CyberAid: Are your children safe from cyberbullying?

Researchers around the world have been implementing machine learning as a method to detect cyberbullying text. The machine is trained using features such as variations in texts, through social media context and interactions in a social network environment. The machine can also identify and profile u...

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Main Authors: Thun, Lee Jia *, Teh, Phoey Lee *, Cheng, Chi-Bin
Format: Article
Language:English
Published: Elsevier / King Saud University 2021
Subjects:
Online Access:http://eprints.sunway.edu.my/1969/
http://eprints.sunway.edu.my/1969/1/Teh%20Phoey%20Lee%202021%20cyberaid%20are%20your%20children%20safe%20from%20cyberbullying.pdf
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author Thun, Lee Jia *
Teh, Phoey Lee *
Cheng, Chi-Bin
author_facet Thun, Lee Jia *
Teh, Phoey Lee *
Cheng, Chi-Bin
author_sort Thun, Lee Jia *
building SU Institutional Repository
collection Online Access
description Researchers around the world have been implementing machine learning as a method to detect cyberbullying text. The machine is trained using features such as variations in texts, through social media context and interactions in a social network environment. The machine can also identify and profile users through gender or use of hate speech. In this study, we analysed different types of mobile applications that manage cyberbullying. This study proposes a mechanism, which combines the best cyberbullying detection features to fill the gaps and limitations of existing applications. The results of the study have shown that the proposed mobile application records a higher accuracy in detecting cyberbully than other available applications.
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spelling sunway-19692022-03-08T08:10:09Z http://eprints.sunway.edu.my/1969/ CyberAid: Are your children safe from cyberbullying? Thun, Lee Jia * Teh, Phoey Lee * Cheng, Chi-Bin QA76 Computer software Researchers around the world have been implementing machine learning as a method to detect cyberbullying text. The machine is trained using features such as variations in texts, through social media context and interactions in a social network environment. The machine can also identify and profile users through gender or use of hate speech. In this study, we analysed different types of mobile applications that manage cyberbullying. This study proposes a mechanism, which combines the best cyberbullying detection features to fill the gaps and limitations of existing applications. The results of the study have shown that the proposed mobile application records a higher accuracy in detecting cyberbully than other available applications. Elsevier / King Saud University 2021 Article PeerReviewed text en cc_by_nc_4 http://eprints.sunway.edu.my/1969/1/Teh%20Phoey%20Lee%202021%20cyberaid%20are%20your%20children%20safe%20from%20cyberbullying.pdf Thun, Lee Jia * and Teh, Phoey Lee * and Cheng, Chi-Bin (2021) CyberAid: Are your children safe from cyberbullying? Journal of King Saud University - Computer and Information Sciences. ISSN 1319-1578 http://doi.org/10.1016/j.jksuci.2021.03.001 doi:10.1016/j.jksuci.2021.03.001
spellingShingle QA76 Computer software
Thun, Lee Jia *
Teh, Phoey Lee *
Cheng, Chi-Bin
CyberAid: Are your children safe from cyberbullying?
title CyberAid: Are your children safe from cyberbullying?
title_full CyberAid: Are your children safe from cyberbullying?
title_fullStr CyberAid: Are your children safe from cyberbullying?
title_full_unstemmed CyberAid: Are your children safe from cyberbullying?
title_short CyberAid: Are your children safe from cyberbullying?
title_sort cyberaid: are your children safe from cyberbullying?
topic QA76 Computer software
url http://eprints.sunway.edu.my/1969/
http://eprints.sunway.edu.my/1969/
http://eprints.sunway.edu.my/1969/
http://eprints.sunway.edu.my/1969/1/Teh%20Phoey%20Lee%202021%20cyberaid%20are%20your%20children%20safe%20from%20cyberbullying.pdf