Tutorial: Digital Identification as a Core Element of e-Governance

The amount of citizens' participation and political involvement within democratic societies may vary from one person to another. Similarly, this diversity of political engagement of users might be observed in online platforms such as Twitter. Hence, considering their political-related online activity, they may be catalogued as highly politically active or poorly politically active citizens. The aim of this tutorial is to provide the ICEDEG audience with an overview on the use of social media data for E-Government and data mining strategies to model users' interests. Specifically, I will present an approach to measure their degree of interest in politics. In the first part of the tutorial, I will introduce the issues related to the supporting role of Online Social Networks (OSNs) in citizenship evolution. Then, we will see techniques employed to model users' preferences as well as tweets classification and clustering to do so. Considering Twitter as a widely studied platform in digital citizenship, I will present relevant works in the state of the art. In the second part of the tutorial we will analyze a case study taking the advantage of a demo. Finally, to conclude, I will present emerging aspects, open issues and challenges in this area.