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DP-R|EX Data publication

DP-R|EX is proud to announce the release of the dataset “Radical and Extremist Attitudes in Europe”, now available at the GESIS Data Archive. The data are available here:

https://doi.org/10.4232/1.14697

Understanding the roots and dynamics of political and religious extremism has become a central challenge for contemporary social science. This cross-national study offers a unique opportunity to analyze how different forms of extremism—left-wing, right-wing, and religious—emerge, interact, and evolve across European societies.

The computer-assisted surveys (CASI) comprise 18,431 interviews from pretests and two main waves conducted in six European countries (Greece, Hungary, . At its core, the study goes beyond conventional approaches by capturing both explicit and implicit extremist attitudes, including those that reject democracy as a political system. With two survey waves conducted across multiple European countries, the data enable robust cross-national and longitudinal comparisons. Representative samples of majority populations are complemented by oversamples of Muslim respondents, allowing for detailed analyses across societal groups that are often underrepresented in survey research.

A key strength of the study lies in its innovative measurement strategy. It includes newly developed and validated scales of political and religious extremism, combined with indirect methods such as an Implicit Association Test (IAT) to address social desirability bias. This makes it possible to study not only what respondents openly report, but also more latent or less socially acceptable attitudes. The data provides rich contextual information, including sociodemographics, political and ideological orientations, religiosity, psychological dispositions, and perceived grievances. This allows researchers to disentangle the shared and distinct drivers of different forms of extremism and to examine their consequences for social cohesion and democratic stability across different institutional settings.

A study description, including information on the covered concepts and groups, can be found in the DP-R|EX data explorer.

DP-R|EX Data publication

DP-R|EX is proud to announce the release of the dataset “Rhineland-Palatinate Monitor 2023”, now available at the GESIS Data Archive. The data are available here:

https://doi.org/10.4232/1.14635

The survey (CATI/CAWI) comprised 1,216 interviews and was conducted in 2023 by the Trier Institute for Democracy and Political Party Research (TIDuP) led by Prof. Uwe Jun. The first Rhineland-Palatinate Monitor not only expands the steadily growing series of German state-level monitors and provides an independent analytical instrument for examining the political culture of the federal state, but also aims to enhance comparability across the federal states through their respective monitors. In doing so, the political culture of Rhineland-Palatinate can be contrasted in particularly meaningful ways, allowing region-specific issues and attitudinal patterns to be addressed more precisely. The survey is aligned with other existing monitors in order to maximize these possibilities for comparison. The representative study was conducted around four thematic areas: (1) democracy and society, (2) state politics, (3) political participation, and (4) social participation. In total, 67 items were administered to assess attitudes toward democracy, to examine key issues in Rhineland-Palatinate, and to explore societal tensions.

DP-R|EX Data publication

How did the movement against COVID-19 containment measures take shape? The newly released Telegram COVID-19 Protest Dataset (TGCPD) provides a unique digital lens on this question. Spanning from March 2020 to December 2022, it documents 5.6 million public messages posted across 943 Telegram channels and group chats linked to Germany’s Querdenken movement and its wider network.

Figure: Monthly Message Count Across Entities’ Movement Role.

As shown in the figure, message activity skyrocketed from the early months of 2020 to more than five million messages by 2022—tracing the rise and persistence of a protest movement that largely organized itself online. The result is an exceptional data resource of great depth and scale, ready for scholarly research into digital mobilization and networked activism.

The data contains message texts, metadata, link structures (forward links), and network metrics, providing insights into how information and influence flowed through the protest ecosystem. By combining several carefully curated data sources, researchers can even partially recover deleted or short-lived content, a rare achievement in Telegram research.

Information about the study and details about the data access can be found here: https://doi.org/10.4232/1.14316

Social movement studies – Quantifiable, long-term insights into the organization of the German Querdenken movement.


Network analysis – Mapping connections between core and peripheral actors, feedback loops, and influence dynamics.


Content studies – Exploring dominant themes, rhetoric (e.g., conspiracy narratives), and their spread across networks.


Platform governance – Investigating message and channel deletions and their implications for data transparency.

 

DP-R|EX Data publication

DP-R|EX is proud to announce the release of the dataset “Radical and Extremist Attitudes in Europe”, now available at the GESIS Data Archive. The data are available here:

https://doi.org/10.4232/1.14540

The online survey (CAWI) comprised 5,543 interviews, including 4,748 complete responses, and was conducted by Marvin Stein. It investigates the so-called “Querdenken” movement, which emerged in Germany in response to protests against the measures introduced to contain the spread of COVID-19. The survey captures protest-related and populist attitudes, personality traits, and conspiracy beliefs, as well as party identification and sympathies with social movements associated with the protest scene. A study description, including information on the covered concepts and groups, can be found in the DP-R|EX data explorer.

Comparative analyses revealed significant differences between participants in the Querdenken movement and the broader German population, particularly with respect to socio-economic attitudes and views on immigration.

… Follow-Up on the SCORE Study

Geo-referenced Data on Sub-national Context and Radical Right Support in Europe

DP-R|EX is proud to announce that the extended part of the SCoRE study is now available via the Data Secure Center at GESIS. These data allow the analysis of regional differences in support for the radical right. The sensitive data have a high potential of re-use due to their small-scale division into so-called raster grids and contribute significantly to research on spatial disparities in Germany.
Due to the detailed information on respondents’ places of residence combined with attitudes towards right-wing extremism and racism, this data deserves special protection, which is guaranteed by the Secure Data Center at GESIS. This includes a request for access to the data.

Information about the study and details about the data access can be found here: https://doi.org/10.4232/1.14316

For more information about the project, please visit the following website: https://www.score.uni-mainz.de/

DP-R|EX Data publication

Introducing our 1st data publication: ‘SCORE – Sub-national Context
and Radical Right Support in Europe

DP-R|EX is proud to announce our first data publication: SCORE – Sub-national Context and Radical Right Support in Europe.

In 2017, the University of Mainz conducted a survey to investigate the relationship between subnational variances and support for the radical right in Germany. The collected data is now available for reuse by the research community to enhance the understanding of right-wing extremism and its underlying factors. The dataset covers a range of relevant concepts and attitudes on topics such as Euroscepticism, globalization, political identification, and ethnic diversity. Therefore, it has great research potential.
Soon, it will be possible to supplement the data with geo-referenced information, allowing for regional-level analysis.

For more information about the project, please visit the following website: https://www.score.uni-mainz.de/

The study information and date access can be found here: https://doi.org/10.4232/1.14215