective optimization problem and mitigates the shortcoming of the lack of social objective functions (public opinion models) with a black-box, games-for-crowds approach.