Identity and Security : The Affective Ontology of Populism

Warning

This publication doesn't include Faculty of Economics and Administration. It includes Faculty of Social Studies. Official publication website can be found on muni.cz.
Authors

BARTOSZEWICZ Monika Gabriela

Year of publication 2021
Type Chapter of a book
MU Faculty or unit

Faculty of Social Studies

Citation
Attached files
Description Populism is one of the main symptoms of the contemporary crisis in Europe. How can the rise of populism best be understood? Whereas existing analyses predominantly utilise rationalist and behaviouralist approaches and focus on political, economic and cultural interests, this contribution proposes a different approach. The author focusses on affects and emotions. The author shows that where other parties or political movements opt for rational and dispassionate debates on merits of political programmes, populists instead offer, invoke and respond to strong emotions across multiple political settings. Emotions feed and propel populism in its bid for power by forming collective identities through the clustering of love for ‘us’ and hate for the ‘other’.Ontological Security Theory (OST) is used here as a framework for understanding populist behaviour in the sphere of security perception, identification and community-building. In recent debates, OST has been used because it allows the motives for certain behaviours to be located in the need to maintain or recreate positive identity constructed via biographical narratives. OST suggests that any lack of narrative continuity regarding the shape of the self-images for both individual and collective identities will therefore constitute a source of ontological threat; the lack of a sense of security. In this contribution, the author uses the examples of populist policies and discourses in Hungary and Poland that illustrate this dynamic to analyse the past- and future-oriented collective identifications underpinning the recent rise of populism in Europe.
Related projects:

You are running an old browser version. We recommend updating your browser to its latest version.