arXiv Computation and Language
Translation and data ethics
Read the original on arXiv Computation and Language →This chapter introduces data ethics for translation, outlining key ethical concerns such as copyright, ownership, and bias that affect all data types. It also highlights specific challenges for minoritized language communities and those on the digital divide, where data can reinforce power imbalances. The authors conclude by discussing responsibility, regulation, and the increasing focus on data ethics within translation studies.
Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computation and Language.