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Cyberbully detection survey: Malay-English glossary of cyberbullying incidents

Md. Din, Marina and Abdul Rahim, Fiza and Md. Anwar, Rina and Abu Bakar, Asmidar and Abdul Latif, Aliza (2023) Cyberbully detection survey: Malay-English glossary of cyberbullying incidents. In: 9th International Conference on Computational Science and Technology, ICCST 2022, 27 August 2022 - 28 August 2022, Johor Bahru, Johor, Malaysia.

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Official URL: http://dx.doi.org/10.1007/978-981-19-8406-8_50

Abstract

This article presents the results of a survey conducted to elicit keywords or phrases relating to cyberbullying incidents in both English and Malay languages commonly used in Malaysian society. The keywords or phrases can be utilized as a Malay and English cyberbullying glossary in the development of an auto-detection cyberbullying tool. A set of questionnaires were distributed among 329 respondents ages 15–30 years in Malaysia in the form of an online survey over one-and-a-half-month starting 1 November 2021. This study was conducted to test the items’ reliability using Cronbach’s alpha values. There are three (3) Sections to this questionnaire; Sect. 1 is about the demographics of the respondents, Sect. 2 is related to Cyberbullying, and Sect. 3 shows a few scenarios that might be or might not be a cyberbullying incident. Findings from the analyses showed that 447 words were collected, and all of these were later grouped into five (5) categories 5; Intellectual, Physical Appearance, Insulting/Offensive, Intimidating and Others. Making offensive comments or doing insulting posts was the most cyberbullying form made by the bullies. Five (5) popular words or phrases were identified as the common cyberbullying content in Malaysian society.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:cyberbullying, cyberbullying detection, machine learning, text extraction
Subjects:T Technology > T Technology (General) > T58.5-58.64 Information technology
Divisions:Razak School of Engineering and Advanced Technology
ID Code:108188
Deposited By: Yanti Mohd Shah
Deposited On:20 Oct 2024 08:07
Last Modified:20 Oct 2024 08:07

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