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GESIS Search
Find information about social science research data, publications on research data as well as open access publications.
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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
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- Codebook
Purpose of use:
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Downloads:
Tweetplomacy_-_List_of_Handles.xlsx
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MD5: | cdd904945157b0993ed733b677567cd2 |
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Type of file: | Research Data |
File size: | 201.25 KB |
Tweetplomacy_-_List_of_Keywords.xlsx
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MD5: | 8c5cd821220576b8a3539e0b8db9ce75 |
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Type of file: | Research Data |
File size: | 10.5 KB |
tweetplomacy-private-23-DE.gz
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MD5: | 131fb31c72ab6e8c006a77ac96535ced |
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Type of file: | Research Data |
File size: | 9.1 MB |
tweetplomacy-private-23-EN.gz
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MD5: | ecbc82c4185d7eeeb1818c087e0b0444 |
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Type of file: | Research Data |
File size: | 468.23 MB |
tweetplomacy-private-23-ES.gz
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MD5: | 3f24a74eb4807aa04f3f0df70505c96a |
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Type of file: | Research Data |
File size: | 160.06 MB |
tweetplomacy-private-23-FR.gz
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MD5: | 84d2d29d57eb5f0a52d44dcd7b686bf1 |
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Type of file: | Research Data |
File size: | 16.17 MB |
tweetplomacy-public-23-DE.gz
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MD5: | 276490296bd4d9397561a1349cd06cef |
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Type of file: | Research Data |
File size: | 820.07 KB |
tweetplomacy-public-23-EN.gz
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MD5: | 022971b56af2f35cdd2b67b3c0990542 |
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Type of file: | Research Data |
File size: | 33.47 MB |
tweetplomacy-public-23-ES.gz
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MD5: | 38879b82f67370f6294299dd5d72d56e |
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Type of file: | Research Data |
File size: | 8.26 MB |
tweetplomacy-public-23-FR.gz
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MD5: | cdbacca438cb1767ddab73061c0e701e |
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Type of file: | Research Data |
File size: | 1.58 MB |
Downloads:
tweetplomacy_Codebook_jsonl-data.txt
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MD5: | 3ab7dd98d02df4fee3c1eaf8f1cdf80d |
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Type of file: | Codebook |
File size: | 1.65 KB |
GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2744
Other Title (type): Text Corpus of Speeches in German State Parliaments (Untertitel)
Abstract: StateParl includes the speeches in all 16 German state parliaments between 2000 and 2022. The database consists of 9,531,215 paragraphs and 345,068,110 words. Stenographi ... more
Abstract: StateParl includes the speeches in all 16 German state parliaments between 2000 and 2022. The database consists of 9,531,215 paragraphs and 345,068,110 words. Stenographi ... more
Availability: Restricted Access
Subject area: [Politikwissenschaft [=] Sozialwissenschaften [=] Kommunikationswissenschaften [=] Staat, staatliche Organisationsformen [=] politische Willensbildung, politische Soziologie, politische Kultur [=] Kommunikationssoziologie, Sprachsoziologie, Soziolinguistik]
Topics: Landtag, federalism, parliament, parliamentary debate, party system, multi-party system, coalition, coalition policy, content analysis, text analysis, political communication, discourse analysis
Date(s) of Data Collection: 2023-04; 2023-10
Geographic coverage: Germany / DE
Geographic coverage (free): [Baden-Württemberg [=] Bayern [=] Berlin [=] Brandenburg [=] Bremen [=] Hamburg [=] Hessen [=] Mecklenburg-Vorpommern [=] Niedersachsen [=] Nordrhein-Westfalen [=] Rheinland-Pfalz [=] Saarland [=] Sachsen [=] Sachsen-Anhalt [=] Schleswig-Holstein [=] Thüringen]
Universe: Speeches in the 16 German state parliaments between 2000 and 2022
Sampling Procedure: Total Universe / Complete enumeration
Primärforschende, Institution: Beltermann, Eric; Freie Universität Berlin, Souris, Antonios; Freie Universität Berlin, Nguyen, Christoph; Freie Universität Berlin, Kropp, Sabine; Freie Universität Berlin
Publication year: 2024
DOI: 10.7802/2744
Study number: SDN-10.7802-2744
Project funder: VolkswagenStiftung, Freie Universität Berlin
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2744
Version history:
Version number | Changes in this version |
---|---|
2.0.0 (aktuelle Version) | 2025-03-03
|
1.0.0 | 2024-07-31 https://doi.org/10.7802/2744 |
Downloads
- Datasets
- Codebook
- Project report
Note:
Access to this dataset will be granted only for scientific purposes upon request. Attribution is required. Redistribution is not allowed.
Please request access by email: Request access.
As soon as your request has been approved, you can log in and download the data here.
Purpose of use:
Downloads:
Access to this dataset will be granted only for scientific purposes upon request. Attribution is required. Redistribution is not allowed.
Please request access by email: Request access.
As soon as your request has been approved, you can log in and download the data here.
