Laughing at Robots : Synthesising Humour and Cyber-paranoia in Portrayals of Artificial Intelligence in Welcome to Night Vale
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14210%2F18%3A00104490" target="_blank" >RIV/00216224:14210/18:00104490 - isvavai.cz</a>
Result on the web
<a href="https://europeanjournalofhumour.org/index.php/ejhr/article/view/266/pdf" target="_blank" >https://europeanjournalofhumour.org/index.php/ejhr/article/view/266/pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.7592/EJHR2018.6.3.walsbergerova" target="_blank" >10.7592/EJHR2018.6.3.walsbergerova</a>
Alternative languages
Result language
angličtina
Original language name
Laughing at Robots : Synthesising Humour and Cyber-paranoia in Portrayals of Artificial Intelligence in Welcome to Night Vale
Original language description
This article addresses the synthesis of humour and paranoia in portrayals of artificial intelligence (AI) in the popular American podcast Welcome to Night Vale (2012-). It argues that contrary to the Relief Theory, fusing humour and cyber-paranoia does not help release the tension (anxious energy) generated within the narrative. Rather, the synthesis of humour and paranoia maintains suspense by creating within the narratives moments of ambiguity with the potential to leave the reader or audience caught between fear and laughter after the story ends.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
60206 - Specific literatures
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
European Journal of Humour Research
ISSN
2307-700X
e-ISSN
2307-700X
Volume of the periodical
6
Issue of the periodical within the volume
3
Country of publishing house
PL - POLAND
Number of pages
12
Pages from-to
1-12
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85057519106