0557010 - ÚČL 2023 RIV SK eng J - Journal Article
Husárová, Z. - Piorecký, Karel
Reception of literature generated by artificial neural networks.
World Literature Studies. Roč. 14, č. 1 (2022), s. 44-60. ISSN 1337-9275
Grant - others:AV ČR(CZ) Akademická prémie - Praemium Academiae
Research Infrastructure: CLB II - 90136
Institutional support: RVO:68378068
Keywords : artificial poetry * generative literature * GPT-2 model * literary metareading of artificiality * literature by neural networks * neural networks
OECD category: Literary theory
Impact factor: 0.2, year: 2022
Method of publishing: Open access
https://www.sav.sk/journals/uploads/04061552WLS1_2022_husarova-piorecky.pdf

This article introduces the phenomenon of literature generated by artificial neural networks, with specific examples of texts created in the Czech and Slovak cultural environment. It follows the historical background connected with generative and combinatory poetics and later describes the principles of data processing used by neural networks work - it also presents the parameters of their machine learning. The focus lies on the reception of these artificial texts in the media and in literary studies, leading to the proposition of two reading types specialized for these works: “reading of artificiality” and “literary metareading”, while rehabilitating Mathauser’s term of “metahability”. The study concludes by suggesting “literary metareading of artificiality” as a term that would combine the aforementioned approaches into a new reception of neural network literature.
Permanent Link: http://hdl.handle.net/11104/0331127