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Reconceptualizing translation and translators in the digital age: YouTube comment translation on China’s Bilibili

Zheng, Binghan; Yu, Jinquan; Zhang, Boya; Shen, Chunli

Reconceptualizing translation and translators in the digital age: YouTube comment translation on China’s Bilibili Thumbnail


Authors

Jinquan Yu

Boya Zhang

Chunli Shen



Abstract

A new participatory ecology of translation facilitated by digital technologies has significant implications for understanding translation and translators. This article examines YouTube comment translation on Bilibili in China to reconceptualize translation and translators by taking the Will Smith-Chris Rock confrontation at the Oscars 2022 and the assassination of Shinzo Abe as two illustrative case studies. It demonstrates that Chinese netizens participate in civic engagement and translate verbal and written YouTube comments into a multimodal text with various technological tools. Based on the emergent properties of YouTube comment translation, we argue that translation can be reconceptualized as an assemblage of multimodal resources that reconstitute and extend the original meanings of the source text. We also propose to expand the concept of translators to encompass both human and non-human translators, challenging the anthropocentric bias in translator studies. Finally, a post-humanist approach is suggested to reconceptualize translation and translators in the digital age.

Citation

Zheng, B., Yu, J., Zhang, B., & Shen, C. (2023). Reconceptualizing translation and translators in the digital age: YouTube comment translation on China’s Bilibili. Translation Studies, https://doi.org/10.1080/14781700.2023.2205423

Journal Article Type Article
Acceptance Date Apr 18, 2023
Online Publication Date May 9, 2023
Publication Date 2023
Deposit Date Apr 19, 2023
Publicly Available Date Jun 13, 2023
Journal Translation Studies
Print ISSN 1478-1700
Electronic ISSN 1751-2921
Publisher Taylor and Francis Group
Peer Reviewed Peer Reviewed
DOI https://doi.org/10.1080/14781700.2023.2205423
Public URL https://durham-repository.worktribe.com/output/1175971

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Published Journal Article (2.4 Mb)
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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/

Copyright Statement
© 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.







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