Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)

<Previous Article In Volume
Next Article In Volume>

Ethical Study on Problems and Development of the Online Crowdsourcing Translation Platform Yeeyan Based on Big Data

Authors
Xiuying Lu1, *, Jia Li1
1School of Foreign Languages, East China Jiaotong University, Nanchang, China
*Corresponding author. Email: luxy0203@163.com
Corresponding Author
Xiuying Lu
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-064-0_77How to use a DOI?
Keywords
crowdsourcing translation; ethical analysis; Yeeyan website; developing strategies
Abstract

The emerging crowdsourcing translation industry, originating from the practice of enterprise crowdsourcing, driven by the urgent needs of the increasingly diversified translation market, effectively integrates the scattered translation resources and public wisdom. Online crowdsourcing translation platforms have exerted great social values and influences, which also have given rise to many problems. By using an online word frequency statistical analysis tool, this paper, taking Yeeyan, one of the earliest typical crowdsourcing translation platforms in China, as a case study, introduces the ethical issues of online crowdsourcing translation platforms through data analysis of key and high-frequency comments, and proposes some strategies for online crowdsourcing translation platforms.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
27 December 2022
ISBN
978-94-6463-064-0
ISSN
2589-4900
DOI
10.2991/978-94-6463-064-0_77How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Xiuying Lu
AU  - Jia Li
PY  - 2022
DA  - 2022/12/27
TI  - Ethical Study on Problems and Development of the Online Crowdsourcing Translation Platform Yeeyan Based on Big Data
BT  - Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)
PB  - Atlantis Press
SP  - 746
EP  - 757
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-064-0_77
DO  - 10.2991/978-94-6463-064-0_77
ID  - Lu2022
ER  -