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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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Tweetplomacy_-_List_of_Handles.xlsx
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File size: | 201.25 KB |
Tweetplomacy_-_List_of_Keywords.xlsx
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tweetplomacy-private-23-DE.gz
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tweetplomacy-private-23-EN.gz
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tweetplomacy-private-23-ES.gz
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tweetplomacy-private-23-FR.gz
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tweetplomacy-public-23-DE.gz
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tweetplomacy-public-23-EN.gz
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tweetplomacy-public-23-ES.gz
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tweetplomacy-public-23-FR.gz
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tweetplomacy_Codebook_jsonl-data.txt
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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
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1000015666_to_1054523330.zip
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Channel_Interaction_Data_CID__v1-0-0.zip
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MD5: | 1b5a4476457db7fe65ff84658891a0a0 |
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Type of file: | Research Data |
File size: | 645.95 MB |
Additional information about the file | This folder describes message propagation and interaction dynamics between channels. It contains structured information about user interactions, supporting comprehensive analyses of channel behavior and interactions. This folder contains three files: Channel_to_Channel_Graph: Illustrates how Telegram channels are connected through message forwarding. Channels are represented as nodes, and each forwarding event is depicted as a directed edge. The file includes the source channel ID, destination channel ID, and a list of message IDs forwarded between the two channels. A combination of the source channel ID and the message ID allows retrieval of the message's contents. Message_Forwarding_Flows: Provides a detailed record of the complete path a message takes as it is forwarded across channels. It includes: Connected Component ID: A unique identifier for the propagation of a specific message. Connected Component Size: The total length of the message's propagation, indicating its reach. Connected Component Nodes: A detailed sequence combining channel IDs and message IDs, representing the entire journey of the message. As a message traverses the network, it moves through various channels, each associated with distinct channel IDs and message IDs. This file comprehensively maps the entire propagation path of the message across the Telegram network. Aggregated_User_Interactions: Provides an aggregated view of user interactions, such as reactions, forwards, and views associated with a message across the entire network. Each record in this file is linked to the Message Forwarding Flows through the connected component ID, ensuring that the data corresponds to a specific message as it propagates through the Telegram network. |
Channel_Metadata_and_Enrichments_v1-0-0.zip
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MD5: | 87c265af1ad04f73620bb1e81c1a3b17 |
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Type of file: | Research Data |
File size: | 34.69 MB |
Version number: | 1 |
Version date: | 2025-01-14 |
Additional information about the file | This folder contains three files: Source Channel Metadata: The largest collection of Telegram channel metadata, comprising 534,137 channels discovered through a snowball sampling approach. This dataset serves as a comprehensive registry for selecting channels tailored to specific research needs. Channel_Language: Contains the primary language detected for 71K public channels within the 534,137 channels, using the Python Langdetect library (Langdetect on PyPI). Temporal Channel Metadata: Includes information about the distribution of messages across daily hours within a single channel, enabling analysis of the most active time intervals for specific channels. |
TeleScope_seedlist_v1-0-0.xls
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MD5: | ef01db29b9e47bd60b57eca8c41abeb3 |
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Type of file: | Research Data |
File size: | 36.5 KB |
Additional information about the file | In addition to the data suite, we provide seedlists comprising 251 unique channel IDs sourced from the top 100 channels based on citation, reach, and subscriber categories, as listed on the TGStat website. It is important to note that while we initially gathered data from the top 100 channels, some IDs could not be retrieved or resolved. This may be due to changes in channel usernames or the deletion of entire channels during the extraction period. |
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TeleScope_readme_v1-0-0.txt
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MD5: | 90bc044b4aa118224fcca356c2da837a |
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Type of file: | Technical Report |
File size: | 4.62 KB |
Version number: | 1 |
Version date: | 2025-01-21 |
SWP - German Institute for International and Security Affairs. Data File Version 1.0.0, https://doi.org/10.7802/2736
Other Title (type): health_stratext (Alternativer Titel)
Abstract: Der deutsche Review-Prozess zur globalen Gesundheitsstrategie bietet die Chance, einen stärkeren Fokus auf die horizontale Verzahnung der deutschen Bemühungen mit denen e ... more
Abstract: Der deutsche Review-Prozess zur globalen Gesundheitsstrategie bietet die Chance, einen stärkeren Fokus auf die horizontale Verzahnung der deutschen Bemühungen mit denen e ... more
Availability: Free access (without registration)
License: CC BY 4.0: Namensnennung (https://creativecommons.org/licenses/by/4.0/deed.de)
