Reading Computer-Generated Texts

Bibliographic Data

ID19948412
AuthorsLeah Henrickson (0000-0001-8008-2373, University of Leeds, corresponding author)
Year2021
Publication date2021-02-28
Open AccessYes
TypeBOOK
VenueReading Computer-Generated Texts (SOURCE_BOOK)
PublisherCambridge University Press (PUBLISHER • US)
DOI10.1017/9781108906463
OpenAlexW3125526196
Open LibraryOL34772898M
ISBN9781108906463
LanguageEN
Citations received13
References cited65

Natural language generation (NLG) is the process wherein computers produce output in readable human languages. Such output takes many forms, including news articles, sports reports, prose fiction, and poetry. These computer-generated texts are often indistinguishable from human-written texts, and they are increasingly prevalent. NLG is here, and it is everywhere. However, readers are often unaware that what they are reading has been computer-generated. This Element considers how NLG conforms to and confronts traditional understandings of authorship and what it means to be a reader. It argues that conventional conceptions of authorship, as well as of reader responsibility, change in instances of NLG. What is the social value of a computer-generated text? What does NLG mean for modern writing, publishing, and reading practices? Can an NLG system be considered an author? This Element explores such question, while presenting a theoretical basis for future studies

Art · Element (criminal law) · Linguistics · Literature · Natural language · Natural Language Generation · Poetry · Political science · Process (computing) · Programming language · Publishing · Reading (process) · Value (mathematics) · Artificial Intelligence · Authorship Attribution and Profiling · Computer Science · Digital Games and Media · Digital Humanities and Scholarship · Law · Philosophy · Mathematics

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Open DOIOpen Access