open access publication

Article, 2024

'Denmark contra Jvdæos' : Conspiracist antisemitism and stigmatised knowledge in Danish national socialism, 1938–1945

Nordisk Judaistik/Scandinavian Jewish Studies, ISSN 2343-4929, 0348-1646, Volume 35, 1, Pages 32-51, 10.30752/nj.142229

Contributors

Bak, Sofie Lene [1]

Affiliations

  1. [1] University of Copenhagen
  2. [NORA names: KU University of Copenhagen; University; Denmark; Europe, EU; Nordic; OECD]

Abstract

This article examines the relationship between conspiracy theories and antisemitism by posing the question of whether conspiracism is an inseparable and integrated part of national socialist antisemitism or a marginalised, extremist position even within such settings. An analysis of two Danish national-socialist journals, Kamptegnet and National-Socialisten, demonstrates how the introduction of stigmatised knowledge in the form of anti-Masonic conspiracy theories and the myth of ritual murder led to an antisemitic escalation process in Kamptegnet, imbuing antisemitism with a redemptive character during the Second World War. Antisemitic conspiracy theories, on the other hand, played a relatively marginal role in National-Socialisten, where aspects that enjoyed promotion in Germany were downplayed for tactical reasons. While antisemitism in National-Socialisten primarily played a role in caricatures and as a bizarre form of entertainment, an escalation can also be observed here as a consequence of the progression of the war and the intensified German propaganda effort.

Keywords

Germany, National Socialism, Second, Second World War, Social, World War, analysis, antisemitic conspiracy theories, antisemitism, bizarre forms, caricature, consequences, conspiracism, conspiracy, conspiracy theories, efforts, entertainment, escalation, escalation process, extremist positions, introduction, journals, knowledge, murder, myth, position, process, progression, promoter, propaganda efforts, reasons, relationship, ritual murder, tactical reasons, theory, war

Data Provider: Digital Science