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GESIS Search
Find information about social science research data, publications on research data as well as open access publications.
Links between contents are displayed directly in the hit list. For example, you can find matching publications to the research data found.
The results can be filtered quickly and conveniently according to the following categories:
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Contact: suche@gesis.org
The GESIS Library is a special library for Empirical Social Research and Applied Computer Science. It is available to external users as a reference library in Cologne and Mannheim.
The cooperation with the Research Data Center Education at the DIPF enables us to show you also hits on measurement instruments in the field of educational research. The measurement instruments documented there can be used free of charge for non-commercial purposes.
The cooperation with the Open Test Archive at the Leibniz Institute of Psychology (ZPID) enables us to show you also hits on measurement instruments in the field of psychology and related disciplines. The measurement instruments documented there are protected by copyright and are made available free of charge ("Open Access") for use in research, teaching and practice under a Creative Commons license.
GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2860
Abstract: Tweetplomacy 23 is a semantically annotated corpus of tweets capturing digital communicative interaction between international political leaders, peer groups and citizens ... more
Abstract: Tweetplomacy 23 is a semantically annotated corpus of tweets capturing digital communicative interaction between international political leaders, peer groups and citizens ... more
Availability: Free access (without registration)
License: CC BY-NC 4.0: Attribution – NonCommercial (https://creativecommons.org/licenses/by-nc/4.0/deed.de)
Subject area: [Interdisciplinary and Applied Fields of the Social Sciences [=] Mass Communication [=] Information Science [=] Interpersonal Communication]
Topics: Ukraine, Russia, political communication, crisis communication, discourse, discourse analysis, international relations, international politics, epidemic, text communication, text processing, text analysis, social media, energy, vaccination, natural gas, energy supply, crude oil, climate, climate change, greenhouse effect, shortage, Federal Chancellor, career politician, international organization, OECD member country, political leadership, head of state, ministry of foreign affairs
Date(s) of Data Collection: 2018-01; 2023-05
Universe: 1% random sample Twitter/X archive
Notes: keywords- and user list-based extraction
Primärforschende, Institution: Petermann, Jan-Henrik; RedaktionsNetzwerk Deutschland (RND), Bensmann, Felix; GESIS - Leibniz-Institut für Sozialwissenschaften, Zhang, Yudong; GESIS - Leibniz-Institut für Sozialwissenschaften, Dimitrov, Dimitar; GESIS - Leibniz-Institut für Sozialwissenschaften
Publication year: 2025
DOI: 10.7802/2860
Study number: SDN-10.7802-2860
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2860
Publications: Dimitrov, D., Baran, E., Fafalios, F., Yu, R., Zhu, X., Zloch, M., and Dietze, S., TweetsCOV19 -- A Knowledge Base of Semantically Annotated Tweets about the COVID-19 Pandemic, 29th ACM, International Conference on Information & Knowledge Management (CIKM2020), Resource Track, ACM 2020
GESIS, Cologne. Data File Version 2.0.0, https://doi.org/10.7802/2609
Abstract: The EPINetz Twitter Politicians Dataset is a comprehensive dataset of 2,811 Twitter accounts of German parliamentarians, ministers, state secretaries, parties and ministr ... more
Abstract: The EPINetz Twitter Politicians Dataset is a comprehensive dataset of 2,811 Twitter accounts of German parliamentarians, ministers, state secretaries, parties and ministr ... more
Availability: Free access (without registration)
Subject area: [Political Science [=] Science of Communication [=] Other Fields of the Applied Social Sciences]
Topics: minister, federation (national admin. level), twitter, career politician, social media, ministry, party
Geographic coverage: [Germany / DE]
Universe: German parliamentarians, ministers, state secretaries, parties and ministries on Twitter on a state, federal and EU level between 2021 and 2023
Sampling Procedure: Total Universe / Complete enumeration
Mode of Data Collection: Computer-based observation
Primärforschende, Institution: König, Tim; EPINetz
Publication year: 2023
DOI: 10.7802/2609
Study number: SDN-10.7802-2609
