Data-driven Crowdsourcing in Public Emergency

Hui Zhao; Ali Selamat

Proceedings of the 2nd International Conference on Internet Technology and Educational Informatization, ITEI 2022, December 23-25, 2022, Harbin, China

Research Article

Data-driven Crowdsourcing in Public Emergency

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Cite: BibTeX Plain Text

@INPROCEEDINGS{10.4108/eai.23-12-2022.2329206,
    author={Hui  Zhao and Ali  Selamat},
    title={Data-driven Crowdsourcing in Public Emergency},
    proceedings={Proceedings of the 2nd International Conference on Internet Technology and Educational Informatization, ITEI 2022, December 23-25, 2022, Harbin, China},
    publisher={EAI},
    proceedings_a={ITEI},
    year={2023},
    month={6},
    keywords={crowdsourcing translation public emergency translators’ acceptance},
    doi={10.4108/eai.23-12-2022.2329206}
}

Hui Zhao
Ali Selamat
Year: 2023
Data-driven Crowdsourcing in Public Emergency
ITEI
EAI
DOI: 10.4108/eai.23-12-2022.2329206

Hui Zhao¹^,*, Ali Selamat¹

1: Universiti Technologi Malaysia

*Contact email: 524850884@qq.com

Abstract

As a new translation model in the Internet era, crowdsourcing translation has attracted the attention of worldwide scholars, this study analyzes crowdsourcing translation's application mechanism and influence in public crisis events. This research applies UTAUT model to study the translators' acceptance of the crowdsourcing platform and how the other actors involved. The model assumptions are verified by using the calculation data of UTAUT configuration. This can provide reasonable recommendations for upgrading public crowdsourcing translation services in the world. A feasible reference can also serve the whole language service industry in the public crisis management system.

Keywords: crowdsourcing translation public emergency translators’ acceptance

Published: 2023-06-14
Publisher: EAI

: http://dx.doi.org/10.4108/eai.23-12-2022.2329206