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Automated Validation of Crowdsourced Data

Algorithms; Automation; Reliability; automated; crowdsourcer; Data validation; valid data; validity; Crowdsourcing

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Bibliographic Details
Main Authors: Ibrahim Z., Aris H., Mansur A.
Other Authors: 7005685706
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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id my.uniten.dspace-23767
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spelling my.uniten.dspace-237672023-05-29T14:51:40Z Automated Validation of Crowdsourced Data Ibrahim Z. Aris H. Mansur A. 7005685706 13608397500 57209108001 Algorithms; Automation; Reliability; automated; crowdsourcer; Data validation; valid data; validity; Crowdsourcing Ensuring the accuracy of information or data contributed by the crowd is amongst the challenges in crowdsourcing initiatives. Data that do not meet certain criteria set by the crowdsourcer are also submitted by the crowd in a crowdsourcing initiative due to its openness. Thus, there is a need to ensure that only valid data are being captured before the data are being processed further. However, manually validating the data is not practical due to the high volume of data involved in crowdsourcing and their unpredictable nature. Therefore, in this research, an automated algorithm to validate crowdsourced data was developed. The objective was to identify the processes needed to enable the validation of crowdsourced data to be performed automatically. Two types of validation were included; task validation and worker validation. Kuder-Richardson Formula 20 was used to compute validity of task and mean formula converted to percentage was used in computing worker validity. The algorithm was implemented by embedding it in a prototype crowdsourcing application called AsnafCircle that crowdsourced information on eligible asnaf (alms recipient) from the public. Evaluation showed that the algorithm was able to automatically compute values that determine task and worker validity. Evaluation by experts also conformed the necessity of the processes that constitute the algorithm. The presence of this algorithm will help to ensure validity of contributed data in crowdsourcing initiatives, hence, improving their reliability. � 2018 IEEE. Final 2023-05-29T06:51:40Z 2023-05-29T06:51:40Z 2018 Conference Paper 10.1109/SCORED.2018.8711108 2-s2.0-85066490883 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85066490883&doi=10.1109%2fSCORED.2018.8711108&partnerID=40&md5=da632d1ebd8ffd2183df4778099f8e97 https://irepository.uniten.edu.my/handle/123456789/23767 8711108 Institute of Electrical and Electronics Engineers Inc. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Algorithms; Automation; Reliability; automated; crowdsourcer; Data validation; valid data; validity; Crowdsourcing
author2 7005685706
author_facet 7005685706
Ibrahim Z.
Aris H.
Mansur A.
format Conference Paper
author Ibrahim Z.
Aris H.
Mansur A.
spellingShingle Ibrahim Z.
Aris H.
Mansur A.
Automated Validation of Crowdsourced Data
author_sort Ibrahim Z.
title Automated Validation of Crowdsourced Data
title_short Automated Validation of Crowdsourced Data
title_full Automated Validation of Crowdsourced Data
title_fullStr Automated Validation of Crowdsourced Data
title_full_unstemmed Automated Validation of Crowdsourced Data
title_sort automated validation of crowdsourced data
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
_version_ 1806423297534984192
score 13.211869

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