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The EPINetz Twitter Politicians Dataset 2021. A New Resource for the Study of the German Twittersphere and Its Application for the 2021 Federal Elections

This research note introduces the EPINetz Twitter Politicians Dataset, a comprehensive dataset of 2449 Twitter accounts of German parliamentarians, minsters, state secretaries, parties, and ministries on a state, federal, and European Union level for the year 2021. This hand-curated dataset not only...

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Autores principales: König, Tim, Schünemann, Wolf J., Brand, Alexander, Freyberg, Julian, Gertz, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Fachmedien Wiesbaden 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9199468/
https://www.ncbi.nlm.nih.gov/pubmed/35730060
http://dx.doi.org/10.1007/s11615-022-00405-7
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author König, Tim
Schünemann, Wolf J.
Brand, Alexander
Freyberg, Julian
Gertz, Michael
author_facet König, Tim
Schünemann, Wolf J.
Brand, Alexander
Freyberg, Julian
Gertz, Michael
author_sort König, Tim
collection PubMed
description This research note introduces the EPINetz Twitter Politicians Dataset, a comprehensive dataset of 2449 Twitter accounts of German parliamentarians, minsters, state secretaries, parties, and ministries on a state, federal, and European Union level for the year 2021. This hand-curated dataset not only provides up-to-date information on elected officials, but it also includes additional variables such as their party affiliation, age, and gender. Furthermore, it provides linkages to additional data sources by providing the accounts’ Wikidata and Abgeordnetenwatch (Parliamentwatch) IDs. While it does not provide actual tweet data, the dataset will be a valuable resource for researchers by providing easy access to elected German politicians. We demonstrate some of the dataset’s uses with an analysis of the 2021 German Federal Elections. The full dataset can be accessed via 10.7802/2415. SUPPLEMENTARY INFORMATION: The online version of this article (10.1007/s11615-022-00405-7) contains supplementary material, which is available to authorized users.
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spelling pubmed-91994682022-06-17 The EPINetz Twitter Politicians Dataset 2021. A New Resource for the Study of the German Twittersphere and Its Application for the 2021 Federal Elections König, Tim Schünemann, Wolf J. Brand, Alexander Freyberg, Julian Gertz, Michael Polit Vierteljahresschr Research Note This research note introduces the EPINetz Twitter Politicians Dataset, a comprehensive dataset of 2449 Twitter accounts of German parliamentarians, minsters, state secretaries, parties, and ministries on a state, federal, and European Union level for the year 2021. This hand-curated dataset not only provides up-to-date information on elected officials, but it also includes additional variables such as their party affiliation, age, and gender. Furthermore, it provides linkages to additional data sources by providing the accounts’ Wikidata and Abgeordnetenwatch (Parliamentwatch) IDs. While it does not provide actual tweet data, the dataset will be a valuable resource for researchers by providing easy access to elected German politicians. We demonstrate some of the dataset’s uses with an analysis of the 2021 German Federal Elections. The full dataset can be accessed via 10.7802/2415. SUPPLEMENTARY INFORMATION: The online version of this article (10.1007/s11615-022-00405-7) contains supplementary material, which is available to authorized users. Springer Fachmedien Wiesbaden 2022-06-15 2022 /pmc/articles/PMC9199468/ /pubmed/35730060 http://dx.doi.org/10.1007/s11615-022-00405-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Note
König, Tim
Schünemann, Wolf J.
Brand, Alexander
Freyberg, Julian
Gertz, Michael
The EPINetz Twitter Politicians Dataset 2021. A New Resource for the Study of the German Twittersphere and Its Application for the 2021 Federal Elections
title The EPINetz Twitter Politicians Dataset 2021. A New Resource for the Study of the German Twittersphere and Its Application for the 2021 Federal Elections
title_full The EPINetz Twitter Politicians Dataset 2021. A New Resource for the Study of the German Twittersphere and Its Application for the 2021 Federal Elections
title_fullStr The EPINetz Twitter Politicians Dataset 2021. A New Resource for the Study of the German Twittersphere and Its Application for the 2021 Federal Elections
title_full_unstemmed The EPINetz Twitter Politicians Dataset 2021. A New Resource for the Study of the German Twittersphere and Its Application for the 2021 Federal Elections
title_short The EPINetz Twitter Politicians Dataset 2021. A New Resource for the Study of the German Twittersphere and Its Application for the 2021 Federal Elections
title_sort epinetz twitter politicians dataset 2021. a new resource for the study of the german twittersphere and its application for the 2021 federal elections
topic Research Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9199468/
https://www.ncbi.nlm.nih.gov/pubmed/35730060
http://dx.doi.org/10.1007/s11615-022-00405-7
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