Dynamic Profiles for Voting Advice Applications

1. Front Matter

   Pages i-xxiii

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2. Motivation and Objectives

   1. Front Matter

      Pages 1-1

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   2. Introduction

      • Luis Terán

      Pages 3-11

3. Background

   1. Front Matter

      Pages 13-13

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   2. Voting Advice Applications

      • Luis Terán

      Pages 15-26

   3. A Literature Review for Recommender Systems Techniques Used in Microblogs

      • Luis Terán

      Pages 27-47

4. Conceptual Framework

   1. Front Matter

      Pages 49-49

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   2. Dynamic Profiles Using Sentiment Analysis for VAAs

      • Luis Terán

      Pages 51-70

   3. A Dynamic VAA for the 2017 Ecuador National Election

      • Luis Terán

      Pages 71-94

5. Implementation and Evaluation

   1. Front Matter

      Pages 95-95

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   2. Architecture and Implementation

      • Luis Terán

      Pages 97-116

   3. Analysis and Evaluation

      • Luis Terán

      Pages 117-130

6. Conclusion

   1. Front Matter

      Pages 131-131

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   2. Discussion and Conclusions

      • Luis Terán

      Pages 133-143

7. Back Matter

   Pages 145-167

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Electronic participation is an emerging and growing research area that makes use of internet solutions to enhance citizens' participation in government processes in order to provide a fair and efficient society. This book examines recommender-system technologies and voting advice applications as tools to enable electronic citizen participation during election campaigns. Further, making use of fuzzy classification, it provides an evaluation framework for eParticipation. A dynamic voting advice application developed for the 2017 Ecuador national election serves as a real-world case study to introduce readers to the practical implementation and evaluation issues. The book concludes with a comprehensive analysis of the 2017 election project based on altmetrics, Google Analytics and statistics from the case study.  

• Voting advice applications
• Recommender systems techniques
• Classification frameworks
• Dynamic profiling
• Vector profiles
• Sentiment analysis
• Social network development
• Altmetrics
• Google Analytics

“This is a well-written book that provides lot of necessary insights to readers. The methods and techniques used to implement VAAs will continue to evolve and improve. In this context, I encourage the author to think about the next edition of this book.” (Varadraj Gurupur, Computing Reviews, August 21, 2020)

• Department of Informatics, University of Fribourg, Fribourg, Switzerland

  Luis Terán

Luis Terán (1979) received the BSc degree in electronics and telecommunications from Escuela Politécnica Nacional (EPN), Quito, Ecuador, in 2004, the MSc degree in communication systems from the Federal Institute of Technology (EPFL), Lausanne, Switzerland, in 2009, and the PhD and habilitation degrees in computer science from the University of Fribourg. He is currently working as a senior researcher in cognitive computing at the Human-IST Institute, University of Fribourg, Switzerland, and as an academic guest in the Department of Political Science at the University of Zurich. He also has been appointed full professor at Universidad de Las Fuerzas Armadas (ESPE), Ecuador. His research interests include eGovernment, eParticipation, eCollaboration, eDemocracy, eElection, eVoting, eCommunities, recommender systems, and fuzzy classification. He is currently a board member for the IEEE e-Government Special Technical Community, the program chair and main organizer for the International Conference on eDemocracy and eGovernment (ICEDEG), an editorial board member at the Cooperative Perspective Journal, a guest editor at the Transactions on Emerging Topics in Computing Journal, and a distinguished exhibitor at IEEE Ecuador Section. 

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