Cyberbully detection survey: Malay-English glossary of cyberbullying incidents

• Main Authors: Md. Din, Marina, Abdul Rahim, Fiza, Md. Anwar, Rina, Abu Bakar, Asmidar, Abdul Latif, Aliza
• Format: Conference or Workshop Item
• Published: 2023
• Subjects: T58.5-58.64 Information technology
• Online Access: http://eprints.utm.my/108188/; http://dx.doi.org/10.1007/978-981-19-8406-8_50
• Institution: Universiti Teknologi Malaysia

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.