Abstract
This paper investigates how two policy areas, Environment and Energy were dealt with by seven Danish left and right wing parties in their electoral manifestos (2007-2019) and parliamentary debates between 2009 and 2020. We analyse the two datasets both quantitatively and contentwise using BERTopic (Grootendorst, 2022) to generate subtopics about the two policy areas from the debates, and comparing the results with the content of the manifestos. BERTopic is trained with both multilingual and Danish word embeddings (https://certainly.io/blog/danish-bert-model/). BERTopic generated useful subtopics with both word embeddings, but the multimodal ones produced the largest number of relevant subtopics. Our study shows that only few parties have a consistent behavior in their electoral manifestos and parliamentary debates
with respect to the topics that they address. This can be explained in terms of issue and party competition as well as coalition and role of the parties as proposed by political science researchers.
with respect to the topics that they address. This can be explained in terms of issue and party competition as well as coalition and role of the parties as proposed by political science researchers.
Original language | English |
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Title of host publication | Proceedings of the 3rd Workshop on Computational Linguistics for the Political and Social Sciences |
Place of Publication | Ingolstad |
Publisher | Association for Computational Linguistics |
Publication date | 2023 |
Pages | 59-68 |
ISBN (Print) | 979-8-89176-032-5 |
Publication status | Published - 2023 |