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Michael Preminger

Biographic Data

ID269420
NAMEMichael Preminger
GIVEN NAMESMichael
FAMILY NAMEPreminger
SIGNATUREPREMINGER M
AFFILIATIONSOsloMet – Oslo Metropolitan University
ORCID0000-0003-3524-4374
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR1999
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Digital parasitism

    Open Access•Terje Colbjørnsen, Tsehaye Haidemariam et al.•ARTICLE•Convergence The International…•2026

    This article investigates the intersection of generative Artificial Intelligence (AI) and the book industry, focusing on the use of copyrighted literary works for training large language models (LLMs). As LLMs require enormous volumes of content for training, published books and other media have become valuable sources of data. Many training datasets appear to have been assembled without authorization or transparency, raising acute legal, ethical…

  • Automated Motif Identification in Folklore Text Corpora

    Open Access•Vilmos Voigt, Michael Preminger et al.•ARTICLE•Folklore Electronic Journal of…•1999

    Commissioned by the Hungarian Academy of Science, we carried out an experiment in 1996-1997 (grant no. 96-114/31). Aspects of the experiment fell into the categories of folklore text studies, automated classification, and visual presentation of information. The

No prominent works on this page.

  • Automated Motif Identification in Folklore Text Corpora

    Open Access•Vilmos Voigt, Michael Preminger et al.•ARTICLE•Folklore Electronic Journal of…•1999

    Commissioned by the Hungarian Academy of Science, we carried out an experiment in 1996-1997 (grant no. 96-114/31). Aspects of the experiment fell into the categories of folklore text studies, automated classification, and visual presentation of information. The

  • Digital parasitism

    Open Access•Terje Colbjørnsen, Tsehaye Haidemariam et al.•ARTICLE•Convergence The International…•2026

    This article investigates the intersection of generative Artificial Intelligence (AI) and the book industry, focusing on the use of copyrighted literary works for training large language models (LLMs). As LLMs require enormous volumes of content for training, published books and other media have become valuable sources of data. Many training datasets appear to have been assembled without authorization or transparency, raising acute legal, ethical…

Digital Humanities and Scholarship (2 works) · Art (1 work) · Biology (1 work) · Computer Science (1 work) · Digital Media and Philosophy (1 work) · Ethics and Social Impacts of AI (1 work) · Folklore (1 work) · Folklore, Mythology, and Literature Studies (1 work) · Generative grammar (1 work) · History (1 work)

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