Purpose of use:
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stateparl-2.3.0-beta_csv.zip
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MD5: | 88984a2568a8980bd18a7b9f3a1088bf |
---|---|
Type of file: | Research Data |
File size: | 850.75 MB |
Version number: | 2.3.0 |
Version date: | 2024-07-15 |
Language: | German / de,English / en |
Number of variables: | 9 |
Number of units: | 9534937 |
Source | Stenographic protocols of the state parliaments |
stateparl-2.3.0-beta_rds.zip
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MD5: | 19117f7399c3a58e28a92be08011209b |
---|---|
Type of file: | Research Data |
File size: | 788.5 MB |
Version number: | 2.3.0 |
Version date: | 2024-07-15 |
Language: | German / de,English / en |
Number of variables: | 9 |
Number of units: | 9534937 |
Source | Stenographic protocols of the state parliaments |
stateparl-2.3.0-beta_xml.zip
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MD5: | 032be1f955a0777194a834e1a2aecaab |
---|---|
Type of file: | Research Data |
File size: | 950.98 MB |
Version number: | 2.3.0 |
Version date: | 2024-07-15 |
Language: | German / de,English / en |
Number of variables: | 9 |
Number of units: | 9534937 |
Source | Stenographic protocols of the state parliaments |
Note:
Access to this dataset will be granted only for scientific purposes upon request. Attribution is required. Redistribution is not allowed.
Please request access by email: Request access.
As soon as your request has been approved, you can log in and download the data here.
Downloads:
Access to this dataset will be granted only for scientific purposes upon request. Attribution is required. Redistribution is not allowed.
Please request access by email: Request access.
As soon as your request has been approved, you can log in and download the data here.
Downloads:
20240729_StateParl_codebook_final.pdf
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MD5: | 1fe99b627f140997294f23200d30223b |
---|---|
Type of file: | Codebook |
File size: | 178.97 KB |
Version date: | 2024-07-29 |
Language: | English / en |
Note:
Access to this dataset will be granted only for scientific purposes upon request. Attribution is required. Redistribution is not allowed.
Please request access by email: Request access.
As soon as your request has been approved, you can log in and download the data here.
Downloads:
Access to this dataset will be granted only for scientific purposes upon request. Attribution is required. Redistribution is not allowed.
Please request access by email: Request access.
As soon as your request has been approved, you can log in and download the data here.
Downloads:
20240729_StateParl_documentation_and_codebook_final.pdf
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MD5: | a38bc91a26113828a5cca3ae38732ec3 |
---|---|
Type of file: | Project Report |
File size: | 1004.89 KB |
Version date: | 2024-07-29 |
Language: | English / en |
GESIS, Cologne. Data File Version 2.0.0, https://doi.org/10.7802/2854
Other Title (type): Text Corpus of Speeches in German State Parliaments (Subtitle)
Abstract: StateParl contains the parliamentary speeches of members of parliament and government representatives in all 16 German state parliaments from 1.1.2000 to 31.12.2023. Sten ... more
Abstract: StateParl contains the parliamentary speeches of members of parliament and government representatives in all 16 German state parliaments from 1.1.2000 to 31.12.2023. Sten ... more
Availability: Free access (with registration)
Subject area: [Political Science [=] Social Sciences [=] Science of Communication [=] Political System, Constitution, Government [=] Political Process, Elections, Political Sociology, Political Culture [=] Sociology of Communication, Sociology of Language, Sociolinguistics]
Topics: Landtag, federalism, parliament, parliamentary debate, party system, multi-party system, coalition, coalition policy, content analysis, text analysis, political communication, discourse analysis
Date(s) of Data Collection: 2023-04; 2024-12
Geographic coverage: [Germany / DE]
Geographic coverage (free): [Baden-Württemberg [=] Bayern [=] Berlin [=] Brandenburg [=] Bremen [=] Hamburg [=] Hessen [=] Mecklenburg-Vorpommern [=] Niedersachsen [=] Nordrhein-Westfalen [=] Rheinland-Pfalz [=] Saarland [=] Sachsen [=] Sachsen-Anhalt [=] Schleswig-Holstein [=] Thüringen]
Universe: Speeches in the 16 German state parliaments between 2000 and 2023
Sampling Procedure: Total Universe / Complete enumeration
Primärforschende, Institution: Beltermann, Eric; Freie Universität Berlin, Souris, Antonios; Freie Universität Berlin, Nguyen, Christoph; Freie Universität Berlin, Kropp, Sabine; Freie Universität Berlin
Publication year: 2025
DOI: 10.7802/2854
Study number: SDN-10.7802-2854
Project funder: VolkswagenStiftung, Freie Universität Berlin
Publisher: GESIS, Cologne
Current Version: 2.0.0, https://doi.org/10.7802/2854
Version history:
Version number | Changes in this version |
---|---|
2.0.0 (aktuelle Version) | 2025-03-03
|
1.0.0 | 2024-07-31 https://doi.org/10.7802/2744 |
Downloads
- Datasets
- Project report
Purpose of use:
The download of these files requires a login at GESIS. Registration at GESIS is free of charge, open to all and gives you access to various GESIS services.
