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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:
- Research data
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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
SWP - German Institute for International and Security Affairs. Data File Version 1.0.0, https://doi.org/10.7802/2768
Other Title (type): DIS-KEN (Alternative title)
Abstract: European actors are increasingly relying on strategic communication tools in their external relations, especially in key partner countries like Kenya. Based on a large-sc ... more
Abstract: European actors are increasingly relying on strategic communication tools in their external relations, especially in key partner countries like Kenya. Based on a large-sc ... more
Availability: Free access (without registration)
License: CC BY 4.0: Attribution (https://creativecommons.org/licenses/by/4.0/deed.de)
Subject area: [Political Science [=] Mass Communication]
Date(s) of Data Collection: 2013-01; 2023-07
Geographic coverage: Kenya / KE
Geographic coverage (free): [Ostafrika]
Temporal Research Design: Time series
Mode of Data Collection: Content Analysis
Notes: The embeddings used are based on the Model Deberta V3 Base, which can be found on huggingface: https://huggingface.co/microsoft/deberta-v3-baseFurther models trained for classification and then used are published on huggingface as well: https://huggingface.co/swp-berlin
Primärforschende, Institution: Eickhoff, Karoline; Stiftung Wissenschaft und Politik, Bochtler, Paul; Stiftung Wissenschaft und Politik
Publication year: 2024
DOI: 10.7802/2768
Study number: SDN-10.7802-2768
Contributor, Institution, Role: [Templin, Corinna; Stiftung Wissenschaft und Politik (Data Manager) [=] Sperk, Andrea; Stiftung Wissenschaft und Politik (Data Manager)]
Project funder: German Federal Foreign Office, Federal Ministry for Economic Cooperation and Development, Federal Ministry of Defence
Publisher: SWP - German Institute for International and Security Affairs
Current Version: 1.0.0, https://doi.org/10.7802/2768
Publications: Eickhoff, Karoline; Bochtler, Paul; Owilla, Hesbon Hansen. Communicating Strategically about What? Europe and China in the Kenyan Media. Megatrends Policy Brief (27). Stiftung Wissenschaft und Politik, Berlin., Stiftung Wissenschaft und Politik. (2024). deberta-base-news-topics-kenia-china (Revision 2240235)., Stiftung Wissenschaft und Politik. (2024). deberta-base-news-topics-kenia-europe (Revision 48ee195).
GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2677
Other Title (type): Online Anti-Gender Equality Mobilizations and Counter Strategies (Subtitle), Anti-gender discourses online (Subtitle)
Abstract: These data were collected as part of PushBackLash's Work Package on anti-gender discourses online to analyze anti-gender equality strategies on Twitter/X to develop typol ... more
Abstract: These data were collected as part of PushBackLash's Work Package on anti-gender discourses online to analyze anti-gender equality strategies on Twitter/X to develop typol ... more
Availability: Embargo (maximum 2 years)
Embargo until: 2026-02-20
Availability after expiration of the embargo: Free access (with registration)
Subject area: [Political Science [=] Information Science [=] Mass Communication [=] Womens Studies, Feminist Studies, Gender Studies]
Topics: twitter, discourse, gender, online media, online service, social media, gender studies, inequality, mobilization
Date(s) of Data Collection: 2023-07; 2023-12
Geographic coverage: [Austria / AT [=] Germany / DE [=] Poland / PL [=] Netherlands / NL [=] Italy / IT [=] Spain / ES [=] Hungary / HU [=] United Kingdom of Great Britain and Northern Ireland / GB]
Universe: Important pro- and anti-gender equality actors in the European Union (X Users)
Sampling Procedure: Non-probability Sample - Purposive Sample
Temporal Research Design: cross-section
Mode of Data Collection: Compilation/Synthesis
Notes: On November 14th 2023 X (former Twitter) changed the developer agreement and terms. One unexpected change referred to the content redistribution. Specifically, it states: Academic researchers are permitted to distribute Post IDs and/or User IDs solely for the purposes of non-commercial research on behalf of an academic institution, and that has been approved by X in writing, or peer review or validation of such research. Only as many Post IDs or User IDs as is necessary for such research, and have been approved by X may be used.The changes impact the Tweet IDs we are allowed to deposit and share publicly. Specifically, it implies that for those tweets collected before November 14th (~27,000) the tweet IDs will be deposited with GESIS. For the tweets collected after November 14th, we ask X for permission to share them. If X agrees, we will deposit the Tweet IDs with GESIS. If X disagrees, we will not be able to deposit these tweets. We will also monitor closely any developments in case the developer agreement and terms change again in the future.
