Prof. Dr Nicole Doerr

Senior Research Fellow

Käte Hamburger Kolleg / Centre for Global Cooperation Research
Schifferstraße 44
47059 Duisburg
Deutschland

Phone: +49 (0)203 379-5230
Fax: +49 (0)203 379-5276
E-Mail: doerr@gcr21.uni-due.de

Research Interests

  • Democracy, discursive attacks on liberal democracy, racism and anti-racism
  • Social movements, progressive vs far right political mobilization
  • Translation and transnational social movements
  • Climate justice
  • Intersectionality, social class
  • Democracy and deliberative politics

Fellowship

Prof. Dr Nicole Doerr joined the research group 'Global cooperation and diverse conceptions of world order' in September 2021 and will be a Senior Research Fellow at the Centre until August 2022.

Research Project at the Centre

Far-Right Visual Narratives and Translation on Digital Platforms Contesting Liberal Democratic Discourse and Government

I study how right wing activists collaborate transnationally on digital platforms by sharing visual narratives and anti-immigrant symbols contesting the legitimacy of liberal democratic discourse, governments and institutions. While there is a growing body of empirical research on the global rise of the populist right, the Corona pandemic has contributed to unprecedented political turmoil and contestation of liberal government legitimacy, amongst others due to the spread of digital networking between far-right social movements internationally. What we are still missing is systematic research on the role of visual technologies and shared imaginaries of ethnonationalist citizenship enabling a stronger convergence, shared symbolism, and translation of far-right ideologies delegitimating liberal democratic discourse worldwide. I study far right activist translators and their visual and linguistic pratices and ideological positionality as brokers between different audiences, groups, and identities. I team up with computer scientists and social data scientists to develop a new method combining critical qualitative discursive and visual analysis with multiple computerized tools.