11 studies found in English from a total of 36726
Keywords
text analysis 
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Research on motions as dealt with in Dutch Parliament 2009-2011

R. Popping (University of Groningen)
This dataset contains the data used in the following articles:- Popping, Roel (2013). "Coding issues in cognitive mapping of games." Open Journal of Political Science, 3 (1): 16-23, doi: 10.4236/ojps.2013.31003- Goeree, Mariska & Popping, Roel (2014). “Types of motions as proposed in the Dutch House of Representatives.” Quality and Quantity, 48 (6): 3253-3269, doi:...
Study description available in:EN
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TweetsCOV19 - A Semantically Annotated Corpus of Tweets About the COVID-19 Pandemic (Part 4, January 2021 - August 2022)

Dimitrov, Dimitar ( GESIS - Leibniz-Institut für Sozialwissenschaften); Baran, Erdal ( GESIS - Leibniz-Institut für Sozialwissenschaften); Fafalios, Pavlos ( Institute of Computer Science, FORTH-ICS, Heraklion, Greece); (4 more)
TweetsCOV19 is a semantically annotated corpus of Tweets about the COVID-19 pandemic. It is a subset of TweetsKB and aims at capturing online discourse about various aspects of the pandemic and its societal impact. Metadata information about the tweets as well as extracted entities, sentiments, hashtags, user mentions, and resolved URLs are exposed in RDF using established...
Study description available in:DEEN
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TweetsKB: A Public and Large-Scale RDF Corpus of Annotated Tweets (Part 10, Jan 2021 - Dec 2021)

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)
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 than 9 years (February 2013 - August 2022). Metadata information about the tweets as well as extracted entities, sentiments, hashtags, user mentions and URLs are exposed in RDF using established RDF/S...
Study description available in:DEEN
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TweetsKB: A Public and Large-Scale RDF Corpus of Annotated Tweets (Part 11, Jan 2022 - Aug 2022)

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)
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 than 9 years (February 2013 - August 2022). Metadata information about the tweets as well as extracted entities, sentiments, hashtags, user mentions and URLs are exposed in RDF using established RDF/S...
Study description available in:DEEN
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TweetsKB: A Public and Large-Scale RDF Corpus of Annotated Tweets (Part 12, Sep 2022 - Jun 2023)

Schellhammer, Sebastian ( GESIS - Leibniz-Institut für Sozialwissenschaften); Baran, Erdal ( GESIS - Leibniz-Institut für Sozialwissenschaften); Bensmann, Felix ( GESIS - Leibniz-Institut für Sozialwissenschaften); (3 more)
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, spanning more than 10 years (February 2013 - June 2023). Metadata information about the tweets as well as extracted entities, sentiments, hashtags, user mentions and URLs are exposed in RDF using established...
Study description available in:DEEN
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TeleScope: A Longitudinal Dataset for Aggregated User Interactions and Information Dissemination on Telegram

Gangopadhyay, Susmita ( GESIS – Leibniz Institute for the Social Sciences); Dessi, Danilo ( University of Sharjah); Dimitrov, Dimitar ( GESIS – Leibniz Institute for the Social Sciences); (1 more)
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 500k channels accounting for about 120M crawled messages. In addition to metadata, TeleScope suite provides enrichments like language detection and active periods for each channel and telegram entity...
Study description available in:DEEN
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Friends and Foes: the instrumentalisation of Israel and Iran in the Maghreb

Werenfels, Isabelle ( Stiftung Wissenschaft und Politik); Bochtler, Paul ( Stiftung Wissenschaft und Politik)
The research data described below was collected as part of the SWP study "Friends and Foes: the instrumentalisation of Israel and Iran in the Maghreb". The period of qualitative research and data collection was from 1.1.2020 to 31.1.2024. The project was designed to be exploratory. The central research question that emerged was how decision-makers in the three Maghreb states...
Study description available in:DEEN
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Communicating Strategically about What? Europe and China in the Kenyan Media

Eickhoff, Karoline ( Stiftung Wissenschaft und Politik); Bochtler, Paul ( Stiftung Wissenschaft und Politik)
European actors are increasingly relying on strategic communication tools in their external relations, especially in key partner countries like Kenya. Based on a large-scale media screening and interviews with media experts, this paper examines which issues related to the EU/Europe and China have received the most media coverage in Kenya over the past decade (2013–2023). The...
Study description available in:DEEN
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ParlLawSpeech

Schwalbach, Jan ( GESIS – Leibniz Institute for the Social Sciences); Hetzer, Lukas ( Unversity of Cologne); Proksch, Sven-Oliver ( University of Cologne); (2 more)
Parliaments are key institutions of democracy. The documents that parliaments produce - including plenary protocols, legislative bills, and ultimately adopted laws - thus contain invaluable information for understanding how democratic governance works while advances in natural language processing offer an ever increasing potential to extract and analyse this information...
Study description available in:DEEN
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An archive and corpus of Twitter/X's policies for Tweet redistribution 2006-2023

Golland, Luisa ( GESIS - Leibniz-Institute for the Social Sciences); Recker, Jonas ( GESIS - Leibniz-Institute for the Social Sciences); Schwalbach, Jan ( GESIS - Leibniz-Institute for the Social Sciences)
When researchers publish results based on the analysis of Tweets, good practice requires sharing the Tweets (or Tweet IDs) to enable reproducibility of the results. What may or may not be shared depends on the Twitter/X terms for the redistribution of the platform’s content. As a complete archive of these terms is currently not easily accessible, we used The Internet...
Study description available in:DEEN
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StateParl

Beltermann, Eric ( Freie Universität Berlin); Souris, Antonios ( Freie Universität Berlin); Nguyen, Christoph ( Freie Universität Berlin); (1 more)
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. Stenographic protocols of German state parliaments have become an important source for researchers, students, and journalists. StateParl integrates these protocols in an accessible, coherent, and...
Study description available in:DEEN
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