Research data

EPINetz Twitter Politicians 2021

GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2415

Other Title (type): A comprehensive Dataset of German Politicians on Twitter (Subtitle)

Abstract: The EPINetz Twitter Politicians Dataset is a comprehensive dataset of 2,449 Twitter accounts of German parliamentarians, ministers, state secretaries, parties and ministries on a state, federal and EU level for the year 2021. This hand-curated dataset not only provides up-to-date information on elected officials, it also supplements additional variables such as their party affiliation, age or 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 data ... more

Availability: Free access (without registration)

Subject area: [Political Science [=] Science of Communication [=] Other Fields of the Applied Social Sciences]

Methodology

Geographic coverage: [Germany / DE]

Universe: German parliamentarians, ministers, state secretaries, parties and ministries on Twitter on a state, federal and EU level for the year 2021

Sampling Procedure: Total Universe / Complete enumeration

Mode of Data Collection: Computer-based observation

Bibliographic information

Primärforschende, Institution: König, Tim; EPINetz

Publication year: 2022

DOI: 10.7802/2415

Study number: SDN-10.7802-2415

Contributor, Institution, Role: [Brand, Alexander; EPINetz (Related Person) [=] Freyberg, Julian; EPINetz (Data Collector) [=] Schünemann, Wolf; EPINetz (Project Leader) [=] Gertz, Michael; EPINetz (Project Leader)]

Project funder: Klaus Tschira Stiftung

Publisher: GESIS, Cologne

Versions

Current Version: 1.0.0, https://doi.org/10.7802/2415

Version history: ... more

Reference publications

Publications: König, T., Schünemann, W.J., Brand, A. et al. The EPINetz Twitter Politicians Dataset 2021. A New Resource for the Study of the German Twittersphere and Its Application for the 2021 Federal Elections. Polit Vierteljahresschr (2022). https://doi.org/10.1007/s11615-022-00405-7

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König, Tim (2022). EPINetz Twitter Politicians 2021. GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2415.

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MD5:	190929d9a792028a3e78062bb789ca2f
Type of file:	Research Data
File size:	161.23 KB
Version number:	1.0
Language:	English / en
Number of variables:	15
Number of units:	2680
Software and Version	R 4.1.2
Additional information about the file	The EPINetz Twitter Politicians Dataset 2021 as .RDS

MD5:	75dc256fc4db62df7576ef5e7f06bb06
Type of file:	Research Data
File size:	410.9 KB
Version number:	1.0
Language:	English / en
Number of variables:	15
Number of units:	2680
Additional information about the file	The EPINetz Twitter Politicians Dataset 2021 as .csv

MD5:	c3e7e4227ef97338599966ca92ba88c1
Type of file:	Research Data
File size:	250.75 KB
Version number:	1.0
Language:	English / en
Number of variables:	15
Number of units:	2680
Software and Version	Excel
Additional information about the file	The EPINetz Twitter Politicians Dataset 2021 as .xlsx

MD5:	3b792d406c1fbc859b02459dcca3f3d3
Type of file:	Methods Report
File size:	201.24 KB
Version number:	1.0
Language:	English / en
Additional information about the file	Documentation for the EPINetz Politicians Dataset 2021. Contains information on the data collection process and included variables.