Contributor, Institution, Role: [Brand, Alexander; EPINetz (Related Person) [=] Freyberg, Julian; EPINetz (Data Collector) [=] Schünemann, Wolf; EPINetz (Project Leader) [=] Gertz, Michael; EPINetz (Project Leader) [=] Gronewold, Marco; EPINetz (Data Collector)]
Project funder: Klaus Tschira Stiftung
Publisher: GESIS, Cologne
Current Version: 2.0.0, https://doi.org/10.7802/2609
Version history:
| Version number | Changes in this version |
|---|---|
| 2.0.0 (aktuelle Version) | 2023-09-07 We updated the EPINetz Twitter Politicians Dataset in order to bring the data up to date. Most notably, we updated the data to contain elected politicians up to March 2023, that is, up to and including the Berlin repeat state elections. Due to changes in Twitter/Xs research access policy, the Bremen state elections in May 2023 could not be included in the update. As before, politicians incumbent at the time of observation have a missing "until" field, indicating that the date of their departure from office is (as of yet) unknown. Furthermore, we expanded the data to contain all elected politicians, regardless of them having a Twitter account. For politicians without a twitter account at the time of observation, the information regarding Twitter (user_id, twitter_handle and twitter_name) is simply missing. All other information, such as office incumbency, wikidata ID or abgeordnetenwatch ID, however, is included. Finally, we double-checked some information such as (self-ascribed) gender, age and party with the abgeordnetenwatch database. When values differed from the information originally retrieved from wikidata, the abgeordnetenwatch database was authoritative. Information such as twitter ID and abgeordnetenwatch ID of the politicians were additionally uploaded to wikidata and can be retrieved from there. Note, however, that data such as office or party membership may not always be correct on wikidata, as we did not edit these entries. For this data, we recommend consulting abgeordnetenwatch for up-to-date and well-maintained information. https://doi.org/10.7802/2609 |
| 1.0.0 | 2022-05-10 https://doi.org/10.7802/2415 |
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
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 ministr ... more
Abstract: The EPINetz Twitter Politicians Dataset is a comprehensive dataset of 2,449 Twitter accounts of German parliamentarians, ministers, state secretaries, parties and ministr ... more
Availability: Free access (without registration)
Subject area: [Political Science [=] Science of Communication [=] Other Fields of the Applied Social Sciences]
Topics: minister, federation (national admin. level), twitter, career politician, social media, ministry, party
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
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
Current Version: 1.0.0, https://doi.org/10.7802/2415
Version history:
| Version number | Changes in this version |
|---|---|
| 2.0.0 (aktuelle Version) | 2023-09-07 We updated the EPINetz Twitter Politicians Dataset in order to bring the data up to date. Most notably, we updated the data to contain elected politicians up to March 2023, that is, up to and including the Berlin repeat state elections. Due to changes in Twitter/Xs research access policy, the Bremen state elections in May 2023 could not be included in the update. As before, politicians incumbent at the time of observation have a missing "until" field, indicating that the date of their departure from office is (as of yet) unknown. Furthermore, we expanded the data to contain all elected politicians, regardless of them having a Twitter account. For politicians without a twitter account at the time of observation, the information regarding Twitter (user_id, twitter_handle and twitter_name) is simply missing. All other information, such as office incumbency, wikidata ID or abgeordnetenwatch ID, however, is included. Finally, we double-checked some information such as (self-ascribed) gender, age and party with the abgeordnetenwatch database. When values differed from the information originally retrieved from wikidata, the abgeordnetenwatch database was authoritative. Information such as twitter ID and abgeordnetenwatch ID of the politicians were additionally uploaded to wikidata and can be retrieved from there. Note, however, that data such as office or party membership may not always be correct on wikidata, as we did not edit these entries. For this data, we recommend consulting abgeordnetenwatch for up-to-date and well-maintained information. https://doi.org/10.7802/2609 |
| 1.0.0 | 2022-05-10 https://doi.org/10.7802/2415 |
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
