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Data Portal Right-Wing Extremism - Trust Agency for the Secure Data Exchange of Social Media Account Lists between Research Projects (DP-Rex VrAN)

Data Portal Right-Wing Extremism - Trust Agency for the Secure Data Exchange of Social Media Account Lists between Research Projects (DP-Rex VrAN)

The project aims at establishing and operating a data portal to support research on racism and right-wing extremism. It is carried out in cooperation with the Leibniz Institute for the Social Sciences GESIS. The portal facilitates the search for and access to existing databases and helps researchers to share their own research data.

Within the framework of this overall project, the sub-project "Trust Agency Directory of Right-Wing Extremist Actors and Networks VrAN" is being implemented at the HBI. It is creating a research data infrastructure for the secure exchange of social media actor directories in accordance with data protection regulations. In this project, we will clarify the legal framework and requirements for a data exchange process via a trust office, which will be set up at the Leibniz Institute for the Social Sciences GESIS. This data exchange process will be implemented technically. In addition, we will prepare templates for the legal documents for participation in the data exchange.

In workshops, we will ensure that the requirements of the scientific community are considered in the development of the data exchange process and teach working with the research infrastructure to participate in the data exchange.

Photo by Manuel Geissinger on Pexels
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Project Description

The equal political and social participation of religious and ethnic minorities has again become increasingly visible as a political conflict line since the immigration wave of 2015/2016. This line of conflict becomes relevant because the constitutional state is called upon to prevent discrimination against ethnic and religious minorities.

In order to provide an empirical basis for the development of effective intervention programmes, social science research needs to intensify its research on the causes and effects of racism and extremism.

Research data infrastructures can increase the efficiency of the research process by sharing data and tools within the research community. This avoids redundant surveys and data collections and provides access to particularly important data sources.

Project Information


Duration: 2022-2023

Research programme:
FP4 - Algorithmed Public Spheres

Third party

BMBF, Projektträger DLR, Förderkennzeichen 01UG2151D

Cooperation Partner

Dr. Pascal Siegers, GESIS – Leibniz Institut für Sozialwissenschaften

Contact person

Dr. Gregor Wiedemann
Senior Researcher Computational Social Sciences

Dr. Gregor Wiedemann

Leibniz-Institut für Medienforschung | Hans-Bredow-Institut (HBI)
Rothenbaumchaussee 36
20148 Hamburg
Tel. +49 (0)40 450 21 7 55
Fax +49 (0)40 45 02 17 77

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