Downloads:
The download of these files requires a login at GESIS. Registration at GESIS is free of charge, open to all and gives you access to various GESIS services.
Downloads:
stateparl_csv.zip
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MD5: | d8e82b1c230126ba67b0572d1611f548 |
---|---|
Type of file: | Research Data |
File size: | 1.14 GB |
Version number: | 2.0 |
Version date: | 2025-03-04 |
Language: | German / de,English / en |
Source | Stenographic protocols of the state parliaments |
Additional information about the file | The zip-file contains three comma-separated datasets: - mandateMappings.csv (Number of units: 10,179; Number of Variables: 2) - paragraphs.csv (Number of units: 14,092,664; Number of Variables: 12) - protocols.csv (Number of units: 8,268; Number of Variables: 6) |
stateparl_rds.zip
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MD5: | d2fd1091de4e0d0ebe06c8ebca9c1cc6 |
---|---|
Type of file: | Research Data |
File size: | 1.03 GB |
Version number: | 2.0 |
Version date: | 2025-03-04 |
Language: | German / de,English / en |
Source | Stenographic protocols of the state parliaments |
Additional information about the file | The zip-file contains three datasets: - mandateMappings.rds (Number of units: 10,179; Number of Variables: 2) - paragraphs.rds (Number of units: 14,092,664; Number of Variables: 12) - protocols.rds (Number of units: 8,268; Number of Variables: 6) |
The download of these files requires a login at GESIS. Registration at GESIS is free of charge, open to all and gives you access to various GESIS services.
Downloads:
Downloads:
20250211_StateParl_documentation_and_codebook_release-candidate_final.pdf
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MD5: | fe9204b54522162b35d167d76b117503 |
---|---|
Type of file: | Project Report |
File size: | 1.04 MB |
Language: | English / en |
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 |
Downloads
- Datasets
- Codebook
- Other documents
Purpose of use:
Downloads:
Downloads:
LegRO_dataset_AR_v1-0-0.csv
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MD5: | 072332b6e8ad6c84c764e423fbad25a2 |
---|---|
Type of file: | Research Data |
File size: | 189.92 KB |
Version number: | 1 |
Version date: | 2023-08-16 |
Language: | English / en |
Number of variables: | 52 |
Number of units: | 1120 |
Additional information about the file | This dataset provides the variables collected by the LegRO project in the organization-year format based on the coding of annual reports only (excluding final communiqués of the meetings of Heads of State and Government). All codings are made available to researchers in full text as MAXQDA files upon request from the authors so that coding decisions can be understood. |
LegRO_dataset_COM_v1-0-0.csv
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MD5: | baa1ff5dc68723fb09f072208a925857 |
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Type of file: | Research Data |
File size: | 184.59 KB |
Version number: | 1 |
Version date: | 2023-08-16 |
Language: | English / en |
Number of variables: | 52 |
Number of units: | 1120 |
Additional information about the file | This dataset provides the variables collected by the LegRO project in the organization-year format based on coding the final communiqués of the Heads of State and Government meetings only (excluding annual reports). All codings are made available to researchers in full text as MAXQDA files upon request from the authors so that coding decisions can be understood. |
LegRO_dataset_v1-0-0.csv
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MD5: | 7dd02ae928284b3a96274a0bf7337178 |
---|---|
Type of file: | Research Data |
File size: | 185.75 KB |
Version number: | 1 |
Version date: | 2023-08-16 |
Language: | English / en |
Number of variables: | 54 |
Number of units: | 1120 |
Software and Version | R,Excel,Stata |
Additional information about the file | This dataset provides the variables collected by the LegRO project in the organization-year format. All codings are made available to researchers in full text as MAXQDA files upon request from the authors so that coding decisions can be understood |
Downloads:
LegRO_Codebook_v1-0-0.pdf
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MD5: | b8433d45b41030053be1b02418eb0ac0 |
---|---|
Type of file: | Codebook |
File size: | 708.16 KB |
Version number: | 1.1 |
Version date: | 2023-08-17 |
Language: | English / en |
Software and Version | Acrobat Reader |
Additional information about the file | This codebook provides information on the definitions, coding procedures, and practices used in the LegRO project. Since 18.08.2023 this file is available in a slightly adapted version. Some typos have been corrected and more entries have been added to the source list. |
Downloads:
LegRO_Dataset_Guide_v1-0-0.pdf
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MD5: | 01ce0799af6b42addf793df4df04ca6e |
---|---|
Type of file: | Other Documents |
File size: | 177.44 KB |
Version number: | 1 |
Version date: | 2022-10-10 |
Language: | English / en |
Software and Version | Acrobat Reader |
Additional information about the file | This guide provides an overview of all variables included in the LegRO dataset |
LegRO_Document_List_v1-0-0.pdf
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MD5: | 54ce0f12d3e1550eb77552bc90c45c89 |
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Type of file: | Other Documents |
File size: | 654.89 KB |