Primärforschende, Institution: Kesberg, Rebekka; University of Amsterdam, Mügge, Liza; University of Amsterdam
Publication year: 2024
DOI: 10.7802/2677
Study number: SDN-10.7802-2677
Project funder: This project has received funding from the European Union’s Horizon 2021 research and innovation programme under grant agreement N° 101061687.
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2677
Schellhammer, Sebastian; Baran, Erdal; Bensmann, FelixDimitrov, Dr. Dimitar; Dietze, Stefan; Zhang, Yudong
GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2781
Abstract: TweetsKB is a public RDF corpus of anonymized data for a large collection of annotated tweets. The dataset currently contains data for more than 3.1 billion tweets, spann ... more
Abstract: TweetsKB is a public RDF corpus of anonymized data for a large collection of annotated tweets. The dataset currently contains data for more than 3.1 billion tweets, spann ... more
Availability: Free access (without registration)
License: Data can only be used for non-commercial research
Date(s) of Data Collection: 2022-09; 2023-06
Universe: a 1% sample of all tweets from Sep 2022 unti Jun 2023
Notes: The dataset consists of english and spam-filtered tweets from a 1% sample of all tweets from Sep 2022 until June 2023.
Primärforschende, Institution: Schellhammer, Sebastian; GESIS - Leibniz-Institut für Sozialwissenschaften, Baran, Erdal; GESIS - Leibniz-Institut für Sozialwissenschaften, Bensmann, Felix; GESIS - Leibniz-Institut für Sozialwissenschaften, Dimitrov, Dr. Dimitar; GESIS - Leibniz-Institut für Sozialwissenschaften, Dietze, Stefan; GESIS - Leibniz-Institut für Sozialwissenschaften & Heinrich-Heine-University Düsseldorf, Germany & L3S Research Center, Hannover, Germany, Zhang, Yudong; GESIS - Leibniz-Institut für Sozialwissenschaften
Publication year: 2024
DOI: 10.7802/2781
Study number: SDN-10.7802-2781
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2781
Publications: P. Fafalios, V. Iosifidis, E. Ntoutsi, and S. Dietze, TweetsKB: A Public and Large-Scale RDF Corpus of Annotated Tweets, 15th Extended Semantic Web Conference (ESWC'18), Heraklion, Crete, Greece, June 3-7, 2018.
GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2825
Abstract: TeleScope is an extensive dataset suite that comprises metadata for about 500K Telegram channels and downloaded message metadata from all 71K public channels within this ... more
Abstract: TeleScope is an extensive dataset suite that comprises metadata for about 500K Telegram channels and downloaded message metadata from all 71K public channels within this ... more
Availability: Free access (without registration)
Subject area: [Computational Social Science [=] Social Sciences [=] Other Fields of the Applied Social Sciences [=] Information Science]
Date(s) of Data Collection: 2024-02; 2024-10
Universe: Initial selection is based on top 100 TGStat channels according to Subscribers, Reach and Citation Criteria. The growth of the dataset is based on snowball sampling.
