Database Public Speakers (Datenbank Öffentlicher Sprecher)
Public speakers and their social media accounts
Keywords:
news media, political party, government agencies, journalists, politicians, twitter, facebook, instagram, tiktok, youtube
news media, political party, government agencies, journalists, politicians, twitter, facebook, instagram, tiktok, youtube
Data Type:
quantitative
quantitative
Language:
German
German
Published:
Wed, 25 March 2026
Wed, 25 March 2026
Abstract
Study Title (long): Datenbank Öffentlicher Sprecher:innen v3
The "Datenbank öffentlicher Sprecher:innen" (DBÖS; Database Public Speakers) is a comprehensive and up-to-date collection of media, organizations, and individuals from Germany which contribute to public debates. The currently available dataset consists of 9.995 entries and comprises basic publicly available information (e.g. party membership for politicians, or mode of financing for media outlets) alongside with public social media accounts (Twitter, Facebook, Instagram) for each database entry.
Contributor:
Christoph Beyer, Milena Braun, Beate Conrad, Stella Mickeler Garcia, Hannah Immler, Katharina Johnsen, Leonard Just, Philipp Kessling, Karl Kriemann, Leonie Krug, Clara Linnekugel, Wiebke Loosen, Anna Meinke, Jasmina Moradi, Nina Nevermann, Yana Novitskaya, Isabelle Petrich, Louisa Pröschel, Jan Philipp Rau, Amelie Rolfs, Clara Schultz, Torben Steenbuck, Gregor Wiedemann, Rahel Winter
Christoph Beyer, Milena Braun, Beate Conrad, Stella Mickeler Garcia, Hannah Immler, Katharina Johnsen, Leonard Just, Philipp Kessling, Karl Kriemann, Leonie Krug, Clara Linnekugel, Wiebke Loosen, Anna Meinke, Jasmina Moradi, Nina Nevermann, Yana Novitskaya, Isabelle Petrich, Louisa Pröschel, Jan Philipp Rau, Amelie Rolfs, Clara Schultz, Torben Steenbuck, Gregor Wiedemann, Rahel Winter
Funding Institution:
BMFTR; Leibniz-Institut für Medienforschung
BMFTR; Leibniz-Institut für Medienforschung
Temporal Coverage:
1/2025 - 12/2025
1/2025 - 12/2025
Time Dimension:
cross-section
cross-section
Sampled Universe:
na
na
Sampling:
na
na
Collection Mode:
na
na
Geograhic Coverage:
Germany
Germany
Resource Type:
csv file
csv file
Availability:
public
public
Institution:
OSF; GitHub
OSF; GitHub
Related Datasets:
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