Subject area: [Europapolitik [=] Sozialökonomik, Bildungs- und Gesundheitsökonomik]
Topics: health policy, European Policy, public health care delivery system, text processing, political strategy
Date(s) of Data Collection: 2024-04-15; 2024-07-02
Geographic coverage: [Deutschland / DE [=] Frankreich / FR [=] Niederlande / NL [=] Schweden / SE]
Geographic coverage (free): [EU]
Primärforschende, Institution: Bayerlein, Michael; Stiftung Wissenschaft und Politik (SWP)
Publication year: 2024
DOI: 10.7802/2736
Study number: SDN-10.7802-2736
Contributor, Institution, Role: [Hirsch, Oleg; Stiftung Wissenschaft und Politik (Datenmanager/in) [=] Schwebel, Franziska; Stiftung Wissenschaft und Politik (Projektbeteiligte/r)]
Project funder: Bundesministerium für Gesundheit
Publisher: SWP - German Institute for International and Security Affairs
Current Version: 1.0.0, https://doi.org/10.7802/2736
Publications: Federal Ministry of Health. (2020). Global health strategy of the German federal government. https://www.bundesgesundheitsministerium.de/service/publikationen/details/global-health-strategy-of-the-german-federal-government, Directorate-General for Health and Food Safety, & Directorate-General for International Partnerships. (2022, November 30). EU global health strategy: Better health for all in a changing world. European Commission. https://health.ec.europa.eu/publications/eu-global-health-strategy-better-health-all-changing-world_en, Ministry for Europe and Foreign Affairs, Directorate General for Global Affairs, Culture, Education and International Development. (2023, October 12). France global health strategy 2023–2027: Achieving SDG3 through multilateral action. https://www.diplomatie.gouv.fr/IMG/pdf/a4_global_health_strategy_en_v2_cle477d3a.pdf, Ministry of Foreign Affairs. (2023, March 29). Dutch global health strategy 2023-2030: Working together for health worldwide. Government of the Netherlands. https://www.government.nl/documents/publications/2023/03/29/dutch-global-health-strategy, Ministry of Health and Social Affairs. (n.d.). Strategy for Sweden´s cooperationg with the World Health Organisation (WHO) 2021-2025. https://www.government.se/contentassets/3bdd577ed934481ab16f05d2b1986940/strategy-for-swedens-cooperation-with-the-world-health-organization-who-20212025-pdf.pdf
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health_stratext_DE.txt
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MD5: | 6f3ef354e19ca1026aa99796860676e2 |
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Type of file: | Research Data |
File size: | 83.22 KB |
Version number: | 1.0 |
Version date: | 2024-07-10 |
Language: | English / en |
Source | Federal Ministry of Health. (2020). Global health strategy of the German federal government. https://www.bundesgesundheitsministerium.de/service/publikationen/details/global-health-strategy-of-the-german-federal-government |
health_stratext_EU.txt
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MD5: | 5e0a166ea07d220bdb385ab0fe8dd181 |
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Type of file: | Research Data |
File size: | 90.58 KB |
Version number: | 1.0 |
Version date: | 2024-07-10 |
Language: | English / en |
Source | Directorate-General for Health and Food Safety, & Directorate-General for International Partnerships. (2022, November 30). EU global health strategy: Better health for all in a changing world. European Commission. https://health.ec.europa.eu/publications/eu-global-health-strategy-better-health-all-changing-world_en |
health_stratext_FR.txt
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Type of file: | Research Data |
File size: | 133.98 KB |
Version number: | 1.0 |
Version date: | 2024-07-10 |
Language: | English / en |
Source | Ministry for Europe and Foreign Affairs, Directorate General for Global Affairs, Culture, Education and International Development. (2023, October 12). France global health strategy 2023–2027: Achieving SDG3 through multilateral action. https://www.diplomatie.gouv.fr/IMG/pdf/a4_global_health_strategy_en_v2_cle477d3a.pdf |
health_stratext_NL.txt
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MD5: | dc6888e5b92705e5865668825b808e32 |
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Type of file: | Research Data |
File size: | 88.14 KB |
Version number: | 1.0 |
Version date: | 2024-07-10 |
Language: | English / en |
Source | Ministry of Foreign Affairs. (2023, March 29). Dutch global health strategy 2023-2030: Working together for health worldwide. Government of the Netherlands. https://www.government.nl/documents/publications/2023/03/29/dutch-global-health-strategy |
health_stratext_SE.txt
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MD5: | 632d3fbf42ab331055d541bb1f3629c2 |
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Type of file: | Research Data |
File size: | 26.14 KB |
Version number: | 1.0 |
Version date: | 2024-07-10 |
Language: | English / en |
Source | Ministry of Health and Social Affairs. (n.d.). Strategy for Sweden´s cooperationg with the World Health Organisation (WHO) 2021-2025. https://www.government.se/contentassets/3bdd577ed934481ab16f05d2b1986940/strategy-for-swedens-cooperation-with-the-world-health-organization-who-20212025-pdf.pdf |
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health_stratext_Replikation.R
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MD5: | 2e5d9ca721b569b2a483809048152978 |
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Type of file: | Syntax |
File size: | 16.65 KB |
Version number: | 1.0 |
Version date: | 2024-07-10 |
Software and Version | R, > 4.4 |
Additional information about the file | Aufbereitungs- und Analysesyntax, inklusive auskommentierte Outputs. |
Downloads:
health_stratext_Methodenbericht.pdf
Zusätzliche Angaben zu der Datei show
Zusätzliche Angaben zu der Datei show
MD5: | 12b3ac43fc8f51a8e0802a76f33c7555 |
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Type of file: | Methods Report |
File size: | 129.13 KB |
Version number: | 1.0 |
Version date: | 2024-07-10 |
Language: | German / de |