Sampling Procedure: The growth of the dataset is based on snowball sampling
Temporal Research Design: Longitudinal (panel study)
Primärforschende, Institution: Gangopadhyay, Susmita; GESIS – Leibniz Institute for the Social Sciences, Dessi, Danilo; University of Sharjah, Dimitrov, Dimitar; GESIS – Leibniz Institute for the Social Sciences, Dietze, Stefan; Heinrich Heine University Düsseldorf
Publication year: 2025
DOI: 10.7802/2825
Study number: SDN-10.7802-2825
Contributor, Institution, Role: [Dessi, Danilo; University of Sharjah (Contact Person) [=] Dimitrov, Dimitar; GESIS – Leibniz Institute for the Social Sciences, (Contact Person) [=] Dietze, Stefan; Heinrich Heine University Düsseldorf (Contact Person)]
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2825
GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2555
Other Title (type): A Twitter streaming dataset that captures the outbreak of war between Russia and Ukraine in 2022 (Subtitle)
Abstract: We publish a dataset of raw tweets collected via the Twitter Streaming API in the context of the onset of the war, which Russia started in Ukraine on February 24, 2022. I ... more
Abstract: We publish a dataset of raw tweets collected via the Twitter Streaming API in the context of the onset of the war, which Russia started in Ukraine on February 24, 2022. I ... more
Availability: Free access (without registration)
License: Data can only be used for non-commercial research
Subject area: [Science and Engineering, Applied Sciences]
Topics: Ukraine, Russia, war, war of aggression, twitter, discourse, invasion, opinion formation, public opinion, disinformation
Date(s) of Data Collection: 2022-02-17; 2022-03-03
Universe: All English Tweets between February 17 and March 3, 2022 containing at least one of the hashtags #ukraine, #russia, and #conflict.
Sampling Procedure: Probability Sample - Simple random Sample
Primärforschende, Institution: Pohl, Janina; Universität Münster, Markmann, Simon; Universität Münster, Assenmacher, Dennis; GESIS - Leibniz-Institut für Sozialwissenschaften, Grimme, Christian; Universität Münster
Publication year: 2023
DOI: 10.7802/2555
Study number: SDN-10.7802-2555
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2555
GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2472
Abstract: TweetsKB is a public RDF corpus of anonymized data for a large collection of annotated tweets. The dataset currently contains data for nearly 3.0 billion tweets, spanning ... more
Abstract: TweetsKB is a public RDF corpus of anonymized data for a large collection of annotated tweets. The dataset currently contains data for nearly 3.0 billion tweets, spanning ... more
Availability: Free access (without registration)
License: Data can only be used for non-commercial research
Date(s) of Data Collection: 2021-01; 2021-12
Universe: a 1% sample of all tweets from Jan 2021 until Dec 2021
Notes: The dataset consists of english and spam-filtered tweets from a 1% sample of all tweets from Jan 2021 until Dec 2021.
Primärforschende, Institution: Baran, Erdal; GESIS - Leibniz-Institut für Sozialwissenschaften, Bensmann, Felix; GESIS - Leibniz-Institut für Sozialwissenschaften, Dietze, Stefan; GESIS - Leibniz-Institut für Sozialwissenschaften & Heinrich-Heine-University Düsseldorf, Germany & L3S Research Center, Hannover, Germany
Publication year: 2022
DOI: 10.7802/2472
Study number: SDN-10.7802-2472
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2472
Publications: P. Fafalios, V. Iosifidis, E. Ntoutsi, and S. Dietze,
TweetsKB: A Public and Large-Scale RDF Corpus of Annotated Tweets,
15th Extended Semantic Web Conference (ESWC'18), Heraklion, Crete, Greece, June 3-7, 2018.
GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2473
Abstract: TweetsKB is a public RDF corpus of anonymized data for a large collection of annotated tweets. The dataset currently contains data for nearly 3.0 billion tweets, spanning ... more
Abstract: TweetsKB is a public RDF corpus of anonymized data for a large collection of annotated tweets. The dataset currently contains data for nearly 3.0 billion tweets, spanning ... more
Availability: Free access (without registration)
License: Data can only be used for non-commercial research
Date(s) of Data Collection: 2022-01; 2022-08
Universe: a 1% sample of all tweets from Jan 2022 until Aug 2022
Notes: The dataset consists of english and spam-filtered tweets from a 1% sample of all tweets from Jan 2022 until Aug 2022.
