Cucus, Ahmad and B.A, Luhur and Al-Fahim, Mubarak Ali and Yuli Endra, Robby and Aprlinda, Yuthsi (2022) Bibliometrical analysis of workers quality on crowdsourcing based on VOS viewer. In: The 6th National Conference for Postgraduate Research (NCON-PGR 2022) , 15 November 2022 , Virtual Conference, Universiti Malaysia Pahang, Malaysia. p. 32..
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Abstract
Data collection activities are used for various needs in human life, such as business, education,health, transportation, and various other services. Data collection techniques through human assistance are also called crowdsourcing. Crowdsourcing is a distributed problem-solving mechanism that is available to the general public over the Internet. Crowdsourcing is one way to collect data and analyze data in big data. Some of the problems in collecting data from workers are as follows data received from workers have a high potential for noise because there has been no selection and validation on the quality of workers. However, it is not certain what factors can affect the quality of workers in crowdsourcing. This paper tries to explore the criteria that become the quality of workers in crowdsourcing activities by using Bibliometric Mapping by using tools such as VOS viewer.
| Item Type: | Conference or Workshop Item (Lecture) |
|---|---|
| Uncontrolled Keywords: | Crowdsourcing; VOSViewer; Worker quality |
| Subjects: | Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General) |
| Faculty/Division: | Institute of Postgraduate Studies Faculty of Computing |
| Depositing User: | Mr Muhamad Firdaus Janih@Jaini |
| Date Deposited: | 09 Jan 2023 04:51 |
| Last Modified: | 09 Jan 2023 04:51 |
| URI: | http://umpir.ump.edu.my/id/eprint/36596 |
| Download Statistic: | View Download Statistics |
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