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Article . 2021 . Peer-reviewed
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Article . 2022 . Peer-reviewed
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https://doi.org/10.1163/978900...
Part of book or chapter of book . 2022 . Peer-reviewed
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Conspiracy Theories as Fiction

Kafka and Sade
Authors: Airaksinen Timo;

Conspiracy Theories as Fiction

Abstract

Abstract: In this paper, I study conspiracy theories as two novelists handle them: Kafka and Sade. Kafka’s depiction of guilt depends on anxiety that refers to nameless accusations. His protagonists may well assume that a conspiracy targets them in a way they can never understand. I explain the logic of the law that embodies such anxiety, in his novels The Trial and The Process. My second example is the Marquis de Sade who gives many examples of conspiracies on his major novels Justine and Juliette. I study two of them, first, the group of murderous monks in Justine and the Parisian secret society called Sodality in Juliette. Both are successful organizations and Sade helps us understand why this is so. I discuss some real life examples of conspiracies. Finally, I compare Kafka, Sade, and their viewpoints: Kafka’s is that of the victim and Sade’s that of the victor.

Peer reviewed

Country
Finland
Related Organizations
Keywords

punishment, Kafka, Sade, subversion, guilt, secret society, Philosophy, conspiracy theories, law, crime

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green