Publication: Text Mining from Party Manifestos to Support the Design of Online Voting Advice Applications
Text Mining from Party Manifestos to Support the Design of Online Voting Advice Applications
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Buryakov, D., Hino, A., Kovacs, M., & Serdült, U. (2022). Text Mining from Party Manifestos to Support the Design of Online Voting Advice Applications. 1–7. https://doi.org/10.1109/besc57393.2022.9995398
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Voting advice applications (VAA) allow potential voters to compare their own policy positions to political parties running for an election. One of the key design elements of a VAA are the policy statements representing the political space covered by political parties. VAA designers face the challenge of coming up with policy statements in a short time frame. Even with medium-sized corpora of texts such as party manifestos, the formulation and selection of policy statements serving as a stimulus in the VAA is a tedious and time-consumi
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Buryakov, D., Hino, A., Kovacs, M., & Serdült, U. (2022). Text Mining from Party Manifestos to Support the Design of Online Voting Advice Applications. 1–7. https://doi.org/10.1109/besc57393.2022.9995398
