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Using Open Government Data to Facilitate the Design of Voting Advice Applications

  • Conference paper
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Electronic Participation (ePart 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13392))

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Abstract

In the process of statement selection for online voting advice applications (VAAs) a considerable amount of time is spent for analyzing the domestic and foreign policies of a given country. However, harnessing large amounts of available open data, which would be useful in this design process, manually is impractical. In order to facilitate such time-consuming and labor-intensive work, the authors propose a system to assist VAA designers formulating policy statements. Using advanced language modeling and text summarization techniques and based on open government data related to politics during the legislature preceding an election, the system produces suggestions applicable for revising or creating new VAA policy statements. Experiments conducted on VAA and e-petition data from Taiwan show that the proposed system can generate meaningful suggestions for VAA designers and could therefore help reducing the cost of the VAA design process.

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Author information

Authors and Affiliations

  1. College of Information Science and Engineering, Ritsumeikan University, 525-8577, Kusatsu, Japan

    Daniil Buryakov, Mate Kovacs, Victor Kryssanov & Uwe Serdült

  2. Center for Democracy Studies Aarau (ZDA), University of Zurich, 8006, Zurich, Switzerland

    Uwe Serdült

Authors
  1. Daniil Buryakov
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  2. Mate Kovacs
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  3. Victor Kryssanov
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  4. Uwe Serdült
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Corresponding author

Correspondence to Daniil Buryakov .

Editor information

Editors and Affiliations

  1. University of Tartu, Tartu, Estonia

    Robert Krimmer

  2. University of South-Eastern Norway, Borre, Norway

    Marius Rohde Johannessen

  3. Danube University Krems, Krems, Austria

    Thomas Lampoltshammer

  4. Linköping University, Linköping, Sweden

    Ida Lindgren

  5. Danube University Krems, Krems, Austria

    Peter Parycek

  6. University of Zurich, Zurich, Switzerland

    Gerhard Schwabe

  7. Delft University of Technology, Delft, The Netherlands

    Jolien Ubacht

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Buryakov, D., Kovacs, M., Kryssanov, V., Serdült, U. (2022). Using Open Government Data to Facilitate the Design of Voting Advice Applications. In: Krimmer, R., et al. Electronic Participation. ePart 2022. Lecture Notes in Computer Science, vol 13392. Springer, Cham. https://doi.org/10.1007/978-3-031-23213-8_2

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  • DOI: https://doi.org/10.1007/978-3-031-23213-8_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-23212-1

  • Online ISBN: 978-3-031-23213-8

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