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Participative Public Policy Making Through Multiple Social Media Platforms Utilization

Participative Public Policy Making Through Multiple Social Media Platforms Utilization

Yannis Charalabidis, Euripidis Loukis
Copyright: © 2012 |Volume: 8 |Issue: 3 |Pages: 20
ISSN: 1548-3886|EISSN: 1548-3894|EISBN13: 9781466611979|DOI: 10.4018/jegr.2012070105
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MLA

Charalabidis, Yannis, and Euripidis Loukis. "Participative Public Policy Making Through Multiple Social Media Platforms Utilization." IJEGR vol.8, no.3 2012: pp.78-97. http://doi.org/10.4018/jegr.2012070105

APA

Charalabidis, Y. & Loukis, E. (2012). Participative Public Policy Making Through Multiple Social Media Platforms Utilization. International Journal of Electronic Government Research (IJEGR), 8(3), 78-97. http://doi.org/10.4018/jegr.2012070105

Chicago

Charalabidis, Yannis, and Euripidis Loukis. "Participative Public Policy Making Through Multiple Social Media Platforms Utilization," International Journal of Electronic Government Research (IJEGR) 8, no.3: 78-97. http://doi.org/10.4018/jegr.2012070105

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Abstract

Described is the research concerning the systematic, intensive and centralized web 2.0 social media exploitation by government agencies for widening and enhancing participative public policy making, which is conducted as part of the research project PADGETS (‘Policy Gadgets Mashing Underlying Group Knowledge in Web 2.0 Media’) partially funded by the European Commission. The proposed approach is based on a central system, which publishes various types of policy-related content (e.g., short text long text, images, video) and micro-applications in multiple social media simultaneously, and also collects from them and processes data on citizens’ interactions (e.g., views, comments, ratings, votes, etc.). Posing difficult research questions and challenges, both technical (analysis and exploitation of social media application programming interfaces (APIs), appropriate design of the central system architecture, processing and integrating the large amounts of collected citizens’ interaction data) and also non-technical (investigation of the value generated by this approach, preconditions for its effective application by government agencies), which are researched in the above project. Some first findings on them are presented and discussed.

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