Skip to main content

Part of the book series: Fuzzy Management Methods ((FMM))

  • 187 Accesses

Abstract

This chapter gives the reader a general overview and scope of this habilitation thesis in the development of the research project Participa Inteligente, a Web-based social network to enhance citizens’s participation which uses a dynamic profile generation for the so-called voting advice applications (VAAs).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    Participa Inteligente Team: https://participacioninteligente.org/quienes-somos.

  2. 2.

    http://www.ecuadorvota.com.

  3. 3.

    https://participacioninteligente.org.

  4. 4.

    http://www.ecuadorvota.com.

References

  • Hevner, A. R., March, S. T., Park, J., & Ram, S. (2004). Design science in information systems research. MIS Quarterly, 28, 75–105.

    Article  Google Scholar 

  • Lathrop, D., & Ruma, L., eds. (2010). Open government. Collaboration, transparency, and participation in practice, 1st edn. O’Reilly Media.

    Google Scholar 

  • Meier, A., & Terán, L. (2017). eDemocracy & eGovernment. Editorial IAEN: Etapas hacia la sociedad democrática del conocimiento.

    Google Scholar 

  • Recalde, L., Mendieta, J., Boratto, L., Teran, L., Vaca, C., & Baquerizo, G. (2017). Who you should not follow: Extracting word embeddings from tweets to identify groups of interest and hijackers in demonstrations. IEEE Transactions on Emerging Topics in Computing 1–15.

    Google Scholar 

  • Terán, L. (2014). SmartParticipation: A Fuzzy-Based Recommender System for Political Community-Building., Fuzzy Management Methods Cham: Springer.

    Book  Google Scholar 

  • Terán, L., & Kaskina, A. (2016). Enhancing voting advice applications with dynamic profiles. In Proceedings of the 9th International Conference on Theory and Practice of Electronic Governance (pp. 254–257). ACM.

    Google Scholar 

  • Terán, L., Kakenova, U., & Portmann, E. (2017a). Analyzing and integrating dynamic profiles on voting advice applications. In Proceedings of the 10th International Conference on Theory and Practice of Electronic Governance (pp. 62–69). ACM.

    Google Scholar 

  • Terán, L., & Mancera, J. (2017b). Dynamic profiles using sentiment analysis for vaa’s recommendation design. Procedia Computer Science, 108, 384–393.

    Google Scholar 

  • Terán, L., Mensah, A. O., & Estorelli, A. (2018). A literature review for recommender systems techniques used in microblogs. Expert Systems with Applications, 103, 63–73.

    Article  Google Scholar 

  • Terán, L., & Mancera, J. (2019). Dynamic profiles using sentiment analysis and twitter data for voting advice applications. Government Information Quarterly.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Luis Terán .

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Terán, L. (2020). Introduction. In: Dynamic Profiles for Voting Advice Applications. Fuzzy Management Methods. Springer, Cham. https://doi.org/10.1007/978-3-030-24090-5_1

Download citation

Publish with us

Policies and ethics