CyberAid: Are your children safe from cyberbullying?

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

Teh Phoey Lee 2021 cyberaid are your children safe from cyberbullying.pdf - Accepted Version
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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.

Item Type: Article
Uncontrolled Keywords: Machine language; Cyberbully; Textual analysis; Hate speech Human computer interface Mobile application
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: Others > Non Sunway Academics
Sunway University > School of Engineering and Technology [formerly School of Science and Technology until 2020] > Dept. Computing and Information Systems
Depositing User: Dr Janaki Sinnasamy
Related URLs:
Date Deposited: 08 Mar 2022 08:10
Last Modified: 08 Mar 2022 08:10

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