Exploring Twitter discourse with BERTopic: topic modeling of tweets related to the major German parties during the 2021 German federal election

URN to cite this document:: urn:nbn:de:bvb:355-epub-595828
DOI to cite this document:: 10.5283/epub.59582

Hellwig, Nils Constantin

; Fehle, Jakob

; Bink, Markus ; Schmidt, Thomas

; Wolff, Christian

License: Creative Commons Attribution 4.0
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Date of publication of this fulltext: 12 Nov 2024 12:07

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Abstract

We present a study in the context of computational social science that explores the topics debated in the context of the 2021 German Federal Election by using the topic modeling technique BERTopic. The corpus consists of German language tweets posted by political party accounts of the major German parties, as well as tweets by the general public mentioning the party accounts. We examined the ...