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Privacy and everyday users of machine translation

Bibliographic Data

ID22024802
AuthorsLucas Nunes Vieira (0000-0003-3038-4001, University of Bristol), Carol O’Sullivan (0000-0002-1377-7527, University of Bristol), Xiaochun Zhang (0000-0001-6334-6525, University of Bristol), Minako O’Hagan (0000-0003-0870-0725, University of Auckland)
Year2023
Volume12
Issue1
Pages21-44
Publication date2023-06-09
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueTranslation Spaces (JOURNAL)
Journal identifiersISSN: 2211-3711 • E-ISSN: 2211-372X
PublisherJohn Benjamins Publishing Company (PUBLISHER • NL)
DOI10.1075/ts.22012.nun
OpenAlexW4313447845
LanguageEN
Citations received6
References cited26

The concept of privacy is central to technology use, but in machine translation (MT) research the meaning of privacy, and what it represents to everyday MT users, are both often left unquestioned. This article examines user conceptualisations of privacy and their implications for the understanding of human-MT interaction. It draws on the privacy literature, on an online forum and on a survey of MT users. The findings show that while users have concerns about sharing information such as passwords, images, and contact details with MT providers, some of them can conversely see MT as a technology that provides privacy. The article discusses these findings in relation to the informational and relational dimensions of privacy. It argues that relational privacy, and the interpersonal exchanges for which MT can be used as a substitute, should be considered more explicitly in discussions of the societal implications of MT technology

Computer security · Information privacy · Internet privacy · Password · World Wide Web · Computer Science · Hate Speech and Cyberbullying Detection · Interpreting and Communication in Healthcare · Psychology · Text Readability and Simplification

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Unique citing works6
Citations per year3
Citation span2024 - 2026 (3)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 5

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Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae