Privacy and everyday users of machine translation

Lucas Nunes Vieira, Carol M O'Sullivan, Xiaochun Zhang, Minako O'Hagan

Research output: Contribution to journalArticle (Academic Journal)peer-review

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Abstract

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.
Original languageEnglish
JournalTranslation Spaces
Early online date20 Dec 2022
Publication statusE-pub ahead of print - 20 Dec 2022

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