Doing good for others or self: a study of crowdsourced translation on digital labor platforms
Purpose: Over the past decade, digital labor platforms (DLP) have emerged as a new trend and are major components of the platform economy. Crowdsourcing is being used in an innovative way to allow firms to outsource tasks to individuals with access to DLP. Apart from paid crowdsourcing, unpaid crowd...
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sg-ntu-dr.10356-1757502024-05-12T15:34:59Z Doing good for others or self: a study of crowdsourced translation on digital labor platforms Lee, Chei Sian Yang, Yuhang Low, Koon Yen Chia, Hong Kit Ma, Long Wee Kim Wee School of Communication and Information School of Computer Science and Engineering Computer and Information Science Self-determination theory Public services motivation Purpose: Over the past decade, digital labor platforms (DLP) have emerged as a new trend and are major components of the platform economy. Crowdsourcing is being used in an innovative way to allow firms to outsource tasks to individuals with access to DLP. Apart from paid crowdsourcing, unpaid crowdsourcing has also emerged, where crowdsourced volunteers are recruited to contribute to crowdsourcing tasks available on the platform. Integrating perspectives from the public services motivation, uses and gratification theory and self-determination theory, this paper investigates the motives and underlying needs behind participation in the crowdsourcing of translation tasks. Design/methodology/approach: Interviews were conducted with 21 volunteer crowdsourced volunteers from a voluntary global crowdsourcing community to understand the factors driving them to spend time and effort contributing to the community. Content analysis methods were utilized to analyze the text data. Findings: The results indicated that the autonomy, competence and relatedness needs were the underlying needs of the crowdsourced volunteers. Furthermore, we found diverse motives consisting of both intrinsic and extrinsic motivations driving users to contribute voluntarily. Originality: While prior research efforts have clarified many issues related to participation in DLP, the reasons behind volunteers' participation in DLP are still unexplored. The findings of the present study contribute to a better understanding of the motives underlying volunteers’ participation in the crowdsourcing tasks on DLP. Published version 2024-05-06T02:10:36Z 2024-05-06T02:10:36Z 2024 Journal Article Lee, C. S., Yang, Y., Low, K. Y., Chia, H. K. & Ma, L. (2024). Doing good for others or self: a study of crowdsourced translation on digital labor platforms. Computers in Human Behavior Reports, 13, 100373-. https://dx.doi.org/10.1016/j.chbr.2024.100373 2451-9588 https://hdl.handle.net/10356/175750 10.1016/j.chbr.2024.100373 2-s2.0-85182576365 13 100373 en Computers in Human Behavior Reports © 2024 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/bync-nd/4.0/). application/pdf |
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Computer and Information Science Self-determination theory Public services motivation Lee, Chei Sian Yang, Yuhang Low, Koon Yen Chia, Hong Kit Ma, Long Doing good for others or self: a study of crowdsourced translation on digital labor platforms |
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Purpose: Over the past decade, digital labor platforms (DLP) have emerged as a new trend and are major components of the platform economy. Crowdsourcing is being used in an innovative way to allow firms to outsource tasks to individuals with access to DLP. Apart from paid crowdsourcing, unpaid crowdsourcing has also emerged, where crowdsourced volunteers are recruited to contribute to crowdsourcing tasks available on the platform. Integrating perspectives from the public services motivation, uses and gratification theory and self-determination theory, this paper investigates the motives and underlying needs behind participation in the crowdsourcing of translation tasks. Design/methodology/approach: Interviews were conducted with 21 volunteer crowdsourced volunteers from a voluntary global crowdsourcing community to understand the factors driving them to spend time and effort contributing to the community. Content analysis methods were utilized to analyze the text data. Findings: The results indicated that the autonomy, competence and relatedness needs were the underlying needs of the crowdsourced volunteers. Furthermore, we found diverse motives consisting of both intrinsic and extrinsic motivations driving users to contribute voluntarily. Originality: While prior research efforts have clarified many issues related to participation in DLP, the reasons behind volunteers' participation in DLP are still unexplored. The findings of the present study contribute to a better understanding of the motives underlying volunteers’ participation in the crowdsourcing tasks on DLP. |
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Wee Kim Wee School of Communication and Information |
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Wee Kim Wee School of Communication and Information Lee, Chei Sian Yang, Yuhang Low, Koon Yen Chia, Hong Kit Ma, Long |
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Article |
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Lee, Chei Sian Yang, Yuhang Low, Koon Yen Chia, Hong Kit Ma, Long |
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Lee, Chei Sian |
title |
Doing good for others or self: a study of crowdsourced translation on digital labor platforms |
title_short |
Doing good for others or self: a study of crowdsourced translation on digital labor platforms |
title_full |
Doing good for others or self: a study of crowdsourced translation on digital labor platforms |
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Doing good for others or self: a study of crowdsourced translation on digital labor platforms |
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Doing good for others or self: a study of crowdsourced translation on digital labor platforms |
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doing good for others or self: a study of crowdsourced translation on digital labor platforms |
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2024 |
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https://hdl.handle.net/10356/175750 |
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