Primärforschende, Institution: Baran, Erdal; GESIS - Leibniz-Institut für Sozialwissenschaften, Bensmann, Felix; GESIS - Leibniz-Institut für Sozialwissenschaften, Dietze, Stefan; GESIS - Leibniz-Institut für Sozialwissenschaften & Heinrich-Heine-University Düsseldorf, Germany & L3S Research Center, Hannover, Germany
Publication year: 2022
DOI: 10.7802/2473
Study number: SDN-10.7802-2473
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2473
Publications: P. Fafalios, V. Iosifidis, E. Ntoutsi, and S. Dietze, TweetsKB: A Public and Large-Scale RDF Corpus of Annotated Tweets, 15th Extended Semantic Web Conference (ESWC'18), Heraklion, Crete, Greece, June 3-7, 2018.
GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2434
Abstract: This repository contains an expert-annotated dataset of 1261 tweets and the corresponding annotation framework from the publication "SciTweets - A Dataset and Annotation ... more
Abstract: This repository contains an expert-annotated dataset of 1261 tweets and the corresponding annotation framework from the publication "SciTweets - A Dataset and Annotation ... more
Availability: Free access (without registration)
Subject area: [Other Fields of the Applied Social Sciences [=] Science and Engineering, Applied Sciences]
Date(s) of Data Collection: 2013-01; 2020-12
Primärforschende, Institution: Hafid, Salim; LIRMM, CNRS, University of Montpellier, Montpellier, France, Schellhammer, Sebastian; GESIS - Leibniz Institute for the Social Sciences, Cologne, Germany, Bringay, Sandra; LIRMM, CNRS, University of Montpellier, Montpellier, France, Todorov, Konstantin; LIRMM, CNRS, University of Montpellier, Montpellier, France, Dietze, Stefan; GESIS - Leibniz Institute for the Social Sciences Cologne & Heinrich-Heine-University Düsseldorf, Germany
Publication year: 2022
DOI: 10.7802/2434
Study number: SDN-10.7802-2434
Project funder: This work is supported by the AI4Sci grant, co-funded by MESRI (France, grant UM-211745), BMBF (Germany, grant 01IS21086), and the French National Research Agency (ANR)
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2434
Version history:
| Version number | Changes in this version |
|---|---|
| 1.0.0 (aktuelle Version) | 2022-08-01 https://doi.org/10.7802/2434 |
German Institute for Global and Area Studies (GIGA). Data File Version 1.0.0, https://doi.org/10.7802/2450
Other Title (type): LegRO Dataset (Subtitle)
Abstract: In an era of increasing political challenges to global and regional organizations, it is crucial to understand how they claim legitimacy and how successful they are in th ... more
Abstract: In an era of increasing political challenges to global and regional organizations, it is crucial to understand how they claim legitimacy and how successful they are in th ... more
Availability: Free access (without registration)
Embargo until: 2024-09-01
License: CC BY 4.0: Attribution (https://creativecommons.org/licenses/by/4.0/deed.de)
Subject area: [Political Science]
Topics: legitimation, legitimacy, international organization, discourse, discourse analysis, communication
Date(s) of Data Collection: 2019-09-01; 2021-11-01
Geographic coverage (free): [Weltweit]
Universe: Regional intergovernmental organizations (see abstract for a list of these)
Sampling Procedure: Nicht-WahrscheinlichkeitsauswahI
Temporal Research Design: Time series
Mode of Data Collection: Content Analysis
Primärforschende, Institution: Lenz, Tobias; Leuphana Universität Lüneburg, Schmidtke, Henning; German Institute for Global and Area Studies (GIGA), Krösche, Niklas; German Institute for Global and Area Studies (GIGA), Schirmer, Swantje; German Institute for Global and Area Studies (GIGA)
Publication year: 2022
DOI: 10.7802/2450
Study number: SDN-10.7802-2450
Project funder: Wissenschaftsgemeinschaft Gottfried Wilhelm Leibniz
Publisher: German Institute for Global and Area Studies (GIGA)
Current Version: 1.0.0, https://doi.org/10.7802/2450
Version history:
| Version number | Changes in this version |
|---|---|
| 1.0.0 (aktuelle Version) | 2022-10-11 https://doi.org/10.7